Towards Green Service Composition Approach in the Cloud

被引:29
|
作者
Wang, Shangguang [1 ]
Zhou, Ao [1 ]
Bao, Ruo [1 ]
Chou, Wu [2 ]
Yau, Stephen S. [3 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] Huawei Technol, Shenzhen 518129, Guangdong, Peoples R China
[3] Arizona State Univ ASU, Sch Comp Sci & Engn, Tempe, AZ 85287 USA
基金
美国国家科学基金会; 北京市自然科学基金;
关键词
Quality of service; Cloud computing; Switches; Energy consumption; Servers; Data centers; Virtual machining; Service composition; cloud computing; energy consumption; network resource consumption; WEB SERVICES; ENERGY; SELECTION; AWARE; QOS;
D O I
10.1109/TSC.2018.2868356
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the increasing popularity of cloud computing, many notable quality of service (QoS)-aware service composition approaches have been incorporated in service-oriented cloud computing systems. However, these approaches are implemented without considering the energy and network resource consumption of the composite services. The increases in energy and network resource consumption resulting from these compositions can incur a high cost in data centers. In this paper, the trade-off among QoS performance, energy consumption, and network resource consumption in a service composition process is first analyzed. Then, a green service composition approach is proposed. It gives priority to those composite services that are hosted on the same virtual machine, physical server, or edge switch with end-to-end QoS guarantee. It fulfills the green service composition optimization by minimizing the energy and network resource consumption on physical servers and switches in cloud data centers. Experimental results indicate that, with comparisons to other approaches, our approach saves 20-50 percent of energy consumption and 10-50 percent of network resource consumption.
引用
收藏
页码:1238 / 1250
页数:13
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