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  • Going Direct to Consumer in Consumer Goods – Live Webcast April 12

    - by Michael Seback
    Going Direct to Consumer is top of mind with executives in the Consumer Goods (CG) industry today.   Join our live webcast on Thursday, April 12 to learn what CG companies worldwide are thinking as they deploy their direct-to-consumer strategies in an effort to better engage with today’s empowered consumer. Hear Jon Copestake, Chief Consumer Goods Analyst of the Economist Intelligence Unit and Oracle to discuss the findings and industry trends. Some key findings include: Pushing traditional media through new media channels is not enough to reach today’s more plugged in, product-savvy consumer CG companies are experimenting with new ways to establish and enhance direct, two-way relationships with their target consumers across multiple channels Survey respondents and other CG executives see their nascent e-commerce efforts as complimentary to, not competing with, existing retail channels. Register to attend on April 12, 8:00 a.m. PT / 11:00 p.m. ET  

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  • Economic modelling - Resources for valuing goods

    - by Rushyo
    tl;dr: What economic/computer science books would you suggest for learning about economic valuation of goods and simulations thereof? I'm looking to create an economic model for a game based on goods created procedurally. Every natural resource and produced good would be procedurally generated, with certain goods being assigned certain uses. Fakesium might be used for the production of Weapon A and produced from Fakesium factories which use Dilithium and Widgets as reagents, where Widgets are also the product of Foo and Bar The problem is not creating the resources and their various production utlities - but getting the game's AI empires and merchants to correctly value the goods according to their scarcity, utility and production costs. I need to create a simulation of goods which allows the various game factions to assign a common value denominator (credits) to each resource, depending on how much its worth to that empire. I see the simulation being something like: "I have a high requirement for Weapon A. Since I don't have much of Fakesium, which is needed for Weapon A - I must have a high demand for Fakesium. If I can acquire Fakesium, devalue it. If not, increase its value - and also increase demand for Dilithium and Widgets too." This is very naive - because it may be much much cheaper for the empire to simply purchase Dilithium and Widgets directly rather than purchasing Fakesium, for example. Another example is two resources might allow the creation of Weapon A (Fakesium and Lieron), so we'd need to consider that. I've been scratching my head over the problem and it keeps growing. By the time the player joins the world, I'd expect enough iterations of this process to have occurred that prices would have largely normalised - and would then only trigger rarely to compensate for major changes (eg. if the player blows up the world's only Foo mine!) Could anyone suggest resources (books, largely) which outline this style of modelling, preferably in the context of simulations? Since this problem would never occur outside fantasy worlds, I figured this is probably the most likely place to find people who have encountered similar problems and I'm sure there's people who know of good places for Games Developers to start looking at less specific economic theory too. Additionally, does anyone know of any developers with blogs whose games or research applications perform similar modelling?

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  • Producer-consumer pattern with consumer restrictions

    - by Dan
    I have a processing problem that I am thinking is a classic producer-consumer problem with the two added wrinkles that there may be a variable number of producers and there is the restriction that no more than one item per producer may be consumed at any one time. I will generally have 50-100 producers and as many consumers as CPU cores on the server. I want to maximize the throughput of the consumers while ensuring that there are never more than one work item in process from any single producer. This is more complicated than the classic producer-consumer problem which I think assumes a single producer and no restriction on which work items may be in progress at any one time. I think the problem of multiple producers is relatively easily solved by enqueuing all work items on a single work queue protected by a critical section. I think the restriction on simultaneously processing work items from any single producer is harder because I cannot think of any solution that does not require each consumer to notify some kind of work dispatcher that a particular work item has been completed so as to lift the restriction on work items from that producer. In other words, if Consumer2 has just completed WorkItem42 from Producer53, there needs to be some kind of callback or notification from Consumer2 to a work dispatcher to allow the work dispatcher to release the next work item from Producer53 to the next available consumer (whether Consumer2 or otherwise). Am I overlooking something simple here? Is there a known pattern for this problem? I would appreciate any pointers.

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  • Who Do You Turn To for Your Consumer Goods Sales and Marketing Needs

    - by ruth.donohue
    As a sales or marketing executive, you want the best software for managing your marketing, demand generation, trade promotion, customer/volume planning, and retail execution/monitoring activities and analysis. However, working with niche software vendors can result in a very disjointed user and support experience. It would be ideal to have just one end-to-end solution that could manage and optimize each of these processes...but is that just wishful thinking? Read this Gartner article to find out more!

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  • Consumer Electronics Show (CES):CRM for High Technology Firms

    - by charles.knapp
    The Consumer Electronics Show, opening Thursday, showcases product innovations that stem from best practices in design, manufacturing, and distribution. Oracle and IBM invite you to learn best practices from peers, as well as why it matters to use CRM tailored for high technology firms -- offered only by Oracle. On Wednesday, January 5, 1-7 pm at the Bellagio Hotel Las Vegas, learn from peers at IBM, VTech, Plantronics, Cisco, Symantec, and Oracle about how to improve:Channel sales, marketing, and operations management - maximize new product introductions (NPI), sales, forecasts, training, channel promotions, and settlement Winning the deal - determine the right price for the right deal for the "perfect quote," capture the order, and manage orders Collaborative and rapid supply chain planning - improve agility, inventory turns, and profits Please join us for the Oracle/IBM CES High Technology Summit and make useful connections with your peers at the evening networking reception. Register now for this FREE event.

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  • Consumer Electronics Show (CES) Summit:Best Practices in Transforming Channels and Partnerships

    - by charles.knapp
    Expanding consumer demand is driving the entire high technology industry, accompanied by product lifecycles as short as a few months, continued pricing and promotion pressures, and increased globalization. Unifying global channel management, operations, and execution flow will increase efficiency and growth. IT can help, but one must think beyond generic ERP and CRM. Please join Oracle and IBM at the Bellagio Hotel in Las Vegas, Wednesday January 5, 1-7 pm. Learn from IBM, VTech, Plantronics, Cisco, Symantec and Oracle High Tech Product Strategy how to improve:Channel sales, marketing, and operations management - enhance NPI, sales, forecasts, training, promotion planning, execution and settlement Winning the deal - determining the right price for the right deal for the "perfect quote", capturing the order and order management Collaborative and rapid supply chain planning - improve agility, inventory turns, and profits Register now for this FREE event. We hope you'll join us for our Oracle High Technology CES Summit and networking reception with your peers.

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  • Google I/O 2012 - Monetizing Digital Goods with Google Wallet

    Google I/O 2012 - Monetizing Digital Goods with Google Wallet Joel Leitch, Dan Zink, Pali Bhat Whether you're a game developer selling virtual goods or currencies, or a media developer selling news content, videos, music or any other premium digital media, having an simple way to process payments from your customers is important. In this session, we will walk through an explanation of Google Wallet for digital goods, the new features, and the improved pricing model for developers. In addition, Kabam will share their experience with Google Wallet and best practices for integration. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 307 13 ratings Time: 44:31 More in Science & Technology

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  • Producer and Consumer Threads Hang

    - by user972425
    So this is my first foray into threads and thus far it is driving me insane. My problem seems to be some kind of synchronization error that causes my consumer thread to hang. I've looked at other code and just about everything I could find and I can't find what my error is. There also seems to be a discrepancy between the code being executed in Eclipse and via javac in the command line. Intention - Using a bounded buffer (with 1000 slots) create and consume 1,000,000 doubles. Use only notify and wait. Problem - In Eclipse the consumer thread will occasionally hang around 940,000 iterations, but other times completes. In the command line the consumer thread always hangs. Output - Eclipse - Successful Producer has produced 100000 doubles. Consumer has consumed 100000 doubles. Producer has produced 200000 doubles. Consumer has consumed 200000 doubles. Producer has produced 300000 doubles. Consumer has consumed 300000 doubles. Producer has produced 400000 doubles. Consumer has consumed 400000 doubles. Producer has produced 500000 doubles. Consumer has consumed 500000 doubles. Producer has produced 600000 doubles. Consumer has consumed 600000 doubles. Producer has produced 700000 doubles. Consumer has consumed 700000 doubles. Producer has produced 800000 doubles. Consumer has consumed 800000 doubles. Producer has produced 900000 doubles. Consumer has consumed 900000 doubles. Producer has produced 1000000 doubles. Producer has produced all items. Consumer has consumed 1000000 doubles. Consumer has consumed all items. Exitting Output - Command Line/Eclipse - Unsuccessful Producer has produced 100000 doubles. Consumer has consumed 100000 doubles. Producer has produced 200000 doubles. Consumer has consumed 200000 doubles. Producer has produced 300000 doubles. Consumer has consumed 300000 doubles. Producer has produced 400000 doubles. Consumer has consumed 400000 doubles. Producer has produced 500000 doubles. Consumer has consumed 500000 doubles. Producer has produced 600000 doubles. Consumer has consumed 600000 doubles. Producer has produced 700000 doubles. Consumer has consumed 700000 doubles. Producer has produced 800000 doubles. Consumer has consumed 800000 doubles. Producer has produced 900000 doubles. Consumer has consumed 900000 doubles. Producer has produced 1000000 doubles. Producer has produced all items. At this point it just sits and hangs. Any help you can provide about where I might have misstepped is greatly appreciated. Code - Producer thread import java.text.DecimalFormat;+ " doubles. Cumulative value of generated items= " + temp) import java.util.*; import java.io.*; public class producer implements Runnable{ private buffer produceBuff; public producer (buffer buff){ produceBuff = buff; } public void run(){ Random random = new Random(); double temp = 0, randomElem; DecimalFormat df = new DecimalFormat("#.###"); for(int i = 1; i<=1000000; i++) { randomElem = (Double.parseDouble( df.format(random.nextDouble() * 100.0))); try { produceBuff.add(randomElem); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } temp+= randomElem; if(i%100000 == 0) {produceBuff.print("Producer has produced "+ i ); } } produceBuff.print("Producer has produced all items."); } } Consumer thread import java.util.*; import java.io.*; public class consumer implements Runnable{ private buffer consumBuff; public consumer (buffer buff){ consumBuff = buff; } public void run(){ double temp = 0; for(int i = 1; i<=1000000; i++) { try { temp += consumBuff.get(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } if(i%100000 == 0) {consumBuff.print("Consumer has consumed "+ i ); //if(i>999000) //{System.out.println("Consuming item " + i);} } consumBuff.print("Consumer has consumed all items."); } } Buffer/Main import java.util.*; import java.io.*; public class buffer { private double buff[]; private int addPlace; private int getPlace; public buffer(){ buff = new double[1000]; addPlace = 0; getPlace = 0; } public synchronized void add(double add) throws InterruptedException{ if((addPlace+1 == getPlace) ) { try { wait(); } catch (InterruptedException e) {throw e;} } buff[addPlace] = add; addPlace = (addPlace+1)%1000; notify(); } public synchronized double get()throws InterruptedException{ if(getPlace == addPlace) { try { wait(); } catch (InterruptedException e) {throw e;} } double temp = buff[getPlace]; getPlace = (getPlace+1)%1000; notify(); return temp; } public synchronized void print(String view) { System.out.println(view); } public static void main(String args[]){ buffer buf = new buffer(); Thread produce = new Thread(new producer(buf)); Thread consume = new Thread(new consumer(buf)); produce.start(); consume.start(); try { produce.join(); consume.join(); } catch (InterruptedException e) {return;} System.out.println("Exitting"); } }

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  • Producer/consumer in Grails?

    - by Mulone
    Hi all, I'm trying to implement a Consumer/Producer app in Grails, after several unsuccessful attempts at implementing concurrent threads. Basically I want to store all the events coming from a clients (through separate AJAX calls) in a single queue and then process such a queue in a linear way as soon as new events are added. This looks like a Producer/Consumer problem: http://en.wikipedia.org/wiki/Producer-consumer_problem How can I implement this in Grails (maybe with a timer or even better by generating an event 'process queue')? Basically I'd like to a have a singleton service waiting for new events in the queue and processing them linearly (even if the queue is loaded by several concurrent processes). Any hints? Cheers!

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  • [C++] Producer/Consumer Implementation -- Feedback Wanted

    - by bobber205
    I'm preparing for an interview in a few weeks and I thougth I would give threads in boost a go, as well as do the simple producer/consumer problem I learned in school. Haven't done it quite awhile so I was curious what you guys think of this? What should I add to make it a better example etc. Thanks for the feedback! :) ////////////////////////////////////////////////////////////////////////// boost::mutex bufferMutex; deque<int> buffer; const int maxBufferSize = 5; ////////////////////////////////////////////////////////////////////////// bool AddToBuffer(int i) { if (buffer.size() < maxBufferSize) { buffer.push_back(i); return true; } else { return false; } } bool GetFromBuffer(int& toReturn) { if (buffer.size() == 0) { return false; } else { toReturn = buffer[buffer.size()-1]; buffer.pop_back(); return true; } } struct Producer { int ID; void operator()() { while (true) { boost::mutex::scoped_lock lock(bufferMutex); int num = dice(); bool result = AddToBuffer(num); lock.unlock(); //safe area done if (result) { cout << "Producer " << this->ID << " Added " << num << endl; } else { cout << "!!Buffer was Full!!" << endl; } //Added //Now wait boost::xtime xt; xtime_get( &xt, boost::TIME_UTC); xt.nsec += 1000000 + 100000 * (rand() % 1000); boost::thread::sleep(xt); } } }; struct Consumer { int ID; void operator()() { while (true) { int returnedInt = 0; boost::mutex::scoped_lock lock(bufferMutex); bool result = GetFromBuffer(returnedInt); lock.unlock(); //safe area done if (result) { cout << "\tConsumer " << this->ID << " Took Out " << returnedInt << endl; } else { cout << "!!Buffer was Empty!!" << endl; } //Added //Now wait boost::xtime xt; xtime_get( &xt, boost::TIME_UTC); xt.nsec += 1000000 + 100000 * (rand() % 1000); boost::thread::sleep(xt); } } }; void main() { Producer p, p2; Consumer c, c2; p.ID = 1; p2.ID = 2; c.ID = 1; c2.ID = 2; boost::thread thread1(boost::ref(p)); boost::thread thread2(boost::ref(c)); boost::thread thread3(boost::ref(p2)); boost::thread thread4(boost::ref(c2)); int x; cin >> x; }

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  • Integration Patterns with Azure Service Bus Relay, Part 2: Anonymous full-trust .NET consumer

    - by Elton Stoneman
    This is the second in the IPASBR series, see also: Integration Patterns with Azure Service Bus Relay, Part 1: Exposing the on-premise service Part 2 is nice and easy. From Part 1 we exposed our service over the Azure Service Bus Relay using the netTcpRelayBinding and verified we could set up our network to listen for relayed messages. Assuming we want to consume that service in .NET from an environment which is fairly unrestricted for us, but quite restricted for attackers, we can use netTcpRelay and shared secret authentication. Pattern applicability This is a good fit for scenarios where: the consumer can run .NET in full trust the environment does not restrict use of external DLLs the runtime environment is secure enough to keep shared secrets the service does not need to know who is consuming it the service does not need to know who the end-user is So for example, the consumer is an ASP.NET website sitting in a cloud VM or Azure worker role, where we can keep the shared secret in web.config and we don't need to flow any identity through to the on-premise service. The service doesn't care who the consumer or end-user is - say it's a reference data service that provides a list of vehicle manufacturers. Provided you can authenticate with ACS and have access to Service Bus endpoint, you can use the service and it doesn't care who you are. In this post, we’ll consume the service from Part 1 in ASP.NET using netTcpRelay. The code for Part 2 (+ Part 1) is on GitHub here: IPASBR Part 2 Authenticating and authorizing with ACS In this scenario the consumer is a server in a controlled environment, so we can use a shared secret to authenticate with ACS, assuming that there is governance around the environment and the codebase which will prevent the identity being compromised. From the provider's side, we will create a dedicated service identity for this consumer, so we can lock down their permissions. The provider controls the identity, so the consumer's rights can be revoked. We'll add a new service identity for the namespace in ACS , just as we did for the serviceProvider identity in Part 1. I've named the identity fullTrustConsumer. We then need to add a rule to map the incoming identity claim to an outgoing authorization claim that allows the identity to send messages to Service Bus (see Part 1 for a walkthrough creating Service Idenitities): Issuer: Access Control Service Input claim type: http://schemas.xmlsoap.org/ws/2005/05/identity/claims/nameidentifier Input claim value: fullTrustConsumer Output claim type: net.windows.servicebus.action Output claim value: Send This sets up a service identity which can send messages into Service Bus, but cannot register itself as a listener, or manage the namespace. Adding a Service Reference The Part 2 sample client code is ready to go, but if you want to replicate the steps, you’re going to add a WSDL reference, add a reference to Microsoft.ServiceBus and sort out the ServiceModel config. In Part 1 we exposed metadata for our service, so we can browse to the WSDL locally at: http://localhost/Sixeyed.Ipasbr.Services/FormatService.svc?wsdl If you add a Service Reference to that in a new project you'll get a confused config section with a customBinding, and a set of unrecognized policy assertions in the namespace http://schemas.microsoft.com/netservices/2009/05/servicebus/connect. If you NuGet the ASB package (“windowsazure.servicebus”) first and add the service reference - you'll get the same messy config. Either way, the WSDL should have downloaded and you should have the proxy code generated. You can delete the customBinding entries and copy your config from the service's web.config (this is already done in the sample project in Sixeyed.Ipasbr.NetTcpClient), specifying details for the client:     <client>       <endpoint address="sb://sixeyed-ipasbr.servicebus.windows.net/net"                 behaviorConfiguration="SharedSecret"                 binding="netTcpRelayBinding"                 contract="FormatService.IFormatService" />     </client>     <behaviors>       <endpointBehaviors>         <behavior name="SharedSecret">           <transportClientEndpointBehavior credentialType="SharedSecret">             <clientCredentials>               <sharedSecret issuerName="fullTrustConsumer"                             issuerSecret="E3feJSMuyGGXksJi2g2bRY5/Bpd2ll5Eb+1FgQrXIqo="/>             </clientCredentials>           </transportClientEndpointBehavior>         </behavior>       </endpointBehaviors>     </behaviors>   The proxy is straight WCF territory, and the same client can run against Azure Service Bus through any relay binding, or directly to the local network service using any WCF binding - the contract is exactly the same. The code is simple, standard WCF stuff: using (var client = new FormatService.FormatServiceClient()) { outputString = client.ReverseString(inputString); } Running the sample First, update Solution Items\AzureConnectionDetails.xml with your service bus namespace, and your service identity credentials for the netTcpClient and the provider:   <!-- ACS credentials for the full trust consumer (Part2): -->   <netTcpClient identityName="fullTrustConsumer"                 symmetricKey="E3feJSMuyGGXksJi2g2bRY5/Bpd2ll5Eb+1FgQrXIqo="/> Then rebuild the solution and verify the unit tests work. If they’re green, your service is listening through Azure. Check out the client by navigating to http://localhost:53835/Sixeyed.Ipasbr.NetTcpClient. Enter a string and hit Go! - your string will be reversed by your on-premise service, routed through Azure: Using shared secret client credentials in this way means ACS is the identity provider for your service, and the claim which allows Send access to Service Bus is consumed by Service Bus. None of the authentication details make it through to your service, so your service is not aware who the consumer is (MSDN calls this "anonymous authentication").

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  • Integration Patterns with Azure Service Bus Relay, Part 3: Anonymous partial-trust consumer

    - by Elton Stoneman
    This is the third in the IPASBR series, see also: Integration Patterns with Azure Service Bus Relay, Part 1: Exposing the on-premise service Integration Patterns with Azure Service Bus Relay, Part 2: Anonymous full-trust .NET consumer As the patterns get further from the simple .NET full-trust consumer, all that changes is the communication protocol and the authentication mechanism. In Part 3 the scenario is that we still have a secure .NET environment consuming our service, so we can store shared keys securely, but the runtime environment is locked down so we can't use Microsoft.ServiceBus to get the nice WCF relay bindings. To support this we will expose a RESTful endpoint through the Azure Service Bus, and require the consumer to send a security token with each HTTP service request. Pattern applicability This is a good fit for scenarios where: the runtime environment is secure enough to keep shared secrets the consumer can execute custom code, including building HTTP requests with custom headers the consumer cannot use the Azure SDK assemblies the service may need to know who is consuming it the service does not need to know who the end-user is Note there isn't actually a .NET requirement here. By exposing the service in a REST endpoint, anything that can talk HTTP can be a consumer. We'll authenticate through ACS which also gives us REST endpoints, so the service is still accessed securely. Our real-world example would be a hosted cloud app, where we we have enough room in the app's customisation to keep the shared secret somewhere safe and to hook in some HTTP calls. We will be flowing an identity through to the on-premise service now, but it will be the service identity given to the consuming app - the end user's identity isn't flown through yet. In this post, we’ll consume the service from Part 1 in ASP.NET using the WebHttpRelayBinding. The code for Part 3 (+ Part 1) is on GitHub here: IPASBR Part 3. Authenticating and authorizing with ACS We'll follow the previous examples and add a new service identity for the namespace in ACS, so we can separate permissions for different consumers (see walkthrough in Part 1). I've named the identity partialTrustConsumer. We’ll be authenticating against ACS with an explicit HTTP call, so we need a password credential rather than a symmetric key – for a nice secure option, generate a symmetric key, copy to the clipboard, then change type to password and paste in the key: We then need to do the same as in Part 2 , add a rule to map the incoming identity claim to an outgoing authorization claim that allows the identity to send messages to Service Bus: Issuer: Access Control Service Input claim type: http://schemas.xmlsoap.org/ws/2005/05/identity/claims/nameidentifier Input claim value: partialTrustConsumer Output claim type: net.windows.servicebus.action Output claim value: Send As with Part 2, this sets up a service identity which can send messages into Service Bus, but cannot register itself as a listener, or manage the namespace. RESTfully exposing the on-premise service through Azure Service Bus Relay The part 3 sample code is ready to go, just put your Azure details into Solution Items\AzureConnectionDetails.xml and “Run Custom Tool” on the .tt files.  But to do it yourself is very simple. We already have a WebGet attribute in the service for locally making REST calls, so we are just going to add a new endpoint which uses the WebHttpRelayBinding to relay that service through Azure. It's as easy as adding this endpoint to Web.config for the service:         <endpoint address="https://sixeyed-ipasbr.servicebus.windows.net/rest"                   binding="webHttpRelayBinding"                    contract="Sixeyed.Ipasbr.Services.IFormatService"                   behaviorConfiguration="SharedSecret">         </endpoint> - and adding the webHttp attribute in your endpoint behavior:           <behavior name="SharedSecret">             <webHttp/>             <transportClientEndpointBehavior credentialType="SharedSecret">               <clientCredentials>                 <sharedSecret issuerName="serviceProvider"                               issuerSecret="gl0xaVmlebKKJUAnpripKhr8YnLf9Neaf6LR53N8uGs="/>               </clientCredentials>             </transportClientEndpointBehavior>           </behavior> Where's my WSDL? The metadata story for REST is a bit less automated. In our local webHttp endpoint we've enabled WCF's built-in help, so if you navigate to: http://localhost/Sixeyed.Ipasbr.Services/FormatService.svc/rest/help - you'll see the uri format for making a GET request to the service. The format is the same over Azure, so this is where you'll be connecting: https://[your-namespace].servicebus.windows.net/rest/reverse?string=abc123 Build the service with the new endpoint, open that in a browser and you'll get an XML version of an HTTP status code - a 401 with an error message stating that you haven’t provided an authorization header: <?xml version="1.0"?><Error><Code>401</Code><Detail>MissingToken: The request contains no authorization header..TrackingId:4cb53408-646b-4163-87b9-bc2b20cdfb75_5,TimeStamp:10/3/2012 8:34:07 PM</Detail></Error> By default, the setup of your Service Bus endpoint as a relying party in ACS expects a Simple Web Token to be presented with each service request, and in the browser we're not passing one, so we can't access the service. Note that this request doesn't get anywhere near your on-premise service, Service Bus only relays requests once they've got the necessary approval from ACS. Why didn't the consumer need to get ACS authorization in Part 2? It did, but it was all done behind the scenes in the NetTcpRelayBinding. By specifying our Shared Secret credentials in the consumer, the service call is preceded by a check on ACS to see that the identity provided is a) valid, and b) allowed access to our Service Bus endpoint. By making manual HTTP requests, we need to take care of that ACS check ourselves now. We do that with a simple WebClient call to the ACS endpoint of our service; passing the shared secret credentials, we will get back an SWT: var values = new System.Collections.Specialized.NameValueCollection(); values.Add("wrap_name", "partialTrustConsumer"); //service identity name values.Add("wrap_password", "suCei7AzdXY9toVH+S47C4TVyXO/UUFzu0zZiSCp64Y="); //service identity password values.Add("wrap_scope", "http://sixeyed-ipasbr.servicebus.windows.net/"); //this is the realm of the RP in ACS var acsClient = new WebClient(); var responseBytes = acsClient.UploadValues("https://sixeyed-ipasbr-sb.accesscontrol.windows.net/WRAPv0.9/", "POST", values); rawToken = System.Text.Encoding.UTF8.GetString(responseBytes); With a little manipulation, we then attach the SWT to subsequent REST calls in the authorization header; the token contains the Send claim returned from ACS, so we will be authorized to send messages into Service Bus. Running the sample Navigate to http://localhost:2028/Sixeyed.Ipasbr.WebHttpClient/Default.cshtml, enter a string and hit Go! - your string will be reversed by your on-premise service, routed through Azure: Using shared secret client credentials in this way means ACS is the identity provider for your service, and the claim which allows Send access to Service Bus is consumed by Service Bus. None of the authentication details make it through to your service, so your service is not aware who the consumer is (MSDN calls this "anonymous authentication").

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  • Implementing the procducer-consumer with .NET 4.0 new

    - by bitbonk
    With alle the new paralell programming features in .NET 4.0, what would be a a simple and fast way to implement the producer-consumer pattern (where at least one thread is producing and enqueuing task items and one other thread executes (dequeues) these tasks). Can we benfit from all these new APIs? What is your preferred implementation of this pattern?

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  • Implementing the procducer-consumer pattern with .NET 4.0

    - by bitbonk
    With alle the new paralell programming features in .NET 4.0, what would be a a simple and fast way to implement the producer-consumer pattern (where at least one thread is producing/enqueuing task items and another thread executes/dequeues these tasks). Can we benfit from all these new APIs? What is your preferred implementation of this pattern?

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  • Scala newbie vproducer/consumer attempt running out of memory

    - by Nick
    I am trying to create a producer/consumer type Scala app. The LoopControl just sends a message to the MessageReceiver continually. The MessageReceiver then delegates work to the MessageCreatorActor (whose work is to check a map for an object, and if not found create one and start it up). Each MessageActor created by this MessageCreatorActor is associated with an Id. Eventually this is where I want to do business logic. But I run out of memory after 15 minutes. Its finding the cached actors,but quickly runs out of memory. Any help is appreciated. Or any one has any good code on producers consumers doing real stuff (not just adding numbers), please post. import scala.actors.Actor import java.util.HashMap import scala.actors.Actor._ case object LoopControl case object MessageReceiver case object MessageActor case object MessageActorCreator class MessageReceiver(msg: String) extends Actor { var messageActorMap = new HashMap[String, MessageActor] val messageCreatorActor = new MessageActorCreator(null, null) def act() { messageCreatorActor.start loop { react { case MessageActor(messageId) => if (msg.length() > 0) { var messageActor = messageActorMap.get(messageId); if(messageActor == null) { messageCreatorActor ! MessageActorCreator(messageId, messageActorMap) }else { messageActor ! MessageActor } } } } } } case class MessageActorCreator(msg:String, messageActorMap: HashMap[String, MessageActor]) extends Actor { def act() { loop { react { case MessageActorCreator(messageId, messageActorMap) => if(messageId != null ) { var messageActor = new MessageActor(messageId); messageActorMap.put(messageId, messageActor) println(messageActorMap) messageActor.start messageActor ! MessageActor } } } } } class LoopControl(messageReceiver:MessageReceiver) extends Actor { var count : Int = 0; def act() { while (true) { messageReceiver ! MessageActor ("00-122-0X95-FEC0" + count) //Thread.sleep(100) count = count +1; if(count > 5) { count = 0; } } } } case class MessageActor(msg: String) extends Actor { def act() { loop { react { case MessageActor => println() println("MessageActor: Got something-> " + msg) } } } } object messages extends Application { val messageReceiver = new MessageReceiver("bootstrap") val loopControl = new LoopControl(messageReceiver) messageReceiver.start loopControl.start }

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  • Java threads, wait time always 00:00:00-Producer/Consumer

    - by user3742254
    I am currently doing a producer consumer problem with a number of threads and have had to set priorities and waits to them to ensure that one thread, the security thread, runs last. I have managed to do this and I have managed to get the buffer working. The last thing that I am required to do is to show the wait time of threads that are too large for the buffer and to calculate the average wait time. I have included code to do so, but everything I run the program, the wait time is always returned as 00:00:00, and by extension, the average is returned as the same. I was speaking to one of my colleagues who said that it is not a matter of the code but rather a matter of the computer needing to work off of one processor, which can be adjusted in the task manager settings. He has an HP like myself but his program prints the wait time 180 times, whereas mine prints usually about 3-7 times and is only 00:00:01 on one instance before finishing when I have made the processor adjustments. My other colleague has an iMac and hers puts out an average of 42:00:34(42 minutes??) I am very confused about this because I can see no difference between our codes and like my colleague said, I was wondering is it a computer issue. I am obviously concerned as I wanted to make sure that my code correctly calculated an average wait time, but that is impossible to tell when the wait times always show as 00:00:00. To calculate the thread duration, including the time it entered and exited the buffer was done by using a timestamp import, and then subtracting start time from end time. Is my code correct for this issue or is there something which is missing? I would be very grateful for any solutions. Below is my code: My buffer class package com.Com813cw; import java.text.DateFormat; import java.text.SimpleDateFormat; /** * Created by Rory on 10/08/2014. */ class Buffer { private int contents, count = 0, process = 200; private int totalRam = 1000; private boolean available = false; private long start, end, wait, request = 0; private DateFormat time = new SimpleDateFormat("ss:SSS"); public int avWaitTime =0; public void average(){ System.out.println("Average Application Request wait time: "+ time.format(request/count)); } public synchronized int get() { while (process <= 500) { try { wait(); } catch (InterruptedException e) { } } process -= 200; System.out.println("CPU After Process " + process); notifyAll(); return contents; } public synchronized void put(int value) { if (process <= 500) { process += value; } else { start = System.currentTimeMillis(); try { wait(); } catch (InterruptedException e) { } end = System.currentTimeMillis(); wait = end - start; count++; request += wait; System.out.println("Application Request Wait Time: " + time.format(wait)); process += value; contents = value; calcWait(wait, count); } notifyAll(); } public void calcWait(long wait, int count){ this.avWaitTime = (int) (wait/count); } public void printWait(){ System.out.println("Wait time is " + time.format(this.avWaitTime)); } } My spotify class package com.Com813cw; import java.sql.Timestamp; /** * Created by Rory on 11/08/2014. */ class Spotify extends Thread { private Buffer buffer; private int number; private int bytes = 250; public Spotify(Buffer c, int number) { buffer = c; this.number = number; } long startTime = System.currentTimeMillis(); public void run() { for (int i = 0; i < 20; i++) { buffer.put(bytes); System.out.println(getName() + this.number + " put: " + bytes + " bytes "); try { sleep(1000); } catch (InterruptedException e) { } } long endTime = System.currentTimeMillis(); long timeTaken = endTime - startTime; java.util.Date date = new java.util.Date(); System.out.println("-----------------------------"); System.out.println("Spotify has finished executing."); System.out.println("Time taken to execute was " + timeTaken + " milliseconds"); System.out.println("Time that Spotify thread exited Buffer was " + new Timestamp(date.getTime())); System.out.println("-----------------------------"); } } My BubbleWitch class package com.Com813cw; import java.lang.*; import java.lang.System; import java.sql.Timestamp; /** * Created by Rory on 10/08/2014. */ class BubbleWitch2 extends Thread { private Buffer buffer; private int number; private int bytes = 100; public BubbleWitch2(Buffer c, int number) { buffer = c; this.number=number ; } long startTime = System.currentTimeMillis(); public void run() { for (int i = 0; i < 10; i++) { buffer.put(bytes); System.out.println(getName() + this.number + " put: " + bytes + " bytes "); try { sleep(1000); } catch (InterruptedException e) { } } long endTime = System.currentTimeMillis(); long timeTaken = endTime - startTime; java.util.Date date = new java.util.Date(); System.out.println("-----------------------------"); System.out.println("BubbleWitch2 has finished executing."); System.out.println("Time taken to execute was " +timeTaken+ " milliseconds"); System.out.println("Time Bubblewitch2 thread exited Buffer was " + new Timestamp(date.getTime())); System.out.println("-----------------------------"); } } My Test class package com.Com813cw; /** * Created by Rory on 10/08/2014. */ public class ProducerConsumerTest { public static void main(String[] args) throws InterruptedException { Buffer c = new Buffer(); BubbleWitch2 p1 = new BubbleWitch2(c,1); Processor c1 = new Processor(c, 1); Spotify p2 = new Spotify(c, 2); SystemManagement p3 = new SystemManagement(c, 3); SecurityUpdate p4 = new SecurityUpdate(c, 4, p1, p2, p3); p1.setName("BubbleWitch2 "); p2.setName("Spotify "); p3.setName("System Management "); p4.setName("Security Update "); p1.setPriority(10); p2.setPriority(10); p3.setPriority(10); p4.setPriority(5); c1.start(); p1.start(); p2.start(); p3.start(); p4.start(); p2.join(); p3.join(); p4.join(); c.average(); System.exit(0); } } My security update package com.Com813cw; import java.lang.*; import java.lang.System; import java.sql.Timestamp; /** * Created by Rory on 11/08/2014. */ class SecurityUpdate extends Thread { private Buffer buffer; private int number; private int bytes = 150; private int process = 0; public SecurityUpdate(Buffer c, int number, BubbleWitch2 bubbleWitch2, Spotify spotify, SystemManagement systemManagement) throws InterruptedException { buffer = c; this.number = number; bubbleWitch2.join(); spotify.join(); systemManagement.join(); } long startTime = System.currentTimeMillis(); public void run() { for (int i = 0; i < 15; i++) { buffer.put(bytes); System.out.println(getName() + this.number + " put: " + bytes + " bytes"); try { sleep(1500); } catch (InterruptedException e) { } } long endTime = System.currentTimeMillis(); long timeTaken = endTime - startTime; java.util.Date date = new java.util.Date(); System.out.println("-----------------------------"); System.out.println("Security Update has finished executing."); System.out.println("Time taken to execute was " + timeTaken + " milliseconds"); System.out.println("Time that SecurityUpdate thread exited Buffer was " + new Timestamp(date.getTime())); System.out.println("------------------------------"); } } I'd be grateful as I said for any help as this is the last and most frustrating obstacle.

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  • Webshop for digital goods with voucher / gift card system [duplicate]

    - by Kelzama
    This question already has an answer here: Which Ecommerce Script Should I Use? 1 answer I'm searching for a webshop which provides the following: The shop offers digital goods (like mp3) User can buy a voucher / gift card @Reseller (Or there is a code provided in the CD) User can enter his code @ webshop and gets the download (unregistered) User can enter his code @ webshop and download is added to his/her library (registered) optional: Resellers can buy codes from the Webshop I already tried prestashop as it looks quite nice. But it needs a lot of custom programming (and has a very strange voucher-system). Customer has to add the File into the basket and add the voucher at checkout. I want to skip that ;) Is there a Webshop (Or CMS + Plugin) which provides the things I need? (it could also be a CMS with a Storage/Folder Plugin (like joomla + K2) and a possibility to activate downloads via unique Codes.) Any ideas are highly appreciated :) Thanks in advance.

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  • what's wrong with my producer-consumer queue design?

    - by toasteroven
    I'm starting with the C# code example here. I'm trying to adapt it for a couple reasons: 1) in my scenario, all tasks will be put in the queue up-front before consumers will start, and 2) I wanted to abstract the worker into a separate class instead of having raw Thread members within the WorkerQueue class. My queue doesn't seem to dispose of itself though, it just hangs, and when I break in Visual Studio it's stuck on the _th.Join() line for WorkerThread #1. Also, is there a better way to organize this? Something about exposing the WaitOne() and Join() methods seems wrong, but I couldn't think of an appropriate way to let the WorkerThread interact with the queue. Also, an aside - if I call q.Start(#) at the top of the using block, only some of the threads every kick in (e.g. threads 1, 2, and 8 process every task). Why is this? Is it a race condition of some sort, or am I doing something wrong? using System; using System.Collections.Generic; using System.Text; using System.Messaging; using System.Threading; using System.Linq; namespace QueueTest { class Program { static void Main(string[] args) { using (WorkQueue q = new WorkQueue()) { q.Finished += new Action(delegate { Console.WriteLine("All jobs finished"); }); Random r = new Random(); foreach (int i in Enumerable.Range(1, 10)) q.Enqueue(r.Next(100, 500)); Console.WriteLine("All jobs queued"); q.Start(8); } } } class WorkQueue : IDisposable { private Queue _jobs = new Queue(); private int _job_count; private EventWaitHandle _wh = new AutoResetEvent(false); private object _lock = new object(); private List _th; public event Action Finished; public WorkQueue() { } public void Start(int num_threads) { _job_count = _jobs.Count; _th = new List(num_threads); foreach (int i in Enumerable.Range(1, num_threads)) { _th.Add(new WorkerThread(i, this)); _th[_th.Count - 1].JobFinished += new Action(WorkQueue_JobFinished); } } void WorkQueue_JobFinished(int obj) { lock (_lock) { _job_count--; if (_job_count == 0 && Finished != null) Finished(); } } public void Enqueue(int job) { lock (_lock) _jobs.Enqueue(job); _wh.Set(); } public void Dispose() { Enqueue(Int32.MinValue); _th.ForEach(th = th.Join()); _wh.Close(); } public int GetNextJob() { lock (_lock) { if (_jobs.Count 0) return _jobs.Dequeue(); else return Int32.MinValue; } } public void WaitOne() { _wh.WaitOne(); } } class WorkerThread { private Thread _th; private WorkQueue _q; private int _i; public event Action JobFinished; public WorkerThread(int i, WorkQueue q) { _i = i; _q = q; _th = new Thread(DoWork); _th.Start(); } public void Join() { _th.Join(); } private void DoWork() { while (true) { int job = _q.GetNextJob(); if (job != Int32.MinValue) { Console.WriteLine("Thread {0} Got job {1}", _i, job); Thread.Sleep(job * 10); // in reality would to actual work here if (JobFinished != null) JobFinished(job); } else { Console.WriteLine("Thread {0} no job available", _i); _q.WaitOne(); } } } } }

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  • Why is my producer-consumer blocking?

    - by User007
    My code is here: http://pastebin.com/Fi3h0E0P Here is the output 0 Should we take order today (y or n): y Enter order number: 100 More customers (y or n): n Stop serving customers right now. Passing orders to cooker: There are total of 1 order(s) 1 Roger, waiter. I am processing order #100 The goal is waiter must take orders and then give them to the cook. The waiter has to wait cook finishes all pizza, deliver the pizza, and then take new orders. I asked how P-V work in my previous post here. I don't think it has anything to do with \n consuming? I tried all kinds of combination of wait(), but none work. Where did I make a mistake? The main part is here: //Producer process if(pid > 0) { while(1) { printf("0"); P(emptyShelf); // waiter as P finds no items on shelf; P(mutex); // has permission to use the shelf waiter_as_producer(); V(mutex); // cooker now can use the shelf V(orderOnShelf); // cooker now can pickup orders wait(); printf("2"); P(pizzaOnShelf); P(mutex); waiter_as_consumer(); V(mutex); V(emptyShelf); printf("3 "); } } if(pid == 0) { while(1) { printf("1"); P(orderOnShelf); // make sure there is an order on shelf P(mutex); //permission to work cooker_as_consumer(); // take order and put pizza on shelf printf("return from cooker"); V(mutex); //release permission printf("just released perm"); V(pizzaOnShelf); // pizza is now on shelf printf("after"); wait(); printf("4"); } } So I imagine this is the execution path: enter waiter_as_producer, then go to child process (cooker), then transfer the control back to parent, finish waiter_as_consumer, switch back to child. The two waits switch back to parent (like I said I tried all possible wait() combination...).

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  • WCF MSMQ consumer thread count

    - by Andy White
    What's the best way to configure the maximum number of threads that can pull messages from an MSMQ queue, using a netMsmqBinding in WCF? For example, say I have an MSMQ service for which I only want to have 2 (or 10, or whatever number of) worker threads pulling messages off at a time.

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  • Tech Ed New Orleans&ndash; The Goods

    Just returned from a fantastic Tech Ed, what a great event this year as it was sold out and jammed with lots of great sessions, hands-on-labs, and events to participate innot to mention New Orleans is lots of fun. I promised a blog post for my session, and here it is. My session was WCF 4 Made Easy with .NET Framework 4 and Windows Server AppFabric. The highlights from the talk are as follows: With WCF 4 and VS 2010 you can finally be immediately productive when you build WCF services. Just focus...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Subscription based eCommerce Site selling Physical Goods

    - by Kash
    I want to implement a system where customers can buy physical products as subscription with recurring billing. Customers will come to my site, visit product page and buy stuff. They need to register an account before purchasing. After registration they will be forwarded to payment processor for payment and after successful payment they will be returned back to my site. Requirement: I dont want to use Paypal as a payment processor. It will be recurring payment on monthly, quarterly, bi-annual or annual basis. Customers can login to my site in order to view their Order History, Profile Management and can edit their Billing and/or Shipping details. Customers can cancel their Subscription any time after login to their account on my site. Plan: Currently I am using wordpress with WooCommerce plugin for eCommerce functionality. I am planning to use Amazon as a payment processor. I have searched WooCommerce Extension Drectory and found WC Subscription extension that can be used for my site. But I just confirmed from the Support WC Subscription only support recurring payment with Paypal and Stripe, no other payment processor is supported at the moment. Questions: According to my need, what will be the best solution? I am open to switch the platform from Wordpress to something else that can fulfill my requirement.

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