Cost-Aware Software-Defined Hybrid Object-Based Storage System

Abstract

Object-based storage is a storage architecture that manages data as objects, as opposed to other storage architectures like file systems which manage data as a file hierarchy and block storage which manages data as blocks within sectors and tracks. In general, each object typically includes the data itself, a variable amount of metadata, and a globally unique identifier. Object storage seeks to enable capabilities not addressed by other storage architectures such as data replication and data distribution at object-level granularity. A distributed data store is a computer network where information is stored on more than one node, often in a replicated fashion. Recently, there are many excellent researches target on energy aware, performance-aware, and trade-of on cloud storage. However, less on the scheduling on the cost-efficient designs. This paper, aims to evaluate the data storage performance with hybrid storage. We try to provide a cost-aware scheme for tier-based hybrid storage. Our scheme can provide a proper placement for data. Thus, users and venders can use lower cost to get the performance that they need.