[Critical Evaluation on Multitenant Architectures in Enterprise Level SaaS Applications]

By

Abstract

Recently, considerable attention has been recieved by cloud computing because it is a novel infrastructure of computing ofr enabling swift delivery of computing resources as a utility in a scalable, dynamic, and visualized manner. Software as a Service (SaaS) provide a now paradigm in cloud computing, which goal is to provide an effective and intelligent way to support end users' on-demand requirements to computing resources, including maturity levels of customizable, multi-tenancy and scalability. To meet requirements of on-demand, my thesis discusses several critical research problems and proposed solutions using real application scenarios:

Service providers receive multiple requests from customers, how to prioritize those service requests to maximize the business values is one of the most important issues in cloud. An innovative prioritization model is proposed, which uses different types of information, including customer, service, environment and work flow information to optimize the performance of the system. To provide “on-demand” services, an accurate demand prediction and provision become critical for the successful of the cloud computing. An effective demand prediction model is proposed, and applied to a real mortgage application.

As a summary, this thesis discusses the most important research problems in cloud computing, towards effective and intelligent SaaS. The research in this thesis is critical to the development of cloud computing and provides fundamental solutions to those problems.

Table of Contents

ABSTRACTII

CHAPTER 2: LITERATURE REVIEW (CONT.)1

Background of Cloud Computing1

CHAPTER 5: SYSTEM DESIGN9

Theory Research about Multi-Tenant Application System10

Related Work17

Proposed Architecture18

Databases19

Preallocated Field23

Web Service Interface24

Application logic flow25

Application Pooling26

Proposed Solution Architecture27

From A Single Business Model To Dynamic Subscription Model30

From Web applications to SaaS applications32

CHAPTER 6: SYSTEM PROTOTYPE IMPLEMENTATION35

Multi-Level Customization Strategy38

Logical View of Multi-Level Customization39

Data Storage Architecture40

Data Storage General Architecture41

Common Mapping Schemas42

Extension Tables43

Sparse Columns43

Performance Optimization45

Gap and Requirements Analysis Of Multi-Tenant Database47

Low Cost47

Isolation of Security48

Flexibility49

Availability and Scalability51

Framework Architecture of Multi-tenant Database51

Components of Multi-tenant Database Framework52

Multi-Tenant Database Enablement Technology53

Large Scale Scalability55

Performance Optimization56

Chapter 2: Literature Review (Cont.)

Background of Cloud Computing

The term cloud principally refers to the storage of the data of a user to a storage system (offsite), which a third party maintains. This implies that rather that storing information on the computer hard disk of the user or different devices for storage, clients would store it in a remote database for which the internet offers the link amid the remote database and that user's computer. Within the cloud the computers are placed together for working simultaneously and the numerous applications utilize the mutual computing power as if they are operating on a cloud utilizing the virtualization concept. Customers, within this model, plug into the cloud for accessing resources of information technology that are offered and priced on-demand. Fundamentally, resources of information technology are shared and rented amongst numerous tenants such as storage spaces, office space and apartments are utilized by tenants. Conveyed over a connection of the internet, the server or data center of the company is eliminated by the cloud. Services of cloud computing like Google App Engine and Amazon EC2 are crafted for taking benefit from their respective company's ...