ReturnReturn to Article

Recommend Hot Scalability Links for January 28 2010 (Email)

This action will generate an email recommending this article to the recipient of your choice. Note that your email address and your recipient's email address are not logged by this system.

EmailEmail Article Link

The email sent will contain a link to this article, the article title, and an article excerpt (if available). For security reasons, your IP address will also be included in the sent email.

Article Excerpt:
  1. Google's Research Areas of Interest: Building scalable, robust cluster applications. At Google we see distributed systems as a technology in its infancy, with huge gaps in the supporting research  that represent some of the most important problems in the space. Here are some examples: Resource sharing, Balancing cost, performance, and reliability, Self-maintaining systems. 
  2. Amazon SimpleDB: A Simple Way to Store Complex Data by Paul Tremblett. The most effective way I have found to understand SimpleDB is to think about it in terms of something else we all use and understand -- a spreadsheet.
  3. Rackspace Cloud Servers versus Amazon EC2: Performance Analysis. The Bitsource conducted a review of the two cloud computing platforms, Rackspace Cloud Servers and Amazon Elastic Compute Cloud (EC2), to get a general idea of overall system performance.
  4. Private Clouds Are Not The Future by Jame Hamilton. Private clouds are better than nothing but an investment in a private cloud is an investment in a temporary fix that will only slow the path to the final destination: shared clouds.
  5. What is the right way to measure scale? by Daniel Abadi. So which scales better? Is using the number of nodes a better proxy than size of data? Hadoop can “scale” to 3800 nodes. So far, all we know is that Greenplum can “scale” to 96 nodes. Can it handle more nodes?


Article Link:
Your Name:
Your Email:
Recipient Email:
Message: