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User's priority focused resource provisioning over cloud computing infrastructure

机译:通过云计算基础架构,以用户优先级为重点的资源供应

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Resource provisioning is the process of activating a bundle of allocated quantity of resources to bear the user requests. The scheduling algorithm plays a vital role in effective utilisation of resources, though resource allocation fails to achieve user satisfaction. To overcome this failure, Drip Irrigation-based Resource Allocation (DRA) scheduling algorithm is proposed to exploit the user priority on the basis of the reputation of the users who frequently request the resources. This algorithm works in three stages, namely resource selection, resource matching and drip-based resource allocation, where the unallocated requests are divided into smaller sub-tasks and limited available resources are allocated to them. Simulation results demonstrate that the drip-based resource scheduling mechanism is effective in satisfying the users' diverse requirements by considering their priority. Compared to the First Come First Serve (FCFS) and UFeed algorithms this performs better in terms of resource utilisation rate and satisfies more users in the cloud system.
机译:资源供应是激活一捆分配的资源量来承担用户请求的过程。尽管资源分配无法实现用户满意度,但是调度算法在有效利用资源方面起着至关重要的作用。为了克服这种故障,提出了基于滴灌的资源分配(DRA)调度算法,以根据频繁请求资源的用户的信誉来利用用户优先级。该算法分三个阶段工作,即资源选择,资源匹配和基于点滴的资源分配,其中将未分配的请求划分为较小的子任务,并为它们分配有限的可用资源。仿真结果表明,基于点滴的资源调度机制通过考虑用户的优先级可以有效满足用户的多样化需求。与先来先服务(FCFS)和UFeed算法相比,这在资源利用率方面表现更好,并且可以满足云系统中更多的用户需求。

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