Research Of Cloud Computing Resource Scheduling Method Based On Operation Pattern

Cloud computing is an important subject of network resource developmentin the future. Its core idea is to constitute a pool of computing resource by usingnetwork resource to provide on-demand service to users. It has obviouscommercial characteristics, which makes the principles of economic are verysuitable for cloud computing resource scheduling. In addition, in the cloudcomputing environment, the role of users has been enhanced, so users’ needsshould be sufficiently considered when the scheduling strategy is developed.Based on this, in this paper, it investigates a cloud computing resourcescheduling method based on operation pattern. The method combines theprinciples of economic and users’ needs by using the concept of operation pattern.It is able to improve users’ satisfaction. The main contents are as follows:Firstly, it introduces some major cloud computing resource schedulingmethods. It focuses on a network resource scheduling method based on principlesof economic.Secondly, it discusses the scheduling model of cloud computing resourceand introduces the concept of operation pattern. By analyzing the needs of users,it tries to combine the principles of economic and trust to develop a user-centricscheduling strategy. And then the frame diagram of decision-making and theflowchart of main program are given. Based on this, it investigates a cloudcomputing resource scheduling algorithm based on operation pattern.Finally, considering cloud computing has the characteristic of huge scale, itutilizes a conversion idea of the subset-tree algorithm to design the cloudcomputing resource scheduling algorithm based on operation pattern. And then inthe VC++6.0platform, the scheduling algorithm is realized by the C language. Inaddition, it conducted experiments to check this algorithm. The results show that users will reasonably affect scheduling decision-making, which makes thescheduling scheme can meet their needs well. The algorithm efficiency is highand it is suitable for cloud computing resource scheduling.The algorithm considers the three factors of the time, cost and trust. It canmeet the user’s demand for the cost of the economic costs and risks to maximizethe users’ individual utility. The most important feature of this algorithm is that itcan combine principles of economic and users’ needs through schedulingdecision-making.