ANALYSIS OF SOME METHODS FOR TO EVALUATE RELIABILITY FOR CLOUD COMPUTING DATA CENTER NETWORK

Abstract

The explosion of DCN (Data center network) making business activities,
production as well as multimedia services, network applications are increasingly
dependent on it. This requires infrastructure providers to ensure that the data
center network system has high reliability and availability to maintain the
continuity of the system. However, the assessment of reliability and availability
for the system is just limited to investing in equipment and building a hot
backup system. Many studies have offered models for assessing reliability and
readiness for DCN, but these studies just stop at qualitative evaluation. In this
paper, we study and analyze several methods of reliability assessment such as
Reliability Block Diagrams (RBDs), Fault Tree Analist (AFT), Markov Chain (MC)
and Bayes network, based on it applies to assessing the reliability of a typical
DCN architecture. Quantitative assessment of system reliability indicators will
take the useful for both system designers and users.