Optimal Load Balancing in Bipartite Graphs
Optimal Load Balancing in Bipartite Graphs
复制标题
二分图中的最优负载均衡
DOI:
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
R. Srikant
中科院分区:
文献类型:
--
作者:
Wentao Weng;Xingyu Zhou;R. Srikant
Applications in cloud platforms motivate the study of efficient load balancing under job-server constraints and server heterogeneity. In this paper, we study load balancing on a bipartite graph where left nodes correspond to job types and right nodes correspond to servers, with each edge indicating that a job type can be served by a server. Thus edges represent locality constraints, i.e., each job can only be served at servers which contained certain data and/or machine learning (ML) models. Servers in this system can have heterogeneous service rates. In this setting, we investigate the performance of two policies named Join-the-Fastest-of-the-Shortest-Queue (JFSQ) and Join-the-Fastest-of-the-Idle-Queue (JFIQ), which are simple variants of Join-the-Shortest-Queue and Join-the-Idle-Queue, where ties are broken in favor of the fastest servers. Under a "well-connected" graph condition, we show that JFSQ and JFIQ are asymptotically optimal in the mean response time when the number of servers goes to infinity. In addition to asymptotic optimality, we also obtain upper bounds on the mean response time for finite-size systems. We further show that the well-connectedness condition can be satisfied by a random bipartite graph construction with relatively sparse connectivity.
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影响因子:
1.1
作者:
Hurtado-Lange, Daniela;Maguluri, Siva Theja
通讯作者:
Maguluri, Siva Theja
DOI:
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发表时间:
2018
期刊:
IEEE International Conference on Computer Communications
影响因子:
--
作者:
Liu, Xin;Ying, Lei
通讯作者:
Ying, Lei
影响因子:
1.2
作者:
Cruise J
通讯作者:
Cruise J
DOI:
10.1002/nav.21986
发表时间:
2021
期刊:
Naval Research Logistics (NRL
影响因子:
--
作者:
Liu, Xin;Gong, Kang;Ying, Lei
通讯作者:
Ying, 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