负载均衡是特大型科技(工程)项目异构组织知识集成云计算网络空间联盟进行异构平台之间知识资源最优化配置的关键问题,其解决机制将会极大地影响异构组织知识的有效性、准确性、时效性,大大提高了异构组织众多相关干系人利益相关者间的知识共享。本文基于蚁群优化算法,结合复杂动态环境下特大型科技(工程)项目异构组织知识的特征和知识需求,构建了复杂动态环境下特大型科技(工程)项目异构组织知识集成云计算网络空间联盟负载均衡机制,基本实现了知识载荷的均衡状态,以及异构组织知识资源最优化配置,提高异构组织知识的实效性。
Abstract
Load balancing is the key issue for knowledge resource optimal allocation among heterogeneous platforms in cloud computing network spaced strategic alliance for knowledge integration of extra large-scale S&T (engineering) project heterogeneous organization, and its settlement mechanism will definitely influence the knowledge effectiveness, accuracy and timeliness in heterogeneous organizations, which will improve the knowledge sharing among stakeholders in heterogeneous organizations. Based on the ant colony optimization algorithm, this paper has, in combination with the knowledge characteristics and requirements in heterogeneous organizations of extra large-scale S&T (engineering) projects, constructed the load balancing mechanism of cloud computing network spaced strategic alliance for knowledge integration of extra large-scale S&T (engineering) project heterogeneous organization under complex and dynamic environment, and generally reached the balancing condition of knowledge load and the optimal allocation of knowledge resources in heterogeneous organizations, improving the effectiveness of knowledge in heterogeneous organizations.
关键词
复杂动态环境下 /
特大型科技(工程)项目 /
异构组织 /
知识集成 /
云计算网络空间联盟 /
负载均衡机制
Key words
under the complex and dynamic environment /
extra large-scale S&T (engineering) project /
heterogeneous organization /
knowledge integration /
cloud computing network spaced strategic alliance /
load balancing mechanism.
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 李登.分布式系统负载均衡策略研究,中南大学硕士学位论文.计算机应用技术,2002.
[2] 黄挚雄,张登科,黎群辉.蚁群算法及其改进形式综述[J].计算技术与自动化,2006.
[3] 刘仁婷.基于蚁群优化的自组网负载均衡路由技术的研究[J].硕士学位论文,电子科技大学,2003.
[4] 蔡猷花,陈国宏.知识集成研究综述[J].研究与发展管理,2010(6).
[5] 佟泽华,韩春花.动态环境下的企业知识集成模型研究[J].科学学研究,2012(4).
[6] 喻芸.网络负载均衡问题的对策和建议[J].科技广场,2008(3).
[7] 陶军,顾冠群.基于移动代理的蚂蚁算法在QOS路由选择中的应用研究[J]. 计算机研究与发展,2003,40(2):180-186.
[8] R.Beckers, J. L. Deneubourg, et al. Trials and U-turns in the selection of a path by the ant lasius niger[J]. In J. theor. Biol. 159:397-415.
[9] A. Montresor, H. Meling, O. Babaoglu. Messor: Load-Balancing through a swarm of autonomous agents. Proc. of 1st Int. Workshop on Agents and Peer-to-Peer Computing, 1st ACM Int. Joint Conf. on Autonomous Agents and Multi-Agent Systems, 2002.
[10] R. Schoonderwoerd, O. Holland, and J. Bruten. Ant-like agents for load balancing in telecommunications networks.Proc of Agents 1997, 1997.
[11] Von Krogh G, Nonaka I, Aben M. Making the most of your company's knowledge:a strategic framework[J]. Long Range Planning. 2001.
[12] Nonaka I. A Dynamic Theory of Organizational Knowledge Creation. [J] Organization Science. 1994.
[13] J. Liu, X. Jin and Y. Wang. Agent-based load balancing on homogeneous minigrids: macroscopic modeling and characterization[J]. IEEE Transactions on Parallel and Distributed Systemes, 2005(16):586-598.
[14] Vaquero L M, Rodero-Merino L, Caceres J et al, A break in the clouds: Towards a cloud definition[J]. ACM SIGCOMM Computer Communication Review. 2009.
基金
国家自然基金项目(70972123),项目名称:复杂动态环境下特大型工程项目过程管理综合集成研讨厅中组织知识集成优化管理和实证研究,起止时间:2010-2012年;国家自然基金项目(71271031),项目名称:基于最优控制理论的大型工程安全风险预警指标体系构建及控制与实证研究,起止时间:2013-2016年;国家软科学研究计划(2012GXS2B012-02),项目名称:国家科技重大专项创新型项目管理支撑理论及集成与协同管理模式研究,起止时间:2012年9月-2014年3月;教育部人文社科规划基金项目(09YJA630011),项目名称:基于动态微分博弈理论的重大(特大)型工程应急决策模型和实证研究,起止时间:2010-2013年。
