Elsevier

Procedia Computer Science

Volume 29, 2014, Pages 2168-2181
Procedia Computer Science

Multi-tenant Elastic Extension Tables Data Management

https://doi.org/10.1016/j.procs.2014.05.202Get rights and content
Under a Creative Commons license
open access

Abstract

Multi-tenant database is a new database solution which is significant for Software as a service (SaaS) and Big Data applications in the context of cloud computing paradigm. This multi-tenant database has significant design challenges to develop a solution that ensures a high level of data quality, accessibility, and manageability for the tenants using this database. In this paper, we propose a multi-tenant data management service called Elastic Extension Tables Schema Handler Service (EETSHS), which is based on a multi-tenant database schema called Elastic Extension Tables (EET). This data management service satisfies tenants’ different business requirements, by creating, managing, organizing, and administratinglarge volumes of structured, semi-structured, and unstructured data. Furthermore, it combines traditional relational data with virtual relational data in a single database schema and allows tenants to manage this data by calling functions from this service. We present algorithms for frequently used functions of this service, and perform several experiments to measure the feasibility and effectiveness of managing multi-tenant data using these functions. We report experimental results of query execution timesfor managing tenants’ virtual and traditional relational data showing that EET schema is a good candidate for the management of multi-tenant data for SaaS and Big Data applications.

Keywords

Cloud Computing
Software as a Service
Big Data
Elastic Extension Tables
Multi-tenant Database
Relational Tables
Virtual Relational Tables.

Cited by (0)

Selection and peer-review under responsibility of the Scientific Programme Committee of ICCS 2014.