Abstract
Rapid advances in the areas of computing, sensing, and communications have enabled vehicle manufactures to provide new features for vehicles to enhance safety, pleasure, convenience, and reliability. Moreover future vehicles are expected to become a part of the Internet, either as a network node, or as a hub constructing a vehicular ad hoc network. This vehicular ad hoc network represents large dynamic distributed processing systems. These vehicles communicate with each other and with the Internet, to access services such as traffic conditions, finding nearest hospital, remote monitoring, etc. To accomplish this type of services, new methodology will be needed such as Dynamic Discovery Service. Dynamic Discovery Service is a system in which servers search through lookup services to first discover and then register the service they offer in the lookup service as a proxy.This research proposes Dynamic Discovery Service-based Jini architecture. A Dynamic Discovery Service (DDS)-based Jini system is a distributed environment where services and devices can participate to offer resources to other members of the community. To be efficient DDS-based Jini, system should be evaluated in terms of scalability, latency, bandwidth usage. This paper will examine the scalability of the lookup service mechanisms in terms of lookup latency as well as generated network traffic. Specifically, the experiments examined the lookup response time as a function of increasing number of services registered, and increasing lookup nodes, all in a static environment as well as the lookup response time in a dynamic environment.