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....
Applications and services in ubiquitous computing systems often interact in a context-dependent, reactive manner. How information flows, and what services communicate when, is det...
Jong Hee Kang, Matthai Philipose, Gaetano Borriell...
In this demonstration we present the Brown Dwarf, a distributed system designed to efficiently store, query and update multidimensional data. Deployed on any number of commodity ...
Typical approaches for querying structured Web Data collect (crawl) and pre-process (index) large amounts of data in a central data repository before allowing for query answering....
Andreas Harth, Katja Hose, Marcel Karnstedt, Axel ...
Distributed and parallel computing environments are becoming cheap and commonplace. The availability of large numbers of CPU's makes it possible to process more data at highe...