Relaxed resource advance reservation policy in grid computing  

Relaxed resource advance reservation policy in grid computing

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作  者:XIAO Peng HU Zhi-gang School of Information Science and Engineering,Central South University,Changsha 410083,China 

出  处:《The Journal of China Universities of Posts and Telecommunications》2009年第2期108-113,共6页中国邮电高校学报(英文版)

基  金:supported by the National Natural Science Foundation of China(60673165)

摘  要:The advance reservation technique has been widely applied in many grid systems to provide end-to-end quality of service (QoS). However, it will result in low resource utilization rate and high rejection rate when the reservation rate is high. To mitigate these negative effects brought about by advance reservation, a relaxed advance reservation policy is proposed, which allows accepting new reservation requests that overlap the existing reservations under certain conditions. Both the benefits and the risks of the proposed policy are presented theoretically. The experimental results show that the policy can achieve a higher resource utilization rate and lower rejection rate compared to the conventional reservation policy and backfilling technique. In addition, the policy shows better adaptation when the grid systems are in the presence of a high reservation rate.The advance reservation technique has been widely applied in many grid systems to provide end-to-end quality of service (QoS). However, it will result in low resource utilization rate and high rejection rate when the reservation rate is high. To mitigate these negative effects brought about by advance reservation, a relaxed advance reservation policy is proposed, which allows accepting new reservation requests that overlap the existing reservations under certain conditions. Both the benefits and the risks of the proposed policy are presented theoretically. The experimental results show that the policy can achieve a higher resource utilization rate and lower rejection rate compared to the conventional reservation policy and backfilling technique. In addition, the policy shows better adaptation when the grid systems are in the presence of a high reservation rate.

关 键 词:grid computing advance reservation reservation violation computing economy 

分 类 号:TP393.01[自动化与计算机技术—计算机应用技术]

 

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