Energy minimization for cloud services with stochastic requests

Shuang Wang*, Quan Z. Sheng, Xiaoping Li, Adnan Mahmood, Yang Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)


Energy optimization for cloud computing services has gained a considerable momentum over the recent years. Unfortunately, minimizing energy consumption of cloud services has its own unique research problems and challenges. More specifically, it is difficult to select suitable servers for cloud service systems to minimize energy consumption due to the heterogeneity of servers in cloud centers. In this paper, the energy minimization problem is considered for cloud systems with stochastic service requests and system availability constraints where the stochastic cloud service requests are constrained by deadlines. An energy minimization algorithm is proposed to select the most suitable servers to achieve the energy efficiency of cloud services. Our intensive experimental studies based on both simulated and real cloud instances show the proposed algorithm is much more effective with acceptable CPU utilization, saving up to 61.95% energy consumption, than the existing algorithms.

Original languageEnglish
Title of host publicationService-Oriented Computing
Subtitle of host publication18th International Conference, ICSOC 2020 Dubai, United Arab Emirates, December 14–17, 2020, Proceedings
EditorsEleanna Kafeza, Boualem Benatallah, Fabio Martinelli, Hakim Hacid, Athman Bouguettaya, Hamid Motahari
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages16
ISBN (Electronic)9783030653101
ISBN (Print)9783030653095
Publication statusPublished - 2020
Event18th International Conference on Service-Oriented Computing, ICSOC 2020 - Dubai, United Arab Emirates
Duration: 14 Dec 202017 Dec 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12571 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference18th International Conference on Service-Oriented Computing, ICSOC 2020
Country/TerritoryUnited Arab Emirates


  • Energy minimization
  • Cloud service
  • Quality of Service
  • Service request
  • Rejection probability
  • System availability


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