Modeling and Implementation of Distributed Environment Based on Pi-Calculus and Agent

The structure of distributed communication systems often changes. How to effectively use distributed resources has become the current mainstream research direction. Traditional programming languages usually use Socket communication when implementing parallel computing. When the network topology changes, the code needs to be redeployed. This paper uses Pi-calculus and Agent to solve this problems of parallel computing in distributed communication systems. Pi-calculus is a formal modeling tool for describing concurrent systems. Intelligent agent can be migrated autonomously. A Distributed Multi-Agent (DMA) model suitable for distributed environments was proposed. The model is applied to Critical Path On a Processor (CPOP) algorithm of the distributed task scheduling algorithm, and is implemented using the nPict programming language and the traditional C++ language. By comparing the efficiency of the two methods, it shows that the combination of Pi-calculus and Agent technology is efficient and the advantage of nPict over C++ programming language.