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A novel coordinated resource provisioning approach for cooperative cloud market

机译:一种新型的协作云市场协同资源配置方法

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Cloud computing has been the enabling technology for shifting mass scale computation and storage requirements from individually owned clients towards an on-demand and utility styled alternative that provides many services. However, cost of maintaining datacenters, keeping the environmental ramifications of data centers at check, providing affordable computation alternative to users still needs to be addressed in a wholesome manner. One of the most exciting and recent research areas in cloud computing has been cloud federations that can mitigate the aforesaid problems. The past decade has seen immense efforts towards interoperability of clouds leading to realistic cloud federations. Motivated by these advancements and equipped with available technologies, this paper presents a detailed account of a cooperative cloud market. It delineates trading mechanisms of such cloud markets, extent of coordination among market players with illustrative examples. It also presents a novel two-phase coordinated resource reservation and provisioning (CRRP) approach that allocates cloud resources to users to meet the goal of minimizing users’ cost. To that end, this paper proposes a novel Most Cost Effective Providers’ Resources First (MCEPRF) algorithm. The efficiency of the proposed algorithm has been tested using synthetic data and the simulation results presented herein demonstrate the superiority of the proposed approach over its non-coordinated counterparts.
机译:云计算一直是使大规模计算和存储需求从个人拥有的客户转移到按需和实用程序样式的替代方案(可提供许多服务)的使能技术。但是,仍然需要以一种健康的方式解决维护数据中心,阻止数据中心的环境后果,为用户提供负担得起的计算替代方案的成本。云联合会可以缓解上述问题,是云计算领域最令人兴奋的最新研究领域之一。在过去的十年中,为实现互操作性而付出了巨大的努力,最终形成了现实的云联盟。受这些进步的推动并配备了可用的技术,本文详细介绍了合作云市场。它通过示例说明了此类云市场的交易机制,市场参与者之间的协调程度。它还提出了一种新颖的两阶段协作式资源预留和配置(CRRP)方法,该方法可将云资源分配给用户,以实现将用户成本降至最低的目标。为此,本文提出了一种新颖的“最具成本效益的提供商的资源优先”(MCEPRF)算法。已经使用合成数据测试了所提出算法的效率,并且本文提供的仿真结果证明了所提出方法相对于其非协调对应方法的优越性。

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