Earticle

초록

영어

With the exponential increase of the cloud business volume, Data center occurs load imbalance caused by some physical machine inefficiency due to the diversity of users requirements. Therefore the cloud datacenter need an appropriate algorithm to balance the PMs load and ensure the resource utilization in the cloud datacenter. The paper defines and formulates the problem parameters and proposes a Multi-objective Discrete Particle Swarm Optimization (MDPSO) to schedule the resources to the VMs requests according to the requirements. The simulation shows that the MDPSO algorithm not only guarantees the resource utilization, but also insures the PMs Load balance.

목차

Abstract
 1. Introduction
 2. Related Work
 3. The Details of the Multi-Objective Algorithm
  3.1. The Definition of the Problem Parameters
  3.2. The Improved PSO Scheduling Algorithm
  3.3. Multi-objective DPSO VM Scheduling
 4. Simulation Results
 5. Conclusion
 References

키워드

저자

• Shengjun Xue [ Nanjing University of Information Science & Technology, School of Computer and Software, Nanjing, China / Nanjing University of Information Science & Technology, Jiangsu Engineering Center of Network Monitoring, Nanjing, China ]
• Jingyi Chen [ Nanjing University of Information Science & Technology, School of Computer and Software, Nanjing, China / Nanjing University of Information Science & Technology, Jiangsu Engineering Center of Network Monitoring, Nanjing, China ]
• Mengying Li [ Nanjing University of Information Science & Technology, School of Computer and Software, Nanjing, China / Nanjing University of Information Science & Technology, Jiangsu Engineering Center of Network Monitoring, Nanjing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605