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» On Advantages of Grid Computing for Parallel Job Scheduling
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JPDC
2006
81views more  JPDC 2006»
15 years 4 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
15 years 5 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
16 years 4 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
15 years 8 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
15 years 1 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...