Earticle

초록

영어

In recent years, applications of cloud services have been increasingly expanded. Cloud services, are distributed infrastructures which develop the communication and services. Auto scaling is one of the most important features of cloud services which dedicates and retakes the allocated dynamic resource in proportion to the volume of requests. The Scaling tries to utilize maximum power of the available resources also to use idle resources, in order to maximize the efficiency or shutdown unnecessary resources to reduce the cost of running requests. In this paper, we have suggested an approach based on learning automata for resource auto-scaling, in order to manage and optimize factor cost. Results of simulation show that proposed approach has been able to optimize cost compared to the other approaches.

목차

Abstract
 1. Introduction
 2. Related Works
 3. The Proposed Approach
  3.1 Learning Automata
  3.2 The Proposed Algorithm
 4. Performance Evaluation
  4.1 Evaluation Results
 5. Conclusion and Further Work
 References

키워드

저자

• Khosro Mogoui [ Department of Computer Engineering, Islamic Azad University of Mahallat, Mahallat, Iran ]
• Mostafa Ghobaei Arani [ Department of Computer Engineering, Islamic Azad University of Parand, Tehran, Iran ]

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