Metrics for Effective Resource Management in Global Computing Environments
- 5 January 2006
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 8 pp.-211
- https://doi.org/10.1109/e-science.2005.58
Abstract
Global computing uses Internet-connected PCs volunteered by their owners. These PCs are diverse, volatile, and error-prone. Sophisticated scheduling methods commonly applied in grid computing may not be sufficiently scalable and flexible for global computing environments. This paper shows that it is possible to classify global computing hosts based on simple metrics such as availability and reliability, and that it is efficient to assign tasks to such hosts accordingly. The proposed classification of workers is applied to P@H, a global computing project for protein structure predictionKeywords
This publication has 16 references indexed in Scilit:
- New Grid Scheduling and Rescheduling Methods in the GrADS ProjectInternational Journal of Parallel Programming, 2005
- Homogeneous Redundancy: a Technique to Ensure Integrity of Molecular Simulation Results Using Public ComputingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Self adaptivity in Grid computingConcurrency and Computation: Practice and Experience, 2005
- Adaptive computing on the grid using AppLeSIEEE Transactions on Parallel and Distributed Systems, 2003
- Atomistic protein folding simulations on the submillisecond time scale using worldwide distributed computingBiopolymers, 2002
- The GrADS Project: Software Support for High-Level Grid Application DevelopmentThe International Journal of High Performance Computing Applications, 2001
- CHARMM : The Energy Function and Its ParameterizationPublished by Wiley ,1998
- Calibration of microprocessor performance modelsComputer, 1998
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programsNucleic Acids Research, 1997
- MONSSTER: a method for folding globular proteins with a small number of distance restraintsJournal of Molecular Biology, 1997