Transform Methods for Heavy-Traffic Analysis
Transform Methods for Heavy-Traffic Analysis
复制标题
高流量分析的转换方法
DOI:
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复制
发表时间:
2019
期刊:
影响因子:
--
通讯作者:
H. Milton
中科院分区:
文献类型:
--
作者:
Daniela Hurtado;S. T. Maguluri;H. Milton
The drift method was recently developed to study queueing systems in steady-state. It was successfully used to obtain bounds on the moments of the scaled queue lengths, that are asymptotically tight in heavy-traffic, in a wide variety of systems including generalized switches [11], input-queued switches [42, 41], bandwidth sharing networks [62], etc. In this paper we develop the use of transform techniques for heavy-traffic analysis, with a special focus on the use of moment generating functions. This approach simplifies the proofs of the drift method, and provides a new perspective on the drift method. We present a general framework and then use the MGF method to obtain the stationary distribution of queue lengths in heavy-traffic in queueing systems that satisfy the Complete Resource Pooling condition. In particular, we study load balancing systems and generalized switches under general settings.
影响因子:
2.7
作者:
Huang, Junfei;Gurvich, Itai
通讯作者:
Gurvich, Itai
DOI:
10.1145/3209582.3225205
发表时间:
2018
期刊:
Mobihoc '18 Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing
影响因子:
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作者:
Li, Bin;Kong, Xiangqi;Wang, Lei
通讯作者:
Wang, Lei
DOI:
10.1145/3199524.3199565
发表时间:
2018
期刊:
ACM SIGMETRICS Performance Evaluation Review
影响因子:
--
作者:
Wang, Weina;Maguluri, Siva Theja;Srikant, R.;Ying, Lei
通讯作者:
Ying, Lei