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Dispersion cloud resources scheduling based on mobile agent

机译:基于移动Agent的分散云资源调度

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Many factors give rise to the diffusion of basic computing resources in cloud computing environment, such as the distribution, shareability and heterogeneousness of cloud platform and the loose coupling, time variability and randomness of load. Therefore, the paper studies the scheduling problem of basic computing resources in cloud computing environments from the perspective of IaaS resource provider. First, the paper proposes the resource deployment architecture on the basis of mobile Agent paradigm. Second, the paper designs a "searching-decision making-executing" multistage iterative scheduling model for catching the local features of workload under the constraints of real time and fine-grained. Third, the paper introduces the Skyline computing idea to establish the selecting strategy by using the optimal assigning and scheduling model. Finally, in comparison with RoundRobin Scheduling Algorithm and Utilization Perception Algorithm, the proposed schemes own better performance.
机译:导致云计算环境中基础计算资源扩散的因素很多,例如云平台的分布,共享性和异构性以及负载的松散耦合,时间可变性和随机性。因此,本文从IaaS资源提供者的角度研究了云计算环境中基本计算资源的调度问题。首先,本文提出了基于移动Agent范式的资源部署架构。其次,设计了一种“搜索决策执行”的多阶段迭代调度模型,用于在实时和细粒度的约束下捕获工作负载的局部特征。第三,介绍了Skyline计算思想,通过最优分配与调度模型建立选择策略。最后,与RoundRobin调度算法和利用率感知算法相比,该方案具有更好的性能。

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