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» On Advantages of Grid Computing for Parallel Job Scheduling
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EUROPAR
2007
Springer
14 years 23 days ago
Increasing Parallelism for Workflows in the Grid
Workflow applications executed in Grid environments are not able to take advantage of all the potential parallelism they might have. This limitation in the usage of parallelism com...
Jonathan Martí, Jesus Malo, Toni Cortes
SC
2009
ACM
14 years 3 months ago
Kestrel: an XMPP-based framework for many task computing applications
This paper presents a new distributed computing framework for Many Task Computing (MTC) applications, based on the Extensible Messaging and Presence Protocol (XMPP). A lightweight...
Lance Stout, Michael A. Murphy, Sebastien Goasguen
CCGRID
2006
IEEE
14 years 2 months ago
Learning-Based Negotiation Strategies for Grid Scheduling
One of the key requirement for Grid infrastructures is the ability to share resources with nontrivial qualities of service. However, resource management in a decentralized infrast...
Jiadao Li, Ramin Yahyapour
JSSPP
1997
Springer
14 years 1 months ago
Modeling of Workload in MPPs
In this paper we have characterized the inter-arrival time and service time distributions for jobs at a large MPP supercomputing center. Our findings show that the distributions ...
Joefon Jann, Pratap Pattnaik, Hubertus Franke, Fan...
PDP
2008
IEEE
14 years 3 months ago
Load Balancing Distributed Inverted Files: Query Ranking
Search engines use inverted files as index data structures to speed up the solution of user queries. The index is distributed on a set of processors forming a cluster of computer...
Carlos Gomez-Pantoja, Mauricio Marín