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  • cloud hosting with only root partition

    - by user123198
    We are starting a website possibly with couple of thousands hits every day and few thousands registered users. By our hosting provider we were adviced to go with cloud hosting which we can easily expand later if we need. It is Ubuntu 11 running in WM. The problem we run into is the disk is divided only in root and swap partition which is not advised from security point of view. When consulting this with technical support we got the reply that it is not possible to make more partitions and that it is mainly issue with windows server and linux is generally fine. I'm looking here for an advice if we should switch the hosting for perhaps dedicated server where we have the full control or it is something not too be worried about too much.

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  • ASP.NET MVC2 Access-Control: How to do authorization dynamically?

    - by Shaharyar
    We're currently rewriting our organizations ASP.NET MVC application which has been written twice already. (Once MVC1, once MVC2). (Thank god it wasn't production ready and too mature back then). This time, anyhow, it's going to be the real deal because we'll be implementing more and more features as time passes and the testruns with MVC1 and MVC2 showed that we're ready to upscale. Until now we were using Controller and Action authorization with AuthorizeAttribute's. But that won't do it any longer because our views are supposed to show different results based on the logged in user. Use Case: Let's say you're a major of a city and you login to a federal managed software and you can only access and edit the citizens in your city. Where you are allowed to access those citizens via an entry in a specialized MajorHasRightsForCity table containing a MajorId and a CityId. What I thought of is something like this: Public ViewResult Edit(int cityId) { if(Access.UserCanEditCity(currentUser, cityId) { var currentCity = Db.Cities.Single(c => c.id == cityId); Return View(currentCity); } else { TempData["ErrorMessage"] = "Yo are not awesome enough to edit that shizzle!" Return View(); } The static class Access would do all kinds of checks and return either true or false from it's methods. This implies that I would need to change and edit all of my controllers every time I change something. (Which would be a pain, because all unit tests would need to be adjusted every time something changes..) Is doing something like that even allowed?

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  • QT's QGraphicsview clickable icon on screen

    - by goodwince
    I'm working on a project with QT and am trying to draw icons from a database. I have auxiliary information in the table that I would like to display if the user chooses to see it (i.e. the x,y of the icon and some other options from database). I am debating on would it be better to go through and just redraw all the icons with this information added, or do some sort of looping through the icons and setting some value to true to display the information. Thanks in advance.

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  • Algorithm for autocomplete?

    - by StackUnderflow
    I am referring to the algorithm that is used to give query suggestions when a user type a search term in google. I am mainly interested in how google algorithm is able to show: 1. Most important results (most likely queries rather than anything that matches) 2. Match substrings 3. Fuzzy matches I know you could use Trie or generalized trie to find matches but it wouldn't meet the above requirements... Similar questions asked earlier here Thanks

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  • Java Program Specialization - What is it? I don't understand it..

    - by KP65
    I'm reading about program specialization - specifically java and I don't think I quite understand it to be honest. So far what I understand is that it is a method for optimizing efficiency of programs by constraining parameters or inputs? How is that actually done? Can someone maybe explain to me how it helps, and maybe an example of what it actually does and how its done? Thanks

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  • Best practices for building a simple, scalable cluster on Amazon EC2 for a Java web app

    - by Alex B
    I want to build a Java web app and deploy it on EC2. It will be written in Java and will use MySQL. I was hoping to get some pointers on the actual deployment process and configuration. In particular I'm interested in the following topics: machine images (diy vs ready made) mysql replication and backup to S3 ways of deploying and redeploying the app to EC2 without interruptions firewalls? load balancing and auto scaling cloudtools (or alternative tools)

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  • Oracle Delivers Latest Release of Oracle Enterprise Manager 12c

    - by Scott McNeil
    Richer Service Catalog for Database and Middleware as a Service; Enhanced Database and Middleware Management Help Drive Enterprise-Scale Private Cloud Adoption News Summary IT organizations are adopting private clouds as a stepping-stone to business-driven, self-service IT. Successful implementations hinge on the ability to efficiently deploy and manage cloud services at enterprise scale. Having a complete cloud management solution integrated with an enterprise-class technology stack is a fundamental requirement for IT. Oracle Enterprise Manager 12c Release 4 meets that requirement by helping businesses become more agile and responsive, while reducing cost, complexity, and risk. News Facts Oracle Enterprise Manager 12c Release 4, available today, lets organizations rapidly adopt Oracle-based, enterprise-scale private clouds. New capabilities provide advanced technology stack management, secure database administration, and enterprise service governance, enabling Oracle customers and partners to maximize database and application performance and drive innovation using self-service IT platforms. The enhancements have been driven by customers and the growing Oracle Enterprise Manager Ecosystem, comprised of more than 750 Oracle PartnerNetwork (OPN) Specialized partners. Oracle and its partners and customers have built over 140 plug-ins and connectors for Oracle Enterprise Manager. Watch the video highlights. Automation for Broader Cloud Services Oracle Enterprise Manager 12c Release 4 allows for a rapid enterprise-wide adoption of database, middleware and infrastructure services in the private cloud, driven by an enhanced API-enabled service catalog. The release features “push button” style provisioning of complete environments such as SOA and Oracle Active Data Guard, and fast data cloning that enables rapid deployment and testing of enterprise applications. Out-of-the-box capabilities to detect data and configuration vulnerabilities provide enhanced cloud service governance along with greater operational control through a flexible and extensible showback mechanism. Enhanced Database Management A new performance warehouse enables predictive database diagnostics and trend analysis and helps identify database problems before they occur. New enterprise data-governance capabilities enhance security by helping systematically discover and protect sensitive data. Step-by-step orchestration of upgrades with the ability to rollback changes enables faster adoption of Oracle Database 12c. Expanded Fusion Middleware Management A new consolidated view of Oracle Fusion Middleware 12c deployments with a guided management capability lets administrators apply best management practices to diverse middleware environments and identify performance issues quickly. A Java VM Diagnostics as a Service feature allows governed access to diagnostics data for IT workers across multiple disciplines for accelerated DevOps resolutions of defects and performance optimization. New automated provisioning for SOA lets middleware administrators perform mass SOA provisioning with ease. Superior Enterprise-Grade Management Private roles and preferred credentials have been added to Oracle Enterprise Manager to provide additional fine-grained security for organizations with complex access control requirements. A new security console provides a single point of control for managing the security of Oracle Enterprise Manager environments. Support for the latest industry standard SNMP v3 protocol, including encryption, enables more secure heterogeneous management. “Smart monitoring” adapts to observed environmental changes and adds self-management capabilities to help Oracle Enterprise Manager run at peak performance, while demanding less IT supervision. Supporting Quotes “Lawrence Livermore National Laboratory has a strong tradition of technology breakthroughs and leadership. As a member of Oracle’s Customer Advisory Board for Oracle Enterprise Manager, we have consistently provided feedback and guidance in the areas of enterprise-scale cloud, self-diagnosability, and secure administration for the product,” said Tim Frazier, CIO, NIF and Photon Sciences, Lawrence Livermore National Laboratory. “We intend to take advantage of the Release 4 features that support enterprise-scale availability and fine-grained security capabilities for private cloud deployments.” “IDC's most recent CloudTrack survey shows that most enterprises plan to adopt hybrid cloud architectures over the next three years,” said Mary Johnston Turner, Research Vice President, Enterprise System Management Software, IDC. “These organizations plan to deploy a wide range of workloads into cloud environments including mission critical database and middleware services that require high levels of fault tolerance and disaster recovery. Such capabilities were traditionally custom configured for each application but cloud offers the possibility to incorporate such properties within the service definition, enabling organizations to adopt cloud without compromise. With the latest release of Oracle Enterprise Manager 12c, Oracle is providing customers with an out-of-the-box experience for delivering highly-resilient cloud services for databases and applications.” “Since its inception, Oracle has been leading the way in innovative, scalable and high performance solutions for the enterprise. With this release of Oracle Enterprise Manager, we are extending this leadership by providing enterprise-scale capabilities for planning, delivering, and managing private clouds. We call this ‘zero-to-cloud – accelerated.’ These enhancements help our customers to expedite their adoption of cloud computing and prepares them for the next generation of self-service IT,” said Prakash Ramamurthy, senior vice president of Systems and Cloud Management at Oracle. Supporting Resources Oracle Enterprise Manager 12c Video: Cerner Delivers High Performance Private Cloud Video: BIAS Achieves Outstanding Results with Private Cloud Press Release Stay Connected: Twitter | Facebook | YouTube | Linkedin | Newsletter Download the Oracle Enterprise Manager 12c Mobile app

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  • How are you taking advantage of Multicore?

    - by tgamblin
    As someone in the world of HPC who came from the world of enterprise web development, I'm always curious to see how developers back in the "real world" are taking advantage of parallel computing. This is much more relevant now that all chips are going multicore, and it'll be even more relevant when there are thousands of cores on a chip instead of just a few. My questions are: How does this affect your software roadmap? I'm particularly interested in real stories about how multicore is affecting different software domains, so specify what kind of development you do in your answer (e.g. server side, client-side apps, scientific computing, etc). What are you doing with your existing code to take advantage of multicore machines, and what challenges have you faced? Are you using OpenMP, Erlang, Haskell, CUDA, TBB, UPC or something else? What do you plan to do as concurrency levels continue to increase, and how will you deal with hundreds or thousands of cores? If your domain doesn't easily benefit from parallel computation, then explaining why is interesting, too. Finally, I've framed this as a multicore question, but feel free to talk about other types of parallel computing. If you're porting part of your app to use MapReduce, or if MPI on large clusters is the paradigm for you, then definitely mention that, too. Update: If you do answer #5, mention whether you think things will change if there get to be more cores (100, 1000, etc) than you can feed with available memory bandwidth (seeing as how bandwidth is getting smaller and smaller per core). Can you still use the remaining cores for your application?

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  • .Net concurrency performance on client side

    - by Yaron Naveh
    I am writing a client side .Net application which is expected to use a lot of threads. I was warned that .Net performance is very bad when it comes to concurrency. While I am not writing a real-time application, I want to make sure my application is scalable (i.e. allows many threads) and somehow comparable to an equivalent cpp application. Anyone can share his experience? Anyone can refer me to a relevant benchmark?

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  • Implications of using many USB web cameras

    - by Martin
    I'm looking into connecting multiple low resolution USB webcams to a single computer. What implications might this have on performance? How does, for example, four 320x240 cameras fare against a single 640x480 camera? I'm not well versed in the architecture of the USB interface, what are the performance caveats? By performance I mean how would it affect the time to read the image data from multiple cameras compared to a single one.

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  • NServiceBus pipeline with Distributors

    - by David
    I'm building a processing pipeline with NServiceBus but I'm having trouble with the configuration of the distributors in order to make each step in the process scalable. Here's some info: The pipeline will have a master process that says "OK, time to start" for a WorkItem, which will then start a process like a flowchart. Each step in the flowchart may be computationally expensive, so I want the ability to scale out each step. This tells me that each step needs a Distributor. I want to be able to hook additional activities onto events later. This tells me I need to Publish() messages when it is done, not Send() them. A process may need to branch based on a condition. This tells me that a process must be able to publish more than one type of message. A process may need to join forks. I imagine I should use Sagas for this. Hopefully these assumptions are good otherwise I'm in more trouble than I thought. For the sake of simplicity, let's forget about forking or joining and consider a simple pipeline, with Step A followed by Step B, and ending with Step C. Each step gets its own distributor and can have many nodes processing messages. NodeA workers contain a IHandleMessages processor, and publish EventA NodeB workers contain a IHandleMessages processor, and publish Event B NodeC workers contain a IHandleMessages processor, and then the pipeline is complete. Here are the relevant parts of the config files, where # denotes the number of the worker, (i.e. there are input queues NodeA.1 and NodeA.2): NodeA: <MsmqTransportConfig InputQueue="NodeA.#" ErrorQueue="error" NumberOfWorkerThreads="1" MaxRetries="5" /> <UnicastBusConfig DistributorControlAddress="NodeA.Distrib.Control" DistributorDataAddress="NodeA.Distrib.Data" > <MessageEndpointMappings> </MessageEndpointMappings> </UnicastBusConfig> NodeB: <MsmqTransportConfig InputQueue="NodeB.#" ErrorQueue="error" NumberOfWorkerThreads="1" MaxRetries="5" /> <UnicastBusConfig DistributorControlAddress="NodeB.Distrib.Control" DistributorDataAddress="NodeB.Distrib.Data" > <MessageEndpointMappings> <add Messages="Messages.EventA, Messages" Endpoint="NodeA.Distrib.Data" /> </MessageEndpointMappings> </UnicastBusConfig> NodeC: <MsmqTransportConfig InputQueue="NodeC.#" ErrorQueue="error" NumberOfWorkerThreads="1" MaxRetries="5" /> <UnicastBusConfig DistributorControlAddress="NodeC.Distrib.Control" DistributorDataAddress="NodeC.Distrib.Data" > <MessageEndpointMappings> <add Messages="Messages.EventB, Messages" Endpoint="NodeB.Distrib.Data" /> </MessageEndpointMappings> </UnicastBusConfig> And here are the relevant parts of the distributor configs: Distributor A: <add key="DataInputQueue" value="NodeA.Distrib.Data"/> <add key="ControlInputQueue" value="NodeA.Distrib.Control"/> <add key="StorageQueue" value="NodeA.Distrib.Storage"/> Distributor B: <add key="DataInputQueue" value="NodeB.Distrib.Data"/> <add key="ControlInputQueue" value="NodeB.Distrib.Control"/> <add key="StorageQueue" value="NodeB.Distrib.Storage"/> Distributor C: <add key="DataInputQueue" value="NodeC.Distrib.Data"/> <add key="ControlInputQueue" value="NodeC.Distrib.Control"/> <add key="StorageQueue" value="NodeC.Distrib.Storage"/> I'm testing using 2 instances of each node, and the problem seems to come up in the middle at Node B. There are basically 2 things that might happen: Both instances of Node B report that it is subscribing to EventA, and also that NodeC.Distrib.Data@MYCOMPUTER is subscribing to the EventB that Node B publishes. In this case, everything works great. Both instances of Node B report that it is subscribing to EventA, however, one worker says NodeC.Distrib.Data@MYCOMPUTER is subscribing TWICE, while the other worker does not mention it. In the second case, which seem to be controlled only by the way the distributor routes the subscription messages, if the "overachiever" node processes an EventA, all is well. If the "underachiever" processes EventA, then the publish of EventB has no subscribers and the workflow dies. So, my questions: Is this kind of setup possible? Is the configuration correct? It's hard to find any examples of configuration with distributors beyond a simple one-level publisher/2-worker setup. Would it make more sense to have one central broker process that does all the non-computationally-intensive traffic cop operations, and only sends messages to processes behind distributors when the task is long-running and must be load balanced? Then the load-balanced nodes could simply reply back to the central broker, which seems easier. On the other hand, that seems at odds with the decentralization that is NServiceBus's strength. And if this is the answer, and the long running process's done event is a reply, how do you keep the Publish that enables later extensibility on published events?

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  • fast retrieval from MYSQL DB

    - by trojanwarrior3000
    I have a table of users - It contains around millions of rows (user-id is the primary key). I just want to retrieve user-id and their joining date. using "select user-id,joining date from table user" requires lot of time.Is there a fast way to query/retrieve the same data from this table?

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  • Delphi : Sorted List

    - by Sethu
    I need to sort close to a 1,00,000 floating point entries in delphi. I am new to delphi and would like to know if there are any readymade solutions available. I tried a few language provided constructs and they take an inordinate amount of time to run to completion.(a 5-10 sec execution time is fine for the application)

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  • How do you deal with denormalization / secondary indexes in database sharding?

    - by Continuation
    Say I have a "message" table with 2 secondary indexes: "recipient_id" "sender_id" I want to shard the "message" table by "recipient_id". That way to retrieve all messages sent to a certain recipient I only need to query one shard. But at the same time, I want to be able to make a query that ask for all messages sent by a certain sender. Now I don't want to send that query to every single shard of the "message" table. One way to do this is to duplicate the data and have a "message_by_sender" table sharded by "sender_id". The problem with that approach is that every time a message has been sent, I need to insert the message into both "message" and "message_by_sender" tables. But what if after inserting into "message" the insertion into "message_by_sender" fail? In that case the message exists in "message" but not in "message_by_sender". How do I make sure that if a message exists in "message" then it also exists in "message_by_sender" without resorting to 2 phase commit? This must be a very common issue for anyone who shards their databases. How do you deal woth it?

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  • Practical approach to concurrency control

    - by Industrial
    Hi everyone, I'd read this article recently and are very interested on how to make a practical approach to Concurrency control on a web server. The server will run CentOS + PHP + mySQL with Memcached. How would you set it up to work? http://saasinterrupted.com/2010/02/05/high-availability-principle-concurrency-control/ Thanks!

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  • Design Decision - Scaling out web based application's architecture

    - by Vadi
    This question is about design decision. I am currently working on a web project that will have 40K users to start with and in couple of month expected to grow 50M users (not concurrent users though). I would like to have a architecture that can be scaled out easily without much effort. In order to explain, I would like to use a trivial scenario. Lets say, User entities and services such as CreateUser, AuthenticateUser etc., are a simple method calls for the Page Controllers. But once the traffic increases, for example, authenticating user (or such services related to user entities) has to be moved out to a different internal server to spread the load. But at the same time using RPC calls over the network when the user count is 40K would become overkill. My proposal was to use IPC initially and when we need to scale out we can interally switch to TCP based RPC calls so that it can easily scale out. For example, I am referring to System.IO.Pipes.NamedPipeStreamServer to start with and move on to a TcpListener later on. If we have proper design that can encapsulate above said approach, it would easy for us to scale out services into multiple network servers but at the same time avoid network calls when the user count is small. Is this is a best approach? Any suggestions would be great .. Note: The database scaling is definetly the second phase optimization so we have already made architectural design in place to easily partition data when traffic increases. The primary bottleneck would be application servers over the time period.

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  • Fast data retrieval in MySQL

    - by trojanwarrior3000
    I have a table of users - It contains around millions of rows (user-id is the primary key). I just want to retrieve user-id and their joining date. Using SELECT user-id, joining-date FROM users requires lot of time. Is there a fast way to query/retrieve the same data from this table?

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  • What should be the considerations for choosing SQL/NoSQL?

    - by Yuval A
    Target application is a medium-sized website built to support several hundred-thousand users an hour, with an option to scale above that. Data model is rather simple, and caching potential is pretty high (~10:1 ratio of read to edit actions). What should be the considerations when coming to choose between a relational, SQL-based datastore to a NoSQL option (such as HBase and Cassandra)?

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  • What is optimal hardware configuration for heavy load LAMP application

    - by Piotr Kochanski
    I need to run Linux-Apache-PHP-MySQL application (Moodle e-learning platform) for a large number of concurrent users - I am aiming 5000 users. By concurrent I mean that 5000 people should be able to work with the application at the same time. "Work" means not only do database reads but writes as well. The application is not very typical, since it is doing a lot of inserts/updates on the database, so caching techniques are not helping to much. We are using InnoDB storage engine. In addition application is not written with performance in mind. For instance one Apache thread usually occupies about 30-50 MB of RAM. I would be greatful for information what hardware is needed to build scalable configuration that is able to handle this kind of load. We are using right now two HP DLG 380 with two 4 core processors which are able to handle much lower load (typically 300-500 concurrent users). Is it reasonable to invest in this kind of boxes and build cluster using them or is it better to go with some more high-end hardware? I am particularly curious how many and how powerful servers are needed (number of processors/cores, size of RAM) what network equipment should be used (what kind of switches, network cards) any other hardware, like particular disc storage solutions, etc, that are needed Another thing is how to put together everything, that is what is the most optimal architecture. Clustering with MySQL is rather hard (people are complaining about MySQL Cluster, even here on Stackoverflow).

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  • Application Server or Lightweight Container?

    - by Jeff Storey
    Let me preface this by saying this is not an actual situation of mine but I'm asking this question more for my own knowledge and to get other people's inputs here. I've used both Spring and EJB3/JBoss, and for the smaller types of applications I've built, Spring (+Tomcat when needed) has been much simpler to use. However, when scaling up to larger applications that require things like load balancing and clustering, is Spring still a viable solution? Or is it time to turn to a solution like EJB3/JBoss when you start to get big enough to need that? I'm not sure if I've scoped the problem well enough to get a good answer, so please let me know. Thanks, Jeff

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  • How to estimate tomcat server requirements?

    - by Daniil
    We have a brand new webapp written that runs on Tomcat. So far, only one client is using it through the day. They run about 180 unique logins a day. Not really a lot IMO. Now, we managed to sell it to a brand new client who likes and wants to roll it out to 50,000 clients. How many of them will login at the same time - no idea. But I need to do the whole thing - allocate, create, config and maintain. OK - last is simple(errrr). The application runs off of Tomcat 5.5 on Gentoo (I'm thinking to upgrade to Tomcat 6) with MSSQL & mySQL behind. I do realize that a more enterprise ready application would be a better fit, but that's not an option at the moment. Since I've never done this before, I'm a bit lost. Can someone advice on how to go about estimating the equipment requirements for this client? Tomcat does have clustering, so that I can do. MS SQL - I'm sure they have something too. I'm thinking to stick it behind LVS (which we do use at the moment for something else too). Any help from people who deal with these details is greatly appreciated!

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  • JavaEE Application Server or Lightweight Container?

    - by Jeff Storey
    Let me preface this by saying this is not an actual situation of mine but I'm asking this question more for my own knowledge and to get other people's inputs here. I've used both Spring and EJB3/JBoss, and for the smaller types of applications I've built, Spring (+Tomcat when needed) has been much simpler to use. However, when scaling up to larger applications that require things like load balancing and clustering, is Spring still a viable solution? Or is it time to turn to a solution like EJB3/JBoss when you start to get big enough to need that? I'm not sure if I've scoped the problem well enough to get a good answer, so please let me know. Thanks, Jeff

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