A multi-agent-based model for distributed system processing

Abstract

Distributed systems have several challenges related to large datasets and numerous communication channels, and it is desirable to design systems that optimize the quality of services within the system and improve throughput to come up with the optimal result. In this paper, we present a model for multiagent system for distributed processing of tasks, where the processes continue to operate despite network disconnection and incomplete data sources' availability. The model provides a more reliable and cost-effective means of distributed processing.