Reliability of grid service systems |
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| Affiliation: | 1. Department of Computer and Information Science, Indiana University, Purdue University, Indianapolis, IN 46202, USA;2. Department of Industrial and System Engineering, National University of Singapore, Singapore 119260, Singapore;1. Department of Civil and Earth Resources Engineering, Graduate School of Engineering, Kyoto University, Japan;2. Department of Engineering Science, University of Greenwich, United Kingdom;3. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore;1. Environmental Change Institutue, School of Geography and Environment, University of Oxford, United Kingdom;2. School of Industrial and Systems Engineering, University of Oklahoma, United States;3. Engineering Management Program, System Development and Maturity Lab, School of Systems and Enterprises, Stevens Institute of Technology, United States;4. Facultad de Ingenieria, Universidad Central de Venezuela, Venezuela;1. School of Reliability and Systems Engineering, Beihang University, Beijing 100083, China;2. Energy Department, Politecnico di Milano, Milano 20133, Italy;3. Chair on Systems Science and Energy Challenge, Fondation Electricité de France (EDF), CentraleSupelec, Université Paris-Saclay, Chatenay-Malabry, Paris 92290, France;1. Environmental Change Institute, Centre for the Environment, University of Oxford, United Kingdom;2. School of Industrial and Systems Engineering, University of Oklahoma, United States;3. College of Engineering, School of Industrial and Systems Engineering, University of Oklahoma, United States |
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| Abstract: | Grid computing system is different from conventional distributed computing systems by its focus on large-scale resource sharing, where remote accessing and information communication have great influence on grid computing. As an important metric for services, the grid service reliability is studied in this paper. There are some earlier studies on the reliability analysis of conventional small-scale distributed systems, which ignored the communication time and processing time when studying the reliability, but it is not practical in the reliability analysis of grid services due to the wide-area property of the network. Thus, this paper presents a model for the grid services and develops an approach to analyze the grid service reliability. Detailed algorithms to compute the grid service reliability are presented and a self-sensing technology is proposed for parameterization and monitoring. A numerical example is used for the purpose of illustration. Finally, the new model is compared with different types of conventional models, through which this model is verified more suitable for grid service reliability. |
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