Fujun Wan
ABSTRACT
In the era of data explosion, with the rapid development of Internet information technology and the gradual expansion of enterprise scale, most enterprises need to have their own task scheduling system to deal with a variety of complex data business work. More of them are scheduled tasks, driving vehicles road rescue services. In the past, the task requirements were relatively simple, and the deployment of a single server node could complete the scheduling. However, with the increasing application requirements of scheduled data services, the requirements of many scheduling systems have also increased. In the face of large-scale task requirements, single-server scheduling is slow in processing efficiency, prone to single point of failure and serious resource contention. Therefore, a multi-server cluster distributed task scheduling system is needed, and the subsequent problem is how to implement the on-line scheduling of tasks, the triggered execution of tasks, the abnormal error correction of tasks and the security management of the system. Based on this, this paper establishes a mixed integer programming model considering job conflict for road rescue operation scenarios, and adopts static scheduling to design a dynamic task chain based simulated annealing algorithm to optimize the solution of the model, and verifies the effectiveness of the algorithm through simulation and comparison with other algorithms.
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Index Terms
- Design and Research of Road Rescue Service Monitoring System Based on Driving Vehicles
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