Mathematical and Software of the Distributed Computing System Work Planning on the Multiagent Approach Basis

摘要

Organization of planning of large systems is a complex process that requires considerable time resources. The presence of several service centers, a large number of works, severe restrictions on resources - all this necessitates the development of mathematical, algorithmic and software solutions for this problem [1, 9-12]. Due to the possibility of parallelization most operations, the most effective way of solving this problem is to develop a distributed system whose components would perform separate operations planning. The use of distributed systems in relation to the problem of scheduling is rarely used. Almost all types of data problems are different NP-complete, and require significant time costs for its decision. This process is iterative, and each operation plan, for example, for a particular machine. In this regard, for large systems with a huge number of works it is advisable to parallelize some calculations and use the theory of multi-agent systems for the organization of the planning work with multiple machines. The article is one of the variants of mathematical and software scheduling distributed computing systems based on multi-agent approach.