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一种实现动态负载均衡的多机情报并行处理方法 被引量:2

Multi-computer Intelligence Information parallel processing method of dynamic load balance realization
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摘要 为提高C4ISR系统处理战场情报的能力,结合海上信息系统研究,提出了一种满足舰载信息基础设施要求的动态可配置高可用多机情报处理体系结构和并行处理方法。该并行处理方法以一种基于负载均衡原则的情报分片策略为基础,设计了一种动态负载均衡的情报处理算法。算法解决了多机系统在需处理的情报分片内目标数量动态变化时出现的计算节点负载不均衡的问题。实验结果表明,该情报处理方法在降低情报处理时延以及提高并行处理加速比上均有显著改善。 To improve the C^4ISR's battlespace intelligence processing capability, and combined with the study on maritime information system, a dynamically configurable and highly available multi-computer system architecture was proposed that meets the requirements of shipborne information infrastructure and a parallel processing method. Based on the balanced loading principle based intelligence slicing policy, one intelligence processing algorithm with dynamically balanced load was designed. This algorithm solved the problem of unbalanced load on computer nodes that occurred when the number of the targets was processed within one intelligence slicing of the multi-computer system changes dynamically. Experimental results show that this intelligence processing method can obviously reduce the intelligence processing delay and increase the parallel processing acceleration ratio.
出处 《解放军理工大学学报(自然科学版)》 EI 北大核心 2009年第6期523-527,共5页 Journal of PLA University of Science and Technology(Natural Science Edition)
基金 船舶预研基金资助项目(62201070601)
关键词 多机情报处理 体系结构 并行处理方法 分片策略 动态负载均衡 multi-computer intelligence processing architecture of multi-computer system slicing policy scheduling method dynamically balanced load
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参考文献11

  • 1KIMMO KOSKI,JUHA FAGERHOLM. Final report of pilot project for PC clusters [EB/OL]. http:// www. est. fi/metacomputer/pckluster/, 2000.
  • 2陈国良.并行计算--结构、算法、编程[M].北京:高等教育出版社,2000.
  • 3夏学知,涂葵,陈建勋,张子鹤.多传感器数据融合并行处理技术[J].计算机应用,2005,25(8):1815-1817. 被引量:10
  • 4VAIDEHI V, KALAVIDYA K, GANDHI S I. Cluster-based centralized data fusion for tracking maneuvering targets using interacting multiple model algo- rithm [J]. Special Issue of SADHANA on Multi- Source Multi-sensor Information Fusion, An Academic Proceedings in Engineering Science Published by the Indian Academy of Sciences, Bangalore, India, 2004, 29(136): 205-216.
  • 5丁龙,王宝树,乔向东,黄晓安,李光.基于群机并行的数据融合算法设计与实现[J].计算机工程与应用,2001,37(19):92-94. 被引量:9
  • 6ROBERTSON A. Linux-HA Heartbeat System Design[C]. Atlanta: 4th Annual Linux Showcase and Conferenee, 2000.
  • 7PARK J, KIM J. A study on the optimal heartbeat Interval for high available systems[C]. Las Vegas: Proceedings of the International Conference on Paral- lel and Distributed Processing Techniques and Applications, PDPTA' 02, 2002.
  • 8ZHONG H, NIEH J. CRAK: Linux checkpoint/ restart as a kernel module[R], Technical Report CUCS-014-01, New York: Department of Computer Science, Columbia University, 2001.
  • 9DIOT C, DABBOUS W, CROWCROFT J. Multi- point communication: a survey of protocols, functions and mechanisms[J]. IEEE Journal on Selected Areas in Communications, 1997, 15(3): 277-290.
  • 10SHAW M, GARLAND. Software architecture: perspectives on an emerging discipline, upper saddle river [M]. New Jersey: Prentice Hall Inc. 1996.

二级参考文献15

  • 1YinHongyou,XuChengxian.GENERALIZED K-T CONDITIONS AND PENALTY FUNCTIONS FOR QUASIDIFFERENTIABLE PROGRAMMING[J].Applied Mathematics(A Journal of Chinese Universities),1999,14(1):85-89. 被引量:1
  • 2戴自力.现代舰载作战系统[M].北京:兵器工业出版社,1989..
  • 3戴自力.现代舰艇作战系统[M].北京:国防工业出版社,1999..
  • 4DAVIS PB, CATE D, ABIDI MA. Parallel Data Fusion on a Hypercube Multiprocessor[ A]. Processing of SPIE Conference on Sensor Fusion[ C]. Boston, 1990,1383( 11 ): 515 - 529.
  • 5C4I market view[ Z]. C4I FORECAST, 2004.
  • 6VAIDEHI V, KALAVIDYA K, GANDHI SI. Cluster-based centralized data fusion for tracking maneuvering targets using interacting multiple model algorithm[ J]. Sadhana, 2004, 29(4): 205 - 216.
  • 7PEDERSEN C. Architecture and Performance of a Parallel Data-Fusion Multi-Target Tracking Code for Real-Time Applications [ EB/OL]. http://www. softwaretechnews. com/stn4 - 1/datafusion. html, 2003 - 05.
  • 8High Efficiency, Scalable, Parallel Processing Approaches for Multi-Sensor Data Fusion[ Z]. DARPA SB022 - 035, 2002.
  • 9PANKAJ G, GURU P. A scalable portable object - oriented framework for parallel multisensor data-fusion applications in HPC systems[J]. Proceedings of the SPIE, 2004, 5434:295 - 306.
  • 10JAMESON SM. Architectures for Distributed Information Fusion to Support Situation Awareness on the Digital Battlefield[A]. Fourth International Conference on Data Fusion [ C ]. Montreal, Canada,2001.

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