Performance evaluation of distributed object hybrid storage systems for smart-living applications

Abstract

This paper aims to evaluate the data storage performance with hybrid storage. In large scale smart-living applications, data require a smart and efficient manner to store daily living information. 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. It is usually specifically used to refer to either a distributed database where users store information on a number of nodes, or a computer network in which users store information on a number of peer network nodes. In this paper, we focus on the performance evaluation of object data store behaviors on different types of storage. The evaluated result can provide good guideline for design of distributed object storage systems.