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CCGRID
2010
IEEE
13 years 5 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
GCC
2005
Springer
14 years 1 months ago
Incorporating Data Movement into Grid Task Scheduling
Task Scheduling is a critical design issue of distributed computing. The emerging Grid computing infrastructure consists of heterogeneous resources in widely distributed autonomous...
Xiaoshan He, Xian-He Sun
EUROPAR
2010
Springer
13 years 8 months ago
Hierarchical Work-Stealing
Abstract. We study the problem of dynamic load-balancing on hierarchical platforms. In particular, we consider applications involving heavy communications on a distributed platform...
Jean-Noël Quintin, Frédéric Wag...
ICC
2009
IEEE
195views Communications» more  ICC 2009»
14 years 2 months ago
Fairness-Aware Joint Routing and Scheduling in OFDMA-Based Cellular Fixed Relay Networks
Abstract— Relaying and orthogonal frequency division multiple access (OFDMA) are the accepted technologies for emerging wireless communications standards. The activities in many ...
Mohamed Salem, Abdulkareem Adinoyi, Mahmudur Rahma...
HPDC
2002
IEEE
14 years 20 days ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster