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An Adaptive Task Scheduling Method for Networked UAV Combat Cloud System Based on Virtual Machine and Task Migration

Author

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  • Bo Li
  • Shiyang Liang
  • Linyu Tian
  • Daqing Chen
  • Ming Zhang

Abstract

This paper presents a systematic work aiming to improve the efficiency of task processing in a networked UAV combat cloud system. The work consists of three major aspects: (1) an architecture of UAV combat cloud systems—such a system provides the necessary resource pool for powerful computing and storage facilities and defines the attributes of the entities in the resource pool in detail; (2) an online adaptive task redistribution and scheduling algorithm—the algorithm involves task migration being performed on virtual machines on the cloud system and aims to address the problems caused by static task scheduling approaches; and (3) an online virtual machine and task migration algorithm—the algorithm considers collectively the priority type and quantity of the tasks to be migrated on virtual machines along with time constraints to determine the migration of virtual machine or task and optimize resource usages. Experimental simulation results have demonstrated that the proposed system and the relevant algorithms can significantly improve the efficiency of task schedule.

Suggested Citation

  • Bo Li & Shiyang Liang & Linyu Tian & Daqing Chen & Ming Zhang, 2020. "An Adaptive Task Scheduling Method for Networked UAV Combat Cloud System Based on Virtual Machine and Task Migration," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, April.
    • Handle: RePEc:hin:jnlmpe:5391479
    DOI: 10.1155/2020/5391479
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