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» On Advantages of Grid Computing for Parallel Job Scheduling
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HPCS
2005
IEEE
14 years 2 months ago
A Lightweight, Scalable Grid Computing Framework for Parallel Bioinformatics Applications
Abstract— In recent years our society has witnessed an unprecedented growth in computing power available to tackle important problems in science, engineering and medicine. For ex...
Hans De Sterck, Rob S. Markel, Rob Knight
ISPAN
2005
IEEE
14 years 2 months ago
Process Scheduling for the Parallel Desktop
Commodity hardware and software are growing increasingly more complex, with advances such as chip heterogeneity and specialization, deeper memory hierarchies, ne-grained power ma...
Eitan Frachtenberg
HPCC
2009
Springer
14 years 1 months ago
Load Scheduling Strategies for Parallel DNA Sequencing Applications
This paper studies a load scheduling strategy with nearoptimal processing time leveraging the computational characteristics of parallel DNA sequence alignment algorithms, specific...
Sudha Gunturu, Xiaolin Li, Laurence Tianruo Yang
MIDDLEWARE
2007
Springer
14 years 3 months ago
New Worker-Centric Scheduling Strategies for Data-Intensive Grid Applications
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Steven Y. Ko, Ramsés Morales, Indranil Gupt...
EUROPAR
2007
Springer
14 years 3 months ago
Negotiation Strategies Considering Opportunity Functions for Grid Scheduling
In Grid systems, nontrivial qualities of service have to be provided to users by the resource providers. However, resource management in a decentralized infrastructure is a complex...
Jiadao Li, Kwang Mong Sim, Ramin Yahyapour