Cloud Scheduling Algorithm Based on Phase Space Analysis Model

Shuaili WANG

Hunan City University, Yiyang, 413000, China

Abstract: To solve the problem like calculation of migration frequently existing in the cloud computing system,storage migration, backup computing, storage, backup and node failure handling high coupling between nodes operating characteristics, this paper presents analysis model based on phase space cloud scheduling algorithms. This article makes cloud computing system project to phase-space, defining and analyzing the generalized phase space temperature, generalized normalized entropy, generalized gravity, generalized normalized momentum, generalized thermodynamic parameters etc. Taking advantage of thermodynamic principles to establish a cloud computing system phase space analysis model of the basic theoretical framework, taking advantage of phase space analysis model scheduling algorithm for cloud computing cloud computing can be projected to the parameter phase space and momentum phase space. Experimental results show that: the proposed algorithm can effectively make cloud computing system achieve ｌｏａｄ balancing in phase space remain thermodynamically non-equilibrium systems.

Keywords: Projection Analysis Mode; Phase Space; Generalized Temperature; Normalized Momentum