I want to show that the notion of scalability is every bit as valid when applied to programming languages as it is when applied to programs or algorithms. I'll also discuss several well-known and not so well-known programming languages from this perspective and give some concrete recommendations, as well as discuss some of the social factors which hinder progress in this field.
Red Hat on Wednesday announced a significant departure from its current business plan, saying its flagship Linux product will be available on Amazon.com's Elastic Computing Cloud online service.
Google Maps, Yahoo! Mail, Facebook, MySpace, YouTube, and Amazon are examples of Web sites built to scale. They access petabytes of data sending terabits per second to millions of users worldwide. The magnitude is awe-inspiring. Users view these large-scale Web sites from a narrower perspective. The typical user has megabytes of data that are downloaded at a few hundred kilobits per second. Users are not so interested in the massive number of requests per second being served; they care more about their individual requests. As they use these Web applications, they inevitably ask the same question: "Why is this site so slow?" The answer hinges on where development teams focus their performance improvements. Performance for the sake of scalability is rightly focused on the back end. Database tuning, replicating architectures, customized data caching, and so on allow Web servers to handle a greater number of requests.
James Hamilton has published a thorough summary of Facebook's Cassandra, another scalable key-value store for your perusal. It's open source and is described as a "BigTable data model running on a Dynamo-like infrastructure." Cassandra is used in Facebook as an email search system containing 25TB and over 100m mailboxes. # Google Code for Cassandra - A Structured Storage System on a P2P Network # SIGMOD 2008 Presentation. # Video Presentation at Facebook # Facebook Engineering Blog for Cassandra # Anti-RDBMS: A list of distributed key-value stores # Facebook Cassandra Architecture and Design by James Hamilton
H. Wang, K. Zhang, Q. Liu, D. Tran, and Y. Yu. Proceedings of the 5th European Semantic Web Conference, Berlin, Heidelberg, Springer Verlag, (June 2008)
G. Folino, C. Pizzuti, and G. Spezzano. Proceedings of the 13th International Conference on
Tools with Artificial Intelligence, page 129--135. Dallas, TX USA, IEEE, (7-9 November 2001)
R. Cole, P. Eklund, and B. Groh. International Symposium on Knowledge Retrieval, Use, and Storage for Efficiency, KRUSE-97, page 151-164. (1997)Later revised and published completely in Cole's Computational Intelligence paper.
Y. Hayduk, A. Sobe, and P. Felber. Distributed Applications and Interoperable Systems, volume 9038 of Lecture Notes in Computer Science, Springer, (2015)