Scalable home network interaction model based on mobile agents

Cyber apartment is a home network consisting of hundreds of homes and/or offices. In this home network system, hundreds of processes are simultaneously instantiated. In such a case, a home gateway that connects one home network with other home networks results in a bottleneck. To solve this problem, the remote interactions and network load between home networks must be reduced. We propose the use of mobile agents, referred to as a remote service integration agent and a content adaptation agent, in order to reduce the remote interactions and the network load, respectively. We show that our mobile agent models are effective methods for a scalable home network through a comparison with a traditional client server model.