• DocumentCode
    466825
  • Title

    Study on Heuristic Algorithm for Dynamic Scheduling Problem of Earth Observing Satellites

  • Author

    Wang Jun-Min ; Li Ju-Fang ; Tan Yue-jin

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha
  • Volume
    1
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    9
  • Lastpage
    14
  • Abstract
    Earthserving Satellites are traditionally scheduled in a static way. It assumes that the information about the problem is complete and the environment is static. In practice, the satellites are working in a complex environment, faced with different uncertainties and perturbations such as unforeseen cloud cover, unanticipated changes in satellite resources, or arriving of new tasks. It is then necessary to schedule the Earth Observing Satellites in a dynamic way. On the basis of detailed analysis of these dynamic factors, we describe the problem with a unified form of inserting new tasks. Considering the characteristic of the dynamic scheduling problem of Earthserving Satellites in this paper, we propose a rule-based heuristic algorithm, and design a heuristic rule of max-contention for retraction and a heuristic rule of min-occupation for insertion. Finally, an example is given to validate the algorithm. Numerical results indicate that this algorithm can guarantee both efficiency and stability of the schedule.
  • Keywords
    artificial satellites; dynamic scheduling; heuristic programming; knowledge based systems; Earth Observing Satellite; dynamic scheduling; max-contention; min-occupation; rule-based heuristic algorithm; Algorithm design and analysis; Artificial satellites; Clouds; Dynamic scheduling; Earth; Heuristic algorithms; Scheduling algorithm; Software engineering; Stability; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.128
  • Filename
    4287465