Design of intelligent scheduling system for IT operation and maintenance services considering task duration

Abstract

Aiming at the high cost of existing IT operation and maintenance services, an intelligent scheduling system based on task duration was designed. By studying the separable task scheduling in a homogeneous system environment, for a homogeneous star network, comparative analysis of the relationship between the busy state to the idle state, the continuous transmission of transmission tasks, the release time of mixed timing constraints and the time of receiving tasks, is used to This builds a separable task scheduling model. The genetic algorithm is used to optimally solve the scheduling model. Considering the existence and universality of heterogeneous platforms in the actual parallel and distributed system environment, the task scheduling situation of the processor in the heterogeneous star network environment is researched and analyzed. . According to the mixed timing constraints, a task scheduling optimization model in a heterogeneous system environment is constructed, and the genetic algorithm is improved to solve the problem. Due to the enlargement of the problem search space, the local search operator is used to converge the algorithm. The results show that compared with several existing scheduling algorithms, the algorithm proposed in this paper can obtain a better scheduling scheme, so the designed intelligent scheduling system is practical.