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IPPS
2010
IEEE
13 years 7 months ago
Supporting fault tolerance in a data-intensive computing middleware
Over the last 2-3 years, the importance of data-intensive computing has increasingly been recognized, closely coupled with the emergence and popularity of map-reduce for developin...
Tekin Bicer, Wei Jiang, Gagan Agrawal
ICDCS
1997
IEEE
14 years 1 months ago
Group Communication Support for Distributed Multimedia and CSCW Systems
The Collaborative Computing Transport Layer (CCTL) is a communication substrate consisting of a suite of multiparty protocols, providing varying service qualities among process gr...
Injong Rhee, Shun Yan Cheung, Phillip W. Hutto, Va...
HIPC
2009
Springer
13 years 7 months ago
Supporting load balancing for distributed data-intensive applications
In data-intensive computing, an important problem that has received relatively little attention is of transparent processing of data stored in remote data repositories. Interesting...
Leonid Glimcher, Vignesh T. Ravi, Gagan Agrawal
ICFP
2005
ACM
14 years 9 months ago
Acute: high-level programming language design for distributed computation
Existing languages provide good support for typeful programming of standalone programs. In a distributed system, however, there may be interaction between multiple instances of ma...
Peter Sewell, James J. Leifer, Keith Wansbrough, F...
CLOUD
2010
ACM
14 years 2 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...