Research On Resource Scheduling Algorithm In Cloud Environment

Since cloud computing came into being, it has become to be the hot spot in information technology field. The application of cloud computing from theory to practice is going on by the decade’s effort of academia and industry. Cloud computing is pooling resources by virtualization technology. Adopting which kind of reso urce strategy organizes and manages these large-scale dynamic resources, then realizes the flexible and efficient distribution resource according to needs is pretty important to cloud computing.Here are sorts of studies about distribution of cloud computing resource:1) It proposed a Hybrid Optimization Algorithm of res ource scheduling: the diversity of cloud computing application and heterogeneity of no de resource will lead to t he cloud computing nodes’ load imbalance in the process of resource providing. It will reduce the efficiency of the integral cloud computing distribution largely. How to coordinate the host computer load by using load balancing mechanism to improve the utilization of resource is an urgent problem at present. With the scale and complexity of cloud computing ’s expanding,tradition algorithm has great limitation in solving problems as resource dis tribution.It pr oposed a Hy brid Optimization Algorithm which combines the ef ficient search of Particle swarm optimization and Pos itive feedback of A nt Colony Algorithm to solve the resource scheduling problem. The results of experiment shows the new algorithm reduced time of reso urce scheduling and lower loads between physical hosts, and improve the efficiency of resource utilization.2) It proposed Dynamic pricing mechanism based on cloud resources trading markets: there are lots of Resource providers and Resource consumers in Cl oud resource trading market. Fixed price can’t meet the current market requirements because of the changing demand and supply. That’s the explanation of resource provider’ lower interest and unbalanced market’s existence. The current Resource scheduling policy maker only focus on meeting people ’s requirements but doesn’t pay enough attention to resource provider’s profit.It proposed Dynamic pricing mechanism based on markets by analyzing the flexibility and dynamic of Cloud resource trading market in this paper, a nd optimized it into dynamic pricing mechanism, the result shows compared to traditional fixed price, the dynamic pricing mechanism optimized by particle swarm could improve resource providers’ profit and trading volume when demand equals supply and demand more than supply.