Title :
A modeling reliability analysis technique for cloud storage system
Author :
Rui Zhang ; Chuang Lin ; Kun Meng ; Lin Zhu
Author_Institution :
Tsinghua Univ., Beijing, China
Abstract :
Cloud storage system can reshape the way how kinds of contents are generated, stored and distributed on today´s Internet. It is intriguing to study the service provision of cloud storage system for the sake of providing global users with satisfactory service. This paper conducts modeling analysis of a cloud storage system, and proposes a Markov decision process modeling framework to analyze the reliability of the storage system. Based on the modeling analysis, the optimal strategy can be got after executing two solution algorithms. By incorporating these techniques into cloud storage system design, the authors can significantly improve the replication performance and reliability of the system in this paper. Our numerical results further demonstrate the effectiveness and superiority of our technique against traditional static approaches.
Keywords :
Markov processes; cloud computing; storage management; Internet; Markov decision process modeling framework; cloud storage system design; content distribution; content generation; content storage; modeling analysis; reliability analysis technique; replication performance; service provision; storage system reliability; Analytical models; Cloud computing; Heuristic algorithms; Markov processes; Mathematical model; Reliability; Cloud storage system; Markov decision process; Reliability;
Conference_Titel :
Communication Technology (ICCT), 2013 15th IEEE International Conference on
Conference_Location :
Guilin
DOI :
10.1109/ICCT.2013.6820346