Date of Award

2014

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

Committee Chair

Feng Zhu

Committee Member

Letha Etzkorn

Committee Member

Harry S. Delugach

Subject(s)

Client/server computing., Computer interfaces., Embedded computer systems--Programming., Computer network architectures.

Abstract

In this thesis we look at the issue of properly comparing the major service discovery technologies. Relying on a theoretical comparison to make a decision on which service discovery technology to integrate with for service vendors or clients is not sufficient enough. There is quite a bit of research involved in order to read all the documentation on a technology and it's rare that you can find constructive criticism or issues mentioned by the technology manufacturer. Another issue is to know how much of a coding effort is involved in integrating a client and/or service application with a service discovery technology. Finally, we examine what to do when none of the major service discovery technologies offer all the capabilities that a service vendor or client is looking for. We break down the service discovery into its major components and then give an in-depth analysis of three major service discovery technologies, i.e., Bonjour, Jini, and UPnP, by comparing how they perform for each component. Next, we provide a practical hands-on analysis to demonstrate the coding effort involved to integrate clients/services with each of the service discovery technologies. Finally, we present an alternative service discovery design which merges the robust capabilities of all three technologies along with adding a filtering capability. This thesis allows service vendors and clients to make a practical hands-on comparison of the three major service discovery technologies, so that they make a well informed decision on which of the technologies to integrate with. If each of these technologies fail to meet all the requirements for a service or client, we presents a design for a new service discovery technology which contains all the robust capabilities of the three technologies merged into one while adding an extra event filtering capability.

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