We address the problem of making online, parallel query plans fault-tolerant: i.e., provide intra-query fault-tolerance without blocking. We develop an approach that not only achi...
—Computing systems will grow significantly larger in the near future to satisfy the needs of computational scientists in areas like climate modeling, biophysics and cosmology. S...
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include content analysis under uncertainty (evidence of ...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
A large class of applications require real-time processing of continuous stream data resulting in the development of data stream management systems (DSMS). Since many of these app...
Weihan Wang, Mohamed A. Sharaf, Shimin Guo, M. Tam...