云计算环境下任务调度研究综述

Review of Task Scheduling Research in Cloud Computing

云计算是一种新的商业计算模型。将计算任务分布在大量计算机构成的资源池上,使各种应用系统能够根据需要获取计算资源、数据资源、存储资源和应用服务资源等。大数据时代,云计算的另一个特点是其将处理大规模的任务。如何实现在满足用户Qo S的前提条件下,对海量任务进行高效调度并对大量云资源进行合理的分配,使得云任务占用尽量少的云资源是云计算领域的一个研究热点。主要论述了云计算环境下任务调度的目标和新特性,分析总结了云计算任务调度的研究现状并以调度目标为侧重点归纳总结了四类调度策略,即侧重性能的调度、侧重服务质量的调度、侧重经济原则的调度和侧重能耗优化的调度,给出了云任务调度的研究展望,为下一步更深入的研究指出方向。

Cloud computing is a new business computing model. It distributed computing tasks in a large resource pool con- sisting of many computers, make a variety of applications can obtain computing resources, data resources, storage resources and application services and other resources as needed. Big Data era, another characteristic of cloud computing is that it will deal with a massive task. How to achieve massive task for efficient scheduling and rational allocation of cloud resources under the precondition user QoS, making the task of occupying as little cloud computing resources as possible is a research hotspot. The paper discusses the objectives and new features of task scheduling under the cloud computing environment , analyzes and summarizes the research status of cloud computing task scheduling and summarizes four scheduling policy ac- cording to schedule objectives. Simuhaneously, the paper gives prospect of cloud task scheduling for the next direction of more in -depth study noted.