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digitalhydcsg

ISS Expo Adds Game Show Learning Track to Self Storage Education Program - 0 views

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    Attendees of the concurrent education program at the Inside Self-Storage World Expo in Las Vegas on April 1 will have the opportunity to participate in a three-session Game-Show Learning Track inspired by the classic TV programs "Family Feud," "Hollywood Squares" and "1 vs. 100."
louis garcia

Browse and get the latest tech news about Dallas Cloud Programming - 1 views

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    Hire us to know more about what are cloud services and implementation in your business through dallas cloud programming services
Rich Hintz

Software as a Service sandbox - 1 views

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    Use the IBM Virtual Loaner Program to help you set up an IBM development environment from a remote location and save valuable development time. Start with our new pre-configured SaaS stack featuring WebSphere Application Server Community Edition and DB2 Express C running on Linux, and use the features and support of the Virtual Loaner Program, including the save and restore capability that allows you to continue testing at a later time.
Rich Hintz

InfoQ: Being Elastic - Evolving Programming for the Cloud - 1 views

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    workload partitioning, cost and resource metering, automation readiness, and deployment strategies.
John Li

Learn about could computing | Eucalyptus Community - 0 views

shared by John Li on 30 Aug 10 - Cached
    • John Li
       
      like eucalyptus for the cloud computing
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    What is cloud computing? Cloud computing is the access to computers and their functionality via the Internet or a local area network. Users of a cloud request this access from a set of web services that manage a pool of computing resources (i.e., machines, network, storage, operating systems, application development environments, application programs). When granted, a fraction of the resources in the pool is dedicated to the requesting user until he or she releases them. It is called "cloud computing" because the user cannot actually see or specify the physical location and organization of the equipment hosting the resources they are ultimately allowed to use. That is, the resources are drawn from a "cloud" of resources when they are granted to a user and returned to the cloud when they are released. A "cloud" is a set of machines and web services that implement cloud computing.
Rich Hintz

Dr. Dobb's | Q&A: Parallel Programming | February 21, 2009 - 0 views

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    Parallelism and performance go hand-in-hand. But achieving maximum performance can be a balancing act, as Intel senior engineer James Reinders explains to Dr. Dobb's editor in chief Jonathan Erickson.
DJHell .

OpenSocial in the Cloud - OpenSocial - 0 views

  • Apps can grow especially fast on social networks, so before you launch your next social app, you should think about how to scale up quickly if your app takes off.
  • Unfortunately, scaling is a complex problem that's hard to solve quickly and expensive to implement.
  • If this app grows to serve millions of users and photos, shared hosting or even a dedicated server won't have the bandwidth or CPU cycles to handle all of the requests. We could invest in more servers and network infrastructure, shard the database, and load-balance requests, but that takes time, money, and expertise. If you'd rather work on the new features of the app, it's time to move into the cloud.
  • ...9 more annotations...
  • It's important to focus on the interactions between the app and your server when designing an application that will run in the cloud. If we standardize the communication protocol and data format, we can easily change the server side implementation without modifying the OpenSocial app.
  • You can configure the makeRequest method to digitally sign the requests your app makes to your server using OAuth's algorithm for parameter signing. This means that when your server receives a request, it can verify that the request came from your application hosted in a specific container. To implement this, the calls to makeRequest in the OpenSocial app spec XML specify that the request should be signed, and the code that handles requests on the server side verifies that a signature is included and valid
  • When our server receives a request, we can verify that it came from our application by checking that the digital signature was signed by a valid container and that the application ID is correct.
  • Since our server isn't storing any relationship data, the app will need to send us a list of user IDs so we can fetch the appropriate photos.
  • Although it's outside the scope of this article, we could provide a mechanism for our OpenSocial app to request a one-time-use token that it would include in the request to upload a photo.
  • Note that the post data is URL-encoded in the request so the post method uses urllib.unquote before splitting the comma-separated list of person IDs.
  • Since the server doesn't store any relationship data, the PhotosHandler class checks the post data of the request for a list of IDs from the container.
  • A common misconception when coding in the cloud is that storage space, CPU cycles, and bandwidth are unlimited. While the cloud hosting provider can, in theory, provide all the resources your app needs, hosting in the cloud ain't free so these resources are limited by your budget. Luckily, OpenSocial provides several mechanisms to cache images and data that will reduce the load on your server.
  • In addition to reducing traffic to our server, this technique has the added benefit of being fast—requesting data from the Persistence API is much faster than making the round trip to your server.
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    Some OpenSocial apps can be written entirely with client-side JavaScript and HTML, leveraging the container to serve the page and store application data. In this case, the app can scale effortlessly because the only request hitting your server is for the gadget specification which is typically cached by the container anyway. However, there are lots of reasons to consider using your own server: * Allows you to write code in the programing language of your choice. * Puts you in control of how much application data you can store. * Lets you combine data from users on multiple social networks. * Enables interaction with the OpenSocial REST API. Setting up an OpenSocial app that uses a third party server is fairly simple. There are a few gotchas and caveats, but the real issues come up when your app becomes successful - serving millions of users and sending thousands of requests per second. Apps can grow especially fast on social networks, so before you launch your next social app, you should think about how to scale up quickly if your app takes off. Unfortunately, scaling is a complex problem that's hard to solve quickly and expensive to implement. Luckily, there are several companies that provide cloud computing resources-places you can store data or run processes on virtual machines. These computing solutions manage huge infrastructures so you can focus on your applications and let the "cloud" handle all the requests and data at scale. This tutorial focuses on a simple photo-sharing app that uses a third-party server to host photos and associated metadata. If this app is going to host millions of images and support many requests per second, we won't be able to run it on a single dedicated host. We'll break the app down and analyze the interactions between the OpenSocial App and the back end server. Then we'll implement the app in the cloud, first using Google App Engine, then leveraging Amazon's S3 data storage service. Finally, we'll look at s
Maluvia Haseltine

Sourcefire Virtualization and Cloud Computing | Apache Developer's Journal - 0 views

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    Sourcefire Cybersecurity announced its Virtual 3D Partner Program, providing cloud computing companies and OEMs the ability to leverage the new Sourcefire Virtual 3D Sensor and Sourcefire Virtual Defense Center to efficiently and effectively increase customer protection.
Rich Hintz

Aptana - 0 views

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    integrated hosting services
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