Virtual machine consolidation for cloud data centers using parameter-based adaptive allocation

Abdelkhalik Mosa, Rizos Sakellariou

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Abstract

Cloud computing enables cloud providers to offer computing infrastructure as a service (IaaS) in the form of virtual machines (VMs). Cloud management platforms automate the allocation of VMs to physical machines (PMs). An adaptive VM allocation policy is required to handle changes in the cloud environment and utilize the PMs efficiently. In the literature, adaptive VM allocation is typically performed using either reservation-based or demand-based allocation. In this work, we have developed a parameter-based VM consolidation solution that aims to mitigate the issues with the reservation-based and demand-based solutions. This parameter- based VM consolidation exploits the range between demand-based and reservation-based finding VM to PM allocations that strike a delicate balance according to cloud providers' goals. Experiments conducted using CloudSim show how the proposed parameter- based solution gives a cloud provider the flexibility to manage the trade-off between utilization and other requirements.

Original languageEnglish
Title of host publicationProceedings - 5th European Conference on the Engineering of Computer-Based Systems, ECBS 2017
EditorsOndrej Rysavy, Valentino Vranic
Pages1-10
Number of pages10
ISBN (Electronic)9781450348430
DOIs
Publication statusPublished - 31 Aug 2017
Event5th European Conference on the Engineering of Computer-Based Systems, ECBS 2017 - Larnaca, Cyprus
Duration: 31 Aug 20171 Sept 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F130524

Conference

Conference5th European Conference on the Engineering of Computer-Based Systems, ECBS 2017
Country/TerritoryCyprus
CityLarnaca
Period31/08/171/09/17

Keywords

  • cloud data centers
  • efficient data center utilization
  • virtual machine consolidation
  • virtual machine mapping
  • parameter-based adaptive allocation
  • virtual machines (VMs)
  • CloudSim
  • data centers

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