A Scalable PC Cluster-based Cloud Storage System with Binary Weighted Tree Approach

Abstract

The need and use of scalable storage on cloud has rapidly increased in last few years. Organizations need large amount of storage for their operational data and backups. To address this need, high performance storage servers for cloud computing are the ultimate solution, but they are very expensive. Therefore we propose efficient cloud storage system by using inexpensive and commodity computer nodes. These computer nodes are organized into PC cluster as datacenter. Data objects are distributed and replicated in a cluster of commodity nodes located in the cloud. In the proposed cloud storage system, the PC cluster is logically organized as a binary weighted tree. It supports the weighted allocation of data objects and scalability. Moreover, it can be seen from theoretical analysis that the proposed system is able to scale and can adjust replica numbers according to failure probability and availability.