Parallel plants collaborative growth algorithm for virtual machine migration

Fei Wang, Anting Chen, Yuanjun Laili, Lin Zhang, Peng Wan, Dongming Zhao and Fei Tao

International Journal of Service and Computing Oriented Manufacturing, 2014, vol. 1, issue 3, 211-236

Abstract: With the development of cloud computing, more and more virtual computing resources are provided as dynamic services to achieve green and agile computing for different kinds of projects. Virtual machine migration, as one of the main technologies, has brought huge influences on the executive and collaborative efficiency of virtual machines. However, the existing research focuses primarily on management and scheduling of virtual machines. And several studies concerning virtual machine migration in service-oriented computing still have great limitations. Especially, with the expansion of the scale of collaborative computing tasks, the complexity, as well as the number of virtual machines increased significantly. When the pre-allocation of virtual machines becomes unsuitable due to some resource failures or long waiting queue, migration of virtual machine becomes imperative. Considering the influence of initial allocation, this paper proposes a new parallel plant collaborative growth algorithm (namely Parallel-PCGA) which combines efficient plant growth optimisation operator and ring topology-based parallelisation. It brings an effective balance in solution time and accuracy. Experimental results prove that Parallel-PCGA shows high performance in large-scale virtual machine migration in cloud computing.

Keywords: virtual machines; virtual machine migration; plant growth simulation; parallel intelligent algorithms; cloud computing; agile computing; green computing; service-oriented computing; plant growth optimisation; ring topology. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=63994 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijscom:v:1:y:2014:i:3:p:211-236

Access Statistics for this article

More articles in International Journal of Service and Computing Oriented Manufacturing from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().