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
北京市自然科学基金; 美国国家科学基金会;
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
相关论文
共 50 条
  • [1] Towards Service Composition Aware Virtual Machine Migration Approach in the Cloud
    Zhou, Ao
    Wang, Shangguang
    Ma, Xiao
    Yau, Stephen S.
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2020, 13 (04) : 735 - 744
  • [2] A Migration Approach for Cloud Service Composition
    Li, Jing
    SERVICE-ORIENTED COMPUTING - ICSOC 2016 WORKSHOPS, 2017, 10380 : 133 - 138
  • [3] Towards Network-Aware Service Composition in the Cloud
    Wang, Shangguang
    Zhou, Ao
    Yang, Fangchun
    Chang, Rong N.
    IEEE TRANSACTIONS ON CLOUD COMPUTING, 2020, 8 (04) : 1122 - 1134
  • [4] Towards Composition as a Service - A Quality of Service Driven Approach
    Rosenberg, Florian
    Leitner, Philipp
    Michlmayr, Anton
    Celikovic, Predrag
    Dustdar, Schahram
    ICDE: 2009 IEEE 25TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3, 2009, : 1733 - 1740
  • [5] Green Manufacturing Service Composition in Cloud Manufacturing System: an Introduction
    Xiang, Feng
    Xu, LuLu
    Jiang, GuoZhang
    PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2016, : 1988 - 1993
  • [6] Towards Efficient Service Composition in Multi-Cloud Environment
    Lu, Junwen
    Hao, Yongsheng
    Wang, Lina
    Zheng, Mai
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 2015, : 65 - 70
  • [7] Towards a Multi-tenancy aware Cloud Service Composition
    Sellami, Wael
    Kacem, Hatem Hadj
    Kacem, Ahmed Hadj
    2014 28TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2014, : 404 - 409
  • [8] Towards a System for Cloud Service Discovery and Composition Based on Ontology
    Guerfel, Rawand
    Sbai, Zohra
    Ben Ayed, Rahma
    COMPUTATIONAL COLLECTIVE INTELLIGENCE (ICCCI 2015), PT II, 2015, 9330 : 34 - 43
  • [9] An Efficient Approach to Optimization of Service Composition in Cloud Environment
    Yang Yan
    Wang Sai
    Li Rong
    PROCEEDINGS OF THE 2017 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTER (MACMC 2017), 2017, 150 : 729 - 734
  • [10] Towards Green Cloud Computing: Demand Allocation and Pricing Policies for Cloud Service Brokerage
    Qiu, Chenxi
    Shen, Haiying
    Chen, Liuhua
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 203 - 212