Paper Info
Title
A Study and Performance Evaluation of the Multi-Tenant Data Tier Design Patterns for Service Oriented Computing.
Abstract
Multi-tenancy is one of key characteristics of the service oriented computing especially for Software as a Service (SaaS) to leverage economy of scale to drive down total cost of ownership for both service consumer and provider. This paper aims to study the technologies to build a cost-effective, secure and scalable multi-tenant infrastructure, especially in data tier. We first explore all the key implementation patterns of data tier multi-tenancy on aspects of isolation, security, customization & scalability etc. Furthermore, we mainly evaluate the performance of these design patterns on aspects of isolation and security via a series of experiments and simulations. This paper also identifies the potential performance bottlenecks, summarizes corresponding optimization approaches and best implementation practices for different multi-tenant business usage models.
Year
DOI
Venue
2008
10.1109/ICEBE.2008.60
ICEBE
Keywords
Field
DocType
service oriented computing,potential performance bottleneck,different multi-tenant business usage,scalable multi-tenant infrastructure,data tier,key characteristic,design pattern,key implementation pattern,service consumer,multi-tenant data tier design,performance evaluation,data tier multi-tenancy,best implementation practice,economy of scale,object oriented programming,cost effectiveness,hardware,servers,databases,saas,scalability,software architecture,security,economies of scale,multi tenancy,business,software as a service
Software engineering,Computer science,Total cost of ownership,Multitenancy,Software design pattern,Software as a service,Software architecture,Service-oriented architecture,Personalization,Scalability
Conference
Citations 
PageRank 
References 
36
2.25
4
Authors
6
Name
Order
Citations
PageRank
Zhi Hu Wang118917.38
Chang Jie Guo226921.46
Bo Gao322018.80
Wei Sun4869.99
Zhen Zhang5362.25
Wen Hao An6382.62