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QoS and trust-aware coalition formation game in data-intensive cloud federations

机译:数据密集型云联盟中的QoS和信任感知联盟形成游戏

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摘要

This paper addresses the problem of efficient federation formation by the cloud providers (CPs) with an aim to fulfill the dynamic resource demands of users for supporting data-intensive workloads. Existing works only focus on forming federations based on the highest profit gained by each of the CPs in a federation. Therefore, these approaches often suffer from the risk of selecting unreliable CPs in the federation resulting in additional penalty cost and loss of CPs's reputation due to service level agreement violation between the users and the federation. In contrast, we argue that a trust model is necessary to find the most promising cloud collaborators. Accordingly, we propose a novel cloud federation formation mechanism by utilizing a trust-based cooperative game theory, which enables the CPs to dynamically form a federation based on profit maximization and penalty cost minimization as a result of selecting the trustworthy CPs. Simulation results show that the cloud federation formed by the proposed mechanism is stable, satisfies the fairness property, and yields higher profit for the participating CPs in the long run without incurring penalty cost as compared with the state-of-the-art approaches. Copyright © 2015 John Wiley & Sons, Ltd.
机译:本文解决了由云提供商(CP)进行有效联盟形成的问题,目的是满足用户对支持数据密集型工作负载的动态资源需求。现有的工作仅着重于根据联盟中每个CP所获得的最高利润来形成联盟。因此,这些方法经常具有在联盟中选择不可靠的CP的风险,由于用户和联盟之间违反服务水平协议,导致额外的罚款成本和CP信誉的损失。相反,我们认为信任模型对于找到最有前途的云合作者是必要的。因此,我们提出了一种利用基于信任的合作博弈理论的新型云联盟形成机制,该机制使得CP可以根据选择可信赖CP的利润最大化和惩罚成本最小化来动态地形成联盟。仿真结果表明,与现有方法相比,所提出的机制所形成的云联盟稳定,满足公平性,并且从长远来看可以为参与的CP带来更高的利润,而不会产生成本损失。版权所有©2015 John Wiley&Sons,Ltd.

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  • 作者单位

    King Saud University Department of Information Systems College of Computer and Information Sciences Riyadh Saudi Arabia;

    King Saud University Department of Information Systems College of Computer and Information Sciences Riyadh Saudi Arabia;

    King Saud University Department of Information Systems College of Computer and Information Sciences Riyadh Saudi Arabia;

    King Saud University Department of Information Systems College of Computer and Information Sciences Riyadh Saudi Arabia;

    King Saud University Department of Information Systems College of Computer and Information Sciences Riyadh Saudi Arabia;

    King Saud University Department of Information Systems College of Computer and Information Sciences Riyadh Saudi Arabia;

    Taibah University Department of Computer Engineering Madina Saudi Arabia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    cloud federation; big data; game theory; trust model;

    机译:云联合大数据博弈论信任模型;

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