Research on Resource Scheduling Algorithm in Cloud Computing Data Center

Yi Zhang; Yi Min Su

doi:10.4028/www.scientific.net/AMR.926-930.2050

Paper Titles

Research on MAMSK and OOFDM Technology in Optical Fiber Communication System
p.2034

Research on Modeling and Performance of Steering Operating System
p.2038

Research on Multi-Objective Reservoir Optimal Operation Based on Adaptive Genetic Algorithms
p.2042

Research on Network Security and Identity Authentication
p.2046

Research on Resource Scheduling Algorithm in Cloud Computing Data Center
p.2050

Research on Simulation Customers Participate Type in Open Innovation
p.2054

Research on Small and Micro Enterprise Information Integration Applications Based on SOA
p.2058

Research on the Application of Network Language in Information Technology Time
p.2062

Research on the Copyright Protection and Information Sharing in the Network Publishing
p.2066

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Research on Resource Scheduling Algorithm in Cloud...

Research on Resource Scheduling Algorithm in Cloud Computing Data Center

Abstract:

In recent years, with the rapid development of Internet and virtualization technology, cloud computing, which providing users with on-demand services, has become a research hotspot. Under the environment of cloud computing, the datacenter, consisted by hardware and software, is a loosely coupled resource sharing architecture. The existing cloud computing's inadequacies are as following three aspects: 1. For lacking of real adequate and effective transaction of global bidirectional-way selection, the revenue of most of cloud resource provider is too low. 2. Since not fully considering the scheduling of multi-dimensional cloud resources, existing cloud computing's utilization for multi-dimensional cloud resource is too low. 3. Because existing cloud datacenter does not fully consider the energy consumption of communication between the cloud tasks, its energy consumption is too high. Resource scheduling is a major research direction of cloud computing. First, we make a in-depth investigation and analysis of the research status of cloud computing resource scheduling, and then focus on resource scheduling method to reduce the energy consumption of cloud computing data center. Finally we set an important future research direction of cloud computing resource management research in order to provide a useful reference for cloud computing research.