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基于蚁群算法的遥感影像传输资源调度方法
  • 摘要

    针对遥感影像数据量大,多用户并发请求造成服务器负载加重,使遥感影像传输效率逐渐降低的问题,提出一种在多线服务器环境下分块调度遥感影像资源的策略.该策略采用改进的蚁群优化(IACO)算法,通过引入一个线路等待因子γ动态选择当前最优的线路进行传输,从而提高传输效率.对IACO、ACO、Max-min、Min-min和Random算法进行了对比实验,IACO算法在客户端的任务完成时间和服务器端的执行时间与其他算法相比均是最少的,且随着任务数目的增加,效果更明显;同时IACO算法的线路资源的利用率也更高.仿真结果表明:多线服务器分块调度策略与改进蚁群算法相结合,使遥感影像传输速度和线路资源利用率均有一定提高.

  • 作者

    刘万军  王晓宇  曲海成  孟煜  姜庆玲  LIU Wanjun  WANG Xiaoyu  QU Haicheng  MENG Yu  JIANG Qingling 

  • 作者单位

    辽宁工程技术大学软件学院,辽宁葫芦岛,125105/辽宁工程技术大学软件学院,辽宁葫芦岛125105;哈尔滨工业大学电子与信息工程学院,哈尔滨150006/铁岭师范高等专科学校工学院,辽宁铁岭,112008

  • 刊期

    2014年11期 ISTIC PKU

  • 关键词

    遥感  资源调度  蚁群优化算法  多线服务器  资源利用率  remote sensing  resource scheduling  Ant Colony Optimization (ACO) algorithm  multi-line server  resource utilization 

参考文献
  • [1] Anna Gorbenko,Vladimir Popov. Task-resource Scheduling Problem. 国际自动化与计算杂志(英文版), 2012,4
  • [2] BLASCHKE T. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 2010,01
  • [3] SHI L;CHEN H;SUN J. vCUDA:GPU-accelerated highperformance computing in virtual machines. IEEE Transac tionson Computers, 2012,06
  • [4] BALSEIRO S R;LOISEAU I;RAMONET J. An ant colony algorithm hybridized with insertion heuristics for the time dependent vehicle routing problem with time windows. Computers & Operations Research, 2011,06
  • [5] GHAFURIAN S;JAVADIAN N. An ant colony algorithm for solving fixed destination multi-depot multiple traveling salesmen problems. Applied Soft Computing Journal, 2011,01
  • [6] NYGREN E;SITARAMAN R K;SUN J. The Akamai network:a platform for high-performance Internct applications. ACM SIGOPS Operating Systems Review, 2010,03
  • [7] LU Y;XIE Q;KLIOT G. Join-Idle-Queue:a novel load balancing algorithm for dynamically scalable Web services. PERFORMANCE EVALUATION, 2011,11
  • [8] GAWANDE D S;DHARMIK R C;PANSE C. A load balancing in grid environment. International Journal of Engineering Research and Applications, 2012,02
  • [9] FILIPOVIC V. Fine-grained tournament selection operator in genetic algorithms. COMPUTING AND INFORMATICS, 2012,02
  • [10] LEE Y C;ZOMAYA A Y. Energy efficient utilization of resources in cloud computing systems. The Journal of Supercomputing, 2012,02
  • [11] VALDEZ F;MELIN P;CASTILLO O. An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms. Applied Soft Computing Journal, 2011,02
  • [12] COSSELL S;GUIVANT J. Concurrent dynamic programming for grid-based problems and its application for real-time path planning. Robotics and Autonomous Systems, 2014,06
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