云环境下基于偏好的资源公平分配策略

资源分配策略是云计算领域的一个重要研究热点,其主要目标是同时考虑云用户和云提供商双方的利益,有效满足系统用户和任务的公平性,同时尽可能达到系统资源的充分利用。考虑到云环境中的用户需求各异,每个用户的任务请求数量不同,各个任务的资源需求也不同,设计了一种基于偏好的公平分配策略FABP,并给出了用户优先级和任务优先级的定义。实验分析表明,该算法不仅能缩短平均任务调度时间,而且还可以保证任务调度过程中用户和任务的公平性,实现综合资源利用率的最大化。

A fair resource allocation strategy based on preference in cloud environment

Resource allocation strategies are an important research hotspot in cloud computing. How to consider the benefits of both cloud users and cloud providers, effectively meet the fairness requirement of system users and tasks, and make full use of system resources as much as possible are the main objectives. Considering the diverse user requirements in the cloud environment, each user requests a different number of tasks, and the resource requirements of each task are also different, we design a fair allocation strategy based on preference (FABP) and define the concepts of user priority and task priority. Experimental results show that the algorithm can not only reduce the average task scheduling time, but also ensure the fairness of users and tasks and maximize the utilization of comprehensive resources.