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  • More Sessions At Central Coast Code Camp, Ruby/Cloud Computing

      Should Your Application Run In The Cloud Im back and sitting in Steve Evans Session, Should Your Application Run In The Cloud.  Hes now explaining how computers, since the stone age,... This site is a resource for asp.net web programming. It has examples by Peter Kellner of techniques for high performance programming...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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  • I.T. Chargeback : Core to Cloud Computing

    - by Anand Akela
    Contributed by Mark McGill Consolidation and Virtualization have been widely adopted over the years to help deliver benefits such as increased server utilization, greater agility and lower cost to the I.T. organization. These are key enablers of cloud, but in themselves they do not provide a complete cloud solution. Building a true enterprise private cloud involves moving from an admin driven world, where the I.T. department is ultimately responsible for the provisioning of servers, databases, middleware and applications, to a world where the consumers of I.T. resources can provision their infrastructure, platforms and even complete application stacks on demand. Switching from an admin-driven provisioning model to a user-driven model creates some challenges. How do you ensure that users provisioning resources will not provision more than they need? How do you encourage users to return resources when they have finished with them so that others can use them? While chargeback has existed as a concept for many years (especially in mainframe environments), it is the move to this self-service model that has created a need for a new breed of chargeback applications for cloud. Enabling self-service without some form of chargeback is like opening a shop where all of the goods are free. A successful chargeback solution will be able to allocate the costs of shared I.T. infrastructure based on the relative consumption by the users. Doing this creates transparency between the I.T. department and the consumers of I.T. When users are able to understand how their consumption translates to cost they are much more likely to be prudent when it comes to their use of I.T. resources. This also gives them control of their I.T. costs, as moderate usage will translate to a lower charge at the end of the month. Implementing Chargeback successfully create a win-win situation for I.T. and the consumers. Chargeback can help to ensure that I.T. resources are used for activities that deliver business value. It also improves the overall utilization of I.T. infrastructure as I.T. resources that are not needed are not left running idle. Enterprise Manager 12c provides an integrated metering and chargeback solution for Enterprise Manager Targets. This solution is built on top of the rich configuration and utilization information already available in Enterprise Manager. It provides metering not just for virtual machines, but also for physical hosts, databases and middleware. Enterprise Manager 12c provides metering based on the utilization and configuration of the following types of Enterprise Manager Target: Oracle VM Host Oracle Database Oracle WebLogic Server Using Enterprise Manager Chargeback, administrators are able to create a set of Charge Plans that are used to attach prices to the various metered resources. These plans can contain fixed costs (eg. $10/month/database), configuration based costs (eg. $10/month if OS is Windows) and utilization based costs (eg. $0.05/GB of Memory/hour) The self-service user provisioning these resources is then able to view a report that details their usage and helps them understand how this usage translates into cost. Armed with this information, the user is able to determine if the resources are delivering adequate business value based on what is being charged. Figure 1: Chargeback in Self-Service Portal Enterprise Manager 12c provides a variety of additional interfaces into this data. The administrator can access summary and trending reports. Summary reports allow the administrator to drill-down through the cost center hierarchy to identify, for example, the top resource consumers across the organization. Figure 2: Charge Summary Report Trending reports can be used for I.T. planning and budgeting as they show utilization and charge trends over a period of time. Figure 3: CPU Trend Report We also provide chargeback reports through BI Publisher. This provides a way for users who do not have an Enterprise Manager login (such as Line of Business managers) to view charge and usage information. For situations where a bill needs to be produced, chargeback can be integrated with billing applications such as Oracle Billing and Revenue Management (BRM). Further information on Enterprise Manager 12c’s integrated metering and chargeback: White Paper Screenwatch Cloud Management on OTN

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  • Oracle auf der CeBIT 2011 in Hannover

    - by franziska.schneider(at)oracle.com
    Cloud Computing als Organisationsstrategie in heterogenen Umgebungen 02.03.2011, 15:40 - 16:00 Halle 4, Stand A 58 Veranstalter: BITKOM Veranstaltungsreihe: Cloud Computing World Referent: Helene Lengler, Vice President, ORACLE Deutschland B.V. & Co. KG   Weiterhin können Sie viele Oracle Partner auf der CeBIT treffen. Schreiben Sie uns einfach mit Ihrem Themenwunsch an und wir organisieren einen Termin.

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  • Pay in the future should make you think in the present

    - by BuckWoody
    Distributed Computing - and more importantly “-as-a-Service” models of computing have a different cost model. This is something that sounds obvious on the surface but it’s often forgotten during the design and coding phase of a project. In on-premises computing, we’re used to purchasing a server and all of the hardware infrastructure and software licenses needed not only for one project, but several. This is an up-front or “sunk” cost that we consume by running code the organization needs to perform its function. Using a direct connection over wires you’ve already paid for, we don’t often have to think about bandwidth, hits on the data store or the amount of compute we use - we just know more is better. In a pay-as-you-go model, however, each of these architecture decisions has a potential cost impact. The amount of data you store, the number of times you access it, and the amount you send back all come with a charge. The offset is that you don’t buy anything at all up-front, so that sunk cost is freed up. And financial professionals know that money now is worth more than money later. Saving that up-front cost allows you to invest it in other things. It’s not just that you’re using things that now cost money - it’s that the design itself in distributed computing has a cost impact. That can be a really good thing, such as when you dynamically add capacity for paying customers. If you can tie back the cost of a series of clicks to what a user will pay to do so, you can set a profit margin that is easy to track. Here’s a case in point: Assume you are using a large instance in Windows Azure to compute some data that you retrieve from a SQL Azure database. If you don’t monitor the path of the application, you may not know what you are really using. Since you’re paying by the size of the instance, it’s best to maximize it all the time. Recently I evaluated just this situation, and found that downsizing the instance and adding another one where needed, adding a caching function to the application, moving part of the data into Windows Azure tables not only increased the speed of the application, but reduced the cost and more closely tied the cost to the profit. The key is this: from the very outset - the design - make sure you include metrics to measure for the cost/performance (sometimes these are the same) for your application. Windows Azure opens up awesome new ways of doing things, so make sure you study distributed systems architecture before you try and force in the application design you have on premises into your new application structure.

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  • What Parallel computing APIs make good use of sockets?

    - by Ole Jak
    My program uses sockets, what Parallel computing APIs could I use that would help me without obligating me to go from sockets to anything else? When we are on a cluster with a special, non-socket infrastructure system this API would emulate something like sockets but using that infrastructure (so programs perform much faster than on sockets, but still use the sockets API).

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