Resource optimization for survivable embedding of virtual clusters in cloud data centers

Biyu Zhou, Jie Wu, Fa Zhang, Zhiyong Liu

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

2 Citations (Scopus)

Abstract

With the popularity of cloud computing, optimizing cloud resource consumption while providing predictable cloud service has become one of the focuses of research in recent years. In order to ensure a predictable performance, the requests from tenants are abstracted as Virtual Clusters, which not only specify the computing demands, but also establish the communication requirements among virtual machines. While much work has been done on virtual cluster embedding under a variety of goals, very few people have studied this issue in consideration of service survivability, which also plays a vital role in ensuring the performance in cloud data centers. In this paper, we study the resource optimization for survivable embedding of virtual clusters and aim to minimize the consumption of cloud resources in terms of server and bandwidth, while ensuring that both the resource constraints and the survivability constraints are not violated. We formally define this problem and analyze its complexity, and design efficient algorithms to solve the problem. Comprehensive experimental results verify that the overall resource consumption can be significantly reduced by applying our proposals.

Original languageEnglish
Title of host publication2017 IEEE 36th International Performance Computing and Communications Conference, IPCCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781509064687
DOIs
Publication statusPublished - 2 Jul 2017
Externally publishedYes
Event36th IEEE International Performance Computing and Communications Conference, IPCCC 2017 - San Diego, United States
Duration: 10 Dec 201712 Dec 2017

Publication series

Name2017 IEEE 36th International Performance Computing and Communications Conference, IPCCC 2017
Volume2018-January

Conference

Conference36th IEEE International Performance Computing and Communications Conference, IPCCC 2017
Country/TerritoryUnited States
CitySan Diego
Period10/12/1712/12/17

Keywords

  • Bandwidth guarantee
  • Cloud data center
  • Resource optimization
  • Survivability
  • Virtual Cluster

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