Performance evaluation of fault tolerance techniques in grid computing system |
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| Authors: | Fiaz Gul Khan Kalim Qureshi Babar Nazir |
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| Affiliation: | 1. Information Science Department Kuwait University, Kuwait;2. Department of Computer Science, COMSATS Institute of Information Technology, Abbottabad, Pakistan;1. Oak Ridge High School, Oak Ridge, TN 37830, United States;2. Department of Mechanical Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;3. Bergen Software Services International, Bergen, Norway;1. Department of Computer Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran;2. Iran Telecommunication Research Center (ITRC), Tehran, Iran;3. Department of Computer Engineering, Yadegar -e- Imam Khomeini (RAH) Branch, Islamic Azad University, Tehran, Iran;1. Aging Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea;2. Department of Functional Genomics, University of Science and Technology (UST), 217 Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea;3. Department of New Drug Discovery and Development, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea |
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| Abstract: | As fault tolerance is the ability of a system to perform its function correctly even in the presence of faults. Therefore, different fault tolerance techniques (FTTs) are critical for improving the efficient utilization of expensive resources in high performance grid computing systems, and an important component of grid workflow management system.This paper presents a performance evaluation of most commonly used FTTs in grid computing system. In this study, we considered different system centric parameters, such as throughput, turnaround time, waiting time and network delay for the evaluation of these FTTs. For comprehensive evaluation we setup various conditions in which we vary the average percentage of faults in a system, along with different workloads in order to find out the behavior of FTTs under these conditions. The empirical evaluation shows that the workflow level alternative task techniques have performance priority on task level checkpointing techniques. This comparative study will help to grid computing researchers in order to understand the behavior and performance of different FTTs in detail. |
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