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» On Advantages of Grid Computing for Parallel Job Scheduling
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JPDC
2006
81views more  JPDC 2006»
13 years 6 months ago
Implications of virtualization on Grids for high energy physics applications
The simulations used in the field of high energy physics are compute intensive and exhibit a high level of data parallelism. These features make such simulations ideal candidates ...
Laura Gilbert, Jeff Tseng, Rhys Newman, Saeed Iqba...
EUROPAR
2010
Springer
13 years 7 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...
OSDI
2004
ACM
14 years 7 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
IPPS
2000
IEEE
13 years 11 months ago
Enhancing NWS for Use in an SNMP Managed Internetwork
The Network Weather Service NWS is a distributed resource monitoring and utilization prediction system, employed as an aid to scheduling jobs in a metacomputing environment 9, 1...
Robert E. Busby Jr., Mitchell L. Neilsen, Daniel A...
HPCC
2009
Springer
13 years 4 months ago
Graph-Based Task Replication for Workflow Applications
Abstract--The Grid is an heterogeneous and dynamic environment which enables distributed computation. This makes it a technology prone to failures. Some related work uses replicati...
Raúl Sirvent, Rosa M. Badia, Jesús L...