Earticle

초록

영어

To further enhance optimizing effect of virtual machine resource allocation, virtual machine resource allocation algorithm of probabilistic optimization based on SME-FFD (Simulated Evolution – First Fit Decreasing ) is proposed aiming at NP hard optimization problem in the process of virtual machine resource allocation in cloud computing. First of all, an optimization evaluation scheme of virtual machine resource allocation is proposed, and strong climbing optimization ability of simulated evolutionary algorithm is adopted to carry out iterative evolution to selection, evaluation and ranking of virtual machine resource allocation ; after that, based on SME algorithm obtaining resource allocation ordering, the secondary allocation on virtual machine and physical host resources ranked is conducted using FFD to improve efficiency and effectiveness of resource allocation; in the end, experimental comparison is conducted in CloundSim grid lab in the University of Melbourne and gridbus cloud simulation platform, the results show that CPU usage rate of proposed algorithm reaches up to 47%, memory usage rate reaches up to 56%, therefore, it may effectively reduce physical machine usage quantity and realize the goal of energy consumption.

목차

Abstract
 1. Introduction
 2. Proposed Algorithm
  2.1. Simulated Evolution
  2.2. Optimal Evaluation
  2.3. Selection
  2.4. FFD Resource Allocation
 3. Experimental Analysis
  3.1. Comparison of Physical Host Quantity
  3.2. Utilization Efficiency of Physical Resource
  3.3. Running Time and Convergence Procedure of Algorithm
 4. Conclusion
 References

키워드

저자

• Qin Meng [ Linyi University, Linyi, 276000, China ]
• Song Baogui [ Linyi University, Linyi, 276000, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605