Earticle

초록

영어

In recent years, the use of cloud services has been significantly expanded. The providers of software as a service employ multi-tenant architectures to deliver services to their users. In these multi-tenant applications the resource allocation would suffer from over-utilization or under-utilization issues. Considering the significant effects of resource allocation on the service performance and cost, in this paper we have proposed an approach based on genetic algorithm for resource allocation which guarantees service quality through providing adequate resources. The proposed approach also improves system performance, meets the requirements of users and provides maximum resource efficiency. Simulation results show that the proposed approach has better response rate and availability comparing to other approaches, while provides an efficient resource usage.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Proposed Solution
  3.1. Tenant-based VM Allocation Algorithm based on Genetic Algorithm of TBRAMA-GA
  3.2. Tenant-based VM Allocation Algorithm based on Heuristic Algorithm TBRAMA-HE
 4. Performance Evaluation
  4.1. Performance Metrics
  4.2. Evaluation of the First Scenario
  4.3. Evaluation of the Second Scenario
  4.4. Evaluation of the Third Scenario
  4.5. Total Evaluation
 5. Conclusion and Future Work
 References

키워드

저자

• Elaheh Kheiri [ Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran ]
• Mostafa Ghobaei Arani [ Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran ]
• Reyhaneh Kheiri [ Department of Computer Engineering, Mahallat Branch, Islamic Azad University, Iran ]
• Alireza Taghizadeh [ Department of Computer Engineering, Parand Branch, Islamic Azad University, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605