TY - JOUR
T1 - Towards Green Service Composition Approach in the Cloud
AU - Wang, Shangguang
AU - Zhou, Ao
AU - Bao, Ruo
AU - Chou, Wu
AU - Yau, Sik-Sang
N1 - Funding Information:
This work was supported in part by the National Science Foundation of China (No. 61472047), National Science Foundation of China(No. 61602054), and Beijing Natural Science Foundation (No. 4174100).
Publisher Copyright:
© 2008-2012 IEEE.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - 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.
AB - 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.
KW - Service composition
KW - cloud computing
KW - energy consumption
KW - network resource consumption
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U2 - 10.1109/TSC.2018.2868356
DO - 10.1109/TSC.2018.2868356
M3 - Article
AN - SCOPUS:85052824509
SN - 1939-1374
VL - 14
SP - 1238
EP - 1250
JO - IEEE Transactions on Services Computing
JF - IEEE Transactions on Services Computing
IS - 4
M1 - 8453852
ER -