Cloud Scheduling Algorithm based on Phase Space Analysis Model 

Haogui CHEN 

Hunan City University, Yiyang, Hunan, China

Abstract: To solve the problem like calculation of migration frequently existing in the cloud computing sys-tem, 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 al-gorithms. This article makes cloud computing system project to phase-space, defining and analyzing the gene-ralized phase space temperature, generalized normalized entropy, generalized gravity, generalized normalized momentum, generalized thermodynamic parameters etc. Taking advantage of thermodynamic principles to es-tablish a cloud computing system phase space analysis model of the basic theoretical framework, taking ad-vantage 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 pro-posed algorithm can effectively make cloud computing system achieve ｌｏａｄ balancing in phase space remain thermodynamically non-equilibrium systems. 

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