Analytical Model for Data Consistency on Private Cloud Storage System

Abstract

Cloud computing paradigm contains many shared resources such as infrastructures, data storage, various platforms and software. In cloud storage service, consistency not only influences the performance and availability of the systems but also the overall operational cost. This paper is proposed an analytical model using MM1 queuing for data consistency on private cloud storage system to evaluate the discarding probability based on update requests to handle update conflict. After updating data, replicas can be active or inactive in the system. In this paper, Markov Chain is applied for a replica to improve the readability and consistency of storage on the cloud environment.