Agent space architecture for search engines

The future of computing is moving from individual processing units to communities of self organizing agents. In This work we propose an agent and network based architecture for parallel and distributed computing called agent space architecture. Our architecture builds upon the notions of agent and object space and utilizes multicast networks. The building blocks for our proposed architecture consist of an active processing unit called agent, a shared place for communication called space, and a communication medium called multicast network. One unique feature of our architecture is that we extend the concept of object space to become an active space. Our active space functions as a rendezvous, a repository, a cache, a responder, a notifier, and a manager of its own resources. The organization of our architecture is as general as network topology. Any number of agents, spaces, or networks can be added to achieve high performance. It is as scalable as Ethernet and adding agents or spaces is as easy as plug and play. High availability and fault tolerance is achieved through multiple agents, spaces, and networks. All these features are particularly beneficial for challenging applications such as search engine, which is used as a test case to implement and to test our proposed architecture.