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  • 标题:Algorithms to Improve Resource Utilization and Request Acceptance Rate in IaaS Cloud Scheduling
  • 本地全文:下载
  • 作者:Vivek Shrivastava ; D.S. Bhilare
  • 期刊名称:International Journal of Advanced Networking and Applications
  • 电子版ISSN:0975-0290
  • 出版年度:2012
  • 卷号:3
  • 期号:5
  • 页码:1367-1374
  • 出版社:Eswar Publications
  • 摘要:Computing inf rastructure provisioning in Infrastructure as a Service (IaaS) cloud is done in the f orm of virtual machines. Haizea, a resource lease manager, provides four types of leases: Immediate, Best Effort (BE), Adva nce Reservation (AR) and Dead Line Sensitive (DLS). AR leases are most privileged leases with "AR preempts other leases" policy, since they can preempt & suspend other BE leases when demanded by consumers. This leads to two problems: 1) a set of BEs can go suspended infinite number of time & 2) ARs, at the actual time of their resource allocation, can be rejected due to presence of ot her ARs in schedule. This work proposes two algorithms 1) Starvation-Removal and 2) AR-to-BE Conversion to solve these problems. Experimental results of t he proposed algorithms successfully demonstrate that we can stop starvation of BE leases for resources and effectively improve request acceptance rate
  • 关键词:AR-to-BE Conversion; IaaS cloud; Haizea; Scheduling; Starvation-Removal
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