Effective Modeling Approach for IaaS Data Center Performance Analysis under Heterogeneous Workload
Effective Modeling Approach for IaaS Data Center Performance Analysis under Heterogeneous Workload
复制标题
异构工作负载下 IaaS 数据中心性能分析的有效建模方法
DOI:
10.1109/tcc.2016.2560158
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发表时间:
2018-10
影响因子:
6.5
通讯作者:
Jiqiang Liu
中科院分区:
文献类型:
--
作者:
Xiaolin Chang;Ruofan Xia;Jogesh K. Muppala;Kishor S. Trivedi;Jiqiang Liu
Heterogeneity prevails not only among physical machines but also among workloads in real IaaS Cloud data centers (CDCs). The heterogeneity makes performance modeling of large and complex IaaS CDCs even more challenging. This paper considers the scenario where the number of virtual CPUs requested by each customer job may be different. We propose a hierarchical stochastic modeling approach applicable to IaaS CDC performance analysis under such a heterogeneous workload. Numerical results obtained from the proposed analytic model are verified through discrete-event simulations under various system parameter settings.
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影响因子:
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DOI:
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DOI:
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发表时间:
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期刊:
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影响因子:
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DOI:
10.1109/dsn.2013.6575350
发表时间:
2013-06
期刊:
2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
影响因子:
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