{"title":"Self-adaptive leasing for jini","authors":"K. Bowers, K. Mills, S. Rose","doi":"10.1109/PERCOM.2003.1192786","DOIUrl":null,"url":null,"abstract":"Distributed systems require strategies to detect and recover from failures. Many protocols for distributed systems employ a strategy based on leases, which grant a leaseholder access to data or services for a limited time (the lease period). Choosing an appropriate lease period involves tradeoffs among resource utilization, responsiveness, and system size. We investigate these issues for Jini Network Technology. First, we establish quantitative tradeoffs among lease period, bandwidth utilization, responsiveness, and system size. Then, we consider two self-adaptive algorithms that enable a Jini system, given a fixed allocation of resources, to vary lease periods with system size to achieve the best responsiveness. We compare performance of these self-adaptive algorithms against each other, and against fixed lease periods. We find that one of the self-adaptive algorithms proves easy to implement and performs reasonably well. We anticipate that similar procedures could add self-adaptive capability to other distributed systems that rely on leases.","PeriodicalId":230787,"journal":{"name":"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOM.2003.1192786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Distributed systems require strategies to detect and recover from failures. Many protocols for distributed systems employ a strategy based on leases, which grant a leaseholder access to data or services for a limited time (the lease period). Choosing an appropriate lease period involves tradeoffs among resource utilization, responsiveness, and system size. We investigate these issues for Jini Network Technology. First, we establish quantitative tradeoffs among lease period, bandwidth utilization, responsiveness, and system size. Then, we consider two self-adaptive algorithms that enable a Jini system, given a fixed allocation of resources, to vary lease periods with system size to achieve the best responsiveness. We compare performance of these self-adaptive algorithms against each other, and against fixed lease periods. We find that one of the self-adaptive algorithms proves easy to implement and performs reasonably well. We anticipate that similar procedures could add self-adaptive capability to other distributed systems that rely on leases.
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jini的自适应租赁
分布式系统需要检测故障并从故障中恢复的策略。分布式系统的许多协议采用基于租赁的策略,该策略允许租赁方在有限的时间(租期)内访问数据或服务。选择合适的租期需要在资源利用率、响应性和系统大小之间进行权衡。我们为Jini网络科技调查这些问题。首先,我们在租期、带宽利用率、响应性和系统大小之间建立定量权衡。然后,我们考虑了两种自适应算法,这两种算法使给定固定资源分配的Jini系统能够根据系统大小改变租期,以实现最佳响应。我们将这些自适应算法的性能相互比较,并与固定的租期进行比较。我们发现其中一种自适应算法易于实现并且性能相当好。我们预计类似的过程可以为其他依赖租约的分布式系统增加自适应能力。
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