A hierarchical control framework of load balancing and resource allocation of cloud computing services

被引：28
|
作者：
Leontiou, Nikolaos [1 ]
Dechouniotis, Dimitrios [2 ]
Denazis, Spyros [1 ]
Papavassiliou, Symeon [2 ]
机构：
[1] Univ Patras, Dept Elect & Comp Engn, Patras, Greece
[2] Natl Tech Univ Athens, Sch Elect & Comp Engn, Athens, Greece
来源：
COMPUTERS & ELECTRICAL ENGINEERING | 2018年 / 67卷
关键词：
Cloud computing; Load balancing; Application placement; Resource allocation; Admission control; Fuzzy modeling; Feedback control; JOINT ADMISSION CONTROL; PERFORMANCE MANAGEMENT; POWER;
D O I：
10.1016/j.compeleceng.2018.03.035
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Service providers must guarantee Quality of Service (QoS) requirements of the co-hosted applications in a data center and simultaneously achieve optimal utilization of their infrastructure under varying workload. This paper presents a hierarchical control framework that aims at compromising antagonistic objectives inside a data center. The local control level tackles simultaneously the problems of resource allocation and admission control of virtual machines while the upper level addresses together the load balancing of the incoming requests and placement of virtual machines into a cluster of physical servers. Numerical results show that the cooperation of the two control layers guarantees the satisfaction of the system's constraints and the user's requirements towards the fluctuations of incoming requests.
引用
收藏
页码：235 / 251
页数：17
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