A Second Conversation with Werner Vogels – Communications of the ACM
CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up When I joined Amazon in 1998, the company had a single U.S.-based website selling only books and running a monolithic C application on five servers, a handful of Berkeley DBs for key/va
Stonebraker on NoSQL and Enterprises – Communications of the ACM
The Communications Web site, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications, we'll publish selected posts or excerpts. twitter Follow us on Twitter at http://twitter.com/blogCACM http://cacm.acm.org/blogs/blog-cacm Michael Stonebraker discusses several reasons why NoSQL has not caught on with enterprise users. http://cacm.acm.or
GFS: Evolution on Fast-Forward – Communications of the ACM
CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up Google's Sean Quinlan on stage at Velocity 2008. During the early stages of development at Google, the initial thinking did not include plans for building a new file system. While work
Memory Models: A Case For Rethinking Parallel Languages and Hardware – Communications of the ACM
CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up Most parallel programs today are written using threads and shared variables. Although there is no consensus on parallel programming models, there are a number of reasons why threads rem
MapReduce and Parallel DBMSs: Friends or Foes? – Communications of the ACM
MapReduce complements DBMSs since databases are not designed for extract-transform-load tasks, a MapReduce specialty. The MapReduce7 (MR) paradigm has been hailed as a revolutionary new platform for large-scale, massively parallel data access.16 Some proponents claim the extreme scalability of MR will relegate relational database management systems (DBMS) to the status of legacy technology. At lea
MapReduce: A Flexible Data Processing Tool – Communications of the ACM
MapReduce advantages over parallel databases include storage-system independence and fine-grain fault tolerance for large jobs. Mapreduce is a programming model for processing and generating large data sets.4 Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs and a reduce function that merges all intermediate values associated with the sa
Erlang for Concurrent Programming | March 2009 | Communications of the ACM
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Online Voting Still Security Pipedream – Communications of the ACM
Open Access and ACM – Communications of the ACM
It’s Not the Algorithm, It’s the Data – Communications of the ACM
Algorithmic Trading Review – Communications of the ACM
Exciting ‘Big Data’ Medical Applications – Communications of the ACM
Data Mining Meets City Hall – Communications of the ACM
Computing Without Processors – Communications of the ACM
A New Benchmark For Artificial Intelligence – Communications of the ACM
Biology-Inspired Networking – Communications of the ACM
Theory and Applications of b-Bit Minwise Hashing – Communications of the ACM
Embracing Noise or Why Computer Scientists Should Stop Worrying and Learn to Love the Errors – Communications of the ACM