Earticle

초록

영어

Service providers and service consumers in the cloud environment are two important subjects to regulate the cloud computing market and the interests of the game between these two have a certain dynamic. Therefore, in this paper, a framework of SLA negotiation based on evolutionary game theory is proposed in the cloud environment, and the purposes are not only that the parties can negotiate successfully, but also that it clearly demonstrates dynamic evolutionary game process of the participant groups and the internal of the groups. The experimental results show that there are two long-term stable strategies of service providers and service consumers: Firstly, if the service providers take high-quality strategy, then service consumers adopt the high-price strategy; secondly, if service providers take low-quality strategy, then service consumers adopt the low-price strategy. And the analysis by the evolutionary game model and the evolutionary game path shows that the cooperation of the service providers and the service consumers in the consultation are mainly affected by the direct incomes, the distribution percentage, the preferential subsidies, the violation penalties, the violation revenues, the payment costs and other factors .

목차

Abstract
 1. Introduction
 2. Related Work
 3. Architecture
 4. Construction of Evolutionary Game Model and Dynamic Evolution
  4.1. Construction of Evolutionary Game Model between Service Providers and Service Consumers
  4.2. The Dynamic Evolution of Service Providers and Service Consumers' Behavior
 5. Simulation and Analysis of Dynamic Evolutionary Model
  5.1. Cost Parameters s C and c Cof Service Providers and Service Consumers
  5.2. Default Income Parameters s H and c H of Service Providers and Service Consumers
  5.3. The Punishment Parameter f of a Party Who Violates the Agreement
  5.4. Direct Income Parameter Nc of Service Consumers Take High Price
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Hongwei Chen [ School of Computer Science, Hubei University of Technology, Wuhan, China ]
• Xiaojuan Liu [ School of Computer Science, Hubei University of Technology, Wuhan, China ]
• Hui Xu [ School of Computer Science, Hubei University of Technology, Wuhan, 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