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Balaji Ramamoorthy

Mickos Named CEO Of Eucalyptus Systems -- Enterprise Open Source -- InformationWeek - 0 views

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    "When I left Sun Microsystems a little over a year ago, I asked people what's bigger than open source, and they said, 'the cloud"
Vincent Heuschling

Open Source Is Key to Cloud Computing: Yahoo! SVP | Search Journal - 0 views

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    Exclusive Q&A with Shelton Shugar, SVP Cloud Computing, Yahoo! Ultimately, we believe that advancement in cloud computing technology will be driven by open source initiatives where large communities of engineers can collaborate and develop new code for the new applications and demands posed by the cloud model
Alex MIkhalev

Tectonic » Open source cluster computing on demand - 0 views

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    Need a Linux cluster for an hour or two? Powua is a new cloud computing service that uses open source software to allow users to rent up to 64 CPUs for high-demand graphics rendering or scientific applications.
Maluvia Haseltine

Eucalyptus | Your environment. Our industry leading cloud computing software. - 0 views

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    Open Source, private cloud computing platform, that allows cloud-bursting to the public cloud (AWS). Works on Linux.
Balaji Ramamoorthy

Opens Source CouchDB Heads to the Cloud - 0 views

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    SQL-based relational database management systems (RDBMS) are beginning to be challenged by a new movement of NoSQL databases. Among those NoSQL databases is the open source CouchDB
Kelly Hair

VMware: VMware vCloud Blog: Thoughts Around Service Provider's Public Cloud Platforms - 0 views

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    "aaS Providers Shifting to Commercial VMs. IaaS (infrastructure as a service) providers have focused on open source and internal technologies to deliver solutions at the lowest possible cost. But that's changing. In the past year, there's been a rapidly growing trend for IaaS providers to add support for major commercial VM formats - especially VMware, but also Hyper-V and XenServer. The reason? To create an easy on-ramp for enterprises. As enterprises virtualize (and in many cases, build private clouds), the IaaS providers know that they need to make interoperability, hybrid, overdrafting, migration as easy as possible. The question is whether that will require commercial offerings (such as VMware's vCloud Datacenter Services, or Microsoft Dynamic Datacenter Alliance), or if conversion tools will be good enough. I tend to think that service providers better make the off-premises experience as identical to the on-premises experience as possible - and I'm not sure conversion will get them there."
Rich Hintz

Gluster.org Community Website | GlusterFS is a cluster file-system capable of scaling t... - 1 views

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    open source scale-out NAS solution
Alex MIkhalev

ElasticVapor :: Life in the Cloud: Introducing The Virtual Machine Trojan - 0 views

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    Sergio Castro has released a functional, open source Virtual Machine Trojan called ViMTruder.
DJHell .

Cloud computing with Amazon Web Services, Part 5: Dataset processing in the cloud with ... - 0 views

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    Learn basic Amazon SimpleDB (SDB) concepts and explore some of the functions provided by boto, an open source Python library for interacting with SDB. In this "Cloud computing with Amazon Web Services" series, learn about cloud computing using Amazon Web Services. Explore how the services provide a compelling alternative for architecting and building scalable, reliable applications. In this article, learn some of the basic concepts and check out some of the functions provided by boto.
DJHell .

Cloud computing with Amazon Web Services, Part 4: Reliable messaging with SQS - 0 views

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    Learn basic Amazon SimpleDB (SDB) concepts and explore some of the functions provided by boto, an open source Python library for interacting with SDB. In this "Cloud computing with Amazon Web Services" series, learn about cloud computing using Amazon Web Services. Explore how the services provide a compelling alternative for architecting and building scalable, reliable applications. In this article, learn about the reliable and scalable messaging service provided by Amazon Simple Queue Service (SQS).
DJHell .

Cloud computing with Amazon Web Services, Part 3: Servers on demand with EC2 - 0 views

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    Learn basic Amazon SimpleDB (SDB) concepts and explore some of the functions provided by boto, an open source Python library for interacting with SDB. In this "Cloud computing with Amazon Web Services" series, learn about cloud computing using Amazon Web Services. Explore how the services provide a compelling alternative for architecting and building scalable, reliable applications. This article introduces you to the virtual servers provided by Amazon Elastic Compute Cloud (EC2). Learn how EC2 can help you configure your applications' computing requirements on the fly and adjust capacity based on demand.
DJHell .

Hypertable: An Open Source, High Performance, Scalable Database - 0 views

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    In a web-driven world, datasets are larger than ever before - with "web scale" becoming the term of choice to describe the ultimate size of problems.
Balaji Ramamoorthy

Rackspace Cloud 'Drizzle' into Open Source Software - ServerWatch.com - 0 views

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    "We've had issues with scaling MySQL in a multi-tenant environment like ours, so we've been looking at other database options and have been looking at Drizzle for over a year," Jonathan Bryce, co-founder of the Rackspace Cloud, told InternetNews.com.
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.
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  • 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
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