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A Space-Based Generic Pattern for Self-Initiative Load Balancing Agents

机译:用于自动负载平衡代理的基于空间的通用模式

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Load-Balancing is a significant problem in heterogeneous distributed systems. There exist many load balancing algorithms, however, most approaches are very problem specific oriented and a comparison is therefore complex. This paper proposes a generic architectural pattern for a load balancing framework that allows for the plugging of different load balancing algorithms, reaching from unintelligent to intelligent ones, to ease the selection of the best algorithm for a certain problem scenario. As in complex network environments there is no "one-fits-all solution", also the integration of several different algorithms shall be supported. The presented pattern assumes autonomous agents and decentralized control. It can be composed towards arbitrary network topologies, foresees exchangeable policies for load-balancing, and uses a black-board based communication mechanism to achieve high software architecture agility. The pattern has been implemented and first instantiations of it with three algorithms have been benchmarked.
机译:负载平衡是异构分布式系统中的一个重要问题。然而,存在许多负载平衡算法,然而,大多数方法是非常出面的面向的问题,因此复杂。本文提出了一种用于负载平衡框架的通用架构模式,该架构模式允许插入不同负载​​平衡算法,从未智能到智能算法,以便于为某些问题场景选择最佳算法的选择。与复杂的网络环境一样,没有“单适合 - 所有解决方案”,也应支持几种不同算法的集成。呈现的模式假设自主代理和分散控制。它可以针对任意网络拓扑组成,预见的可交换策略用于负载平衡,并使用基于黑板的通信机制来实现高软件架构敏捷性。已经实现了模式,并将其与三种算法的首先实例化已经基准。

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