An algorithm of task scheduling in survivability

  • Authors:
  • Liangxun Shuo;Jinhui Zhao;Lijie Yin;Xuehui Wang

  • Affiliations:
  • Network Information Security Laboratory, Shijiazhuang University of Economics, Shijiazhuang, China;Network Information Security Laboratory, Shijiazhuang University of Economics, Shijiazhuang, China;Network Information Security Laboratory, Shijiazhuang University of Economics, Shijiazhuang, China;Foundation Department, Shijiazhuang Vocational College of Industry and Commerce, Shijiazhuang, China

  • Venue:
  • AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

The task scheduling of real-time tasks request is an important component of survivability system. In survivability system, how to schedule real-time tasks to meet the needs of various services at different levels is one of the important topics in survivability research. A task scheduling algorithm is proposed based on optimization decision theory of variable fuzzy set, which apply optimization model of variable fuzzy set to assess the priority of each task, and take relative membership degree as priority to schedule task. Taking FIFO scheduling algorithm as the benchmark, the performance of proposed algorithm is analyzed from two aspects: weighted guarantee ratio and differentiated guarantee ratio.