Cloud Computing

Amazon Elastic MapReduce is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data. It utilizes a hosted Hadoop framework running on the web-scale infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).

The harsh realities about trying to actually use Cloud Computing services when your upstream bandwidth is being throttled. A serious problem that needs to be addressed and remedied industry-wide.

The Fair Scheduler gives each user a configurable share of the cluster when he/she has running jobs, but assigns these resources to other users when the user is inactive.

Today we are introducing Amazon Elastic MapReduce , our new Hadoop-based processing service. I'll spend a few minutes talking about the generic MapReduce concept and then I'll dive in to the details of this exciting new service.

presentation discusses how Amazon's Web Services can help Web developers solve common but vexing problems, including scaling. The Elastic Compute Cloud (EC2) and Simple DB are discussed in detail along with the Simple Queue, Simple Storage, and Flexible Payment Services. Each discussion covers basic concepts, example APIs, and brief introductions of case studies.

Is Amazon AWS Really HIPAA Compliant Today?

Interesting article about AWS management keys and cloud security

Learned lessons from the largest player (Flickr, YouTube, Google, etc)

This document is intended to initiate a conversation that will bring together the emerging cloud computing community (both cloud users and cloud providers) around a core set of principles. We believe that these core principles are rooted in the belief that cloud computing should be as open as all other IT technologies.

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

OpenNebula is a Virtual Infrastructure Manager that orchestrates storage, network and virtualization technologies to enable the dynamic placement of multi-tier services (groups of interconnected virtual machines) on distributed infrastructures, combining both data center resources and remote cloud resources, according to allocation policies. OpenNebula provides internal and Cloud administration and user interfaces for the full management of the Cloud platform.

While the debate on the actual definition of cloud computing rages on, it seems that a whole new cloud computing vocabulary is rapidly emerging. I thougt I'd list some of the new terms I'm seeing with brief definitions, examples of usage and references to discussions related to these terms.

Scalr provides the framework for the deployment of auto-scaling and auto-healing web sites using Amazon EC2. This tutorial walks through installing and setting up Scalr for your own site.

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.

cloud computing opensource platform

cloud computing opensource platform