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针对虚拟实验室的资源调度问题,提出了一种基于服务质量的网格算法.建立了虚拟实验室资源的网格模型,讨论了其特点;分析了虚拟实验室网格的服务质量体系,从可靠性、响应性、成本等6个方面对实验室服务质量进行量化评估,将用户的多任务调度问题描述为服务质量约束下的多任务协同寻优模型,以满足用户服务质量最大化为目标进行求解,并给出了基于遗传算子的求解算法;通过案例分析对本方案的可行性进行了验证和讨论,结果表明本方案有助于提高虚拟实验室资源利用率和服务水平.
Aiming at the problem of resource scheduling in virtual lab, this paper proposes a grid algorithm based on quality of service, establishes a grid model of virtual lab resources and discusses its characteristics, and analyzes the service quality system of virtual lab grid from Reliability, responsiveness, and cost. The multi-task scheduling problem of users is described as a multi-task cooperative optimization model under the constraint of service quality, which aims to maximize the quality of service of users The solution is given based on genetic operator. The feasibility of the scheme is verified and discussed through case analysis. The results show that the scheme can help to improve the resource utilization rate and service level of virtual laboratory.