群智能算法在云呼叫中心动态负载均衡中的应用

Vesna Šešum-Čavić, E. Kühn
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引用次数: 21

摘要

负载均衡是异构分布式系统中的一个重要问题。如今,我们面临着计算机系统及其复杂性的极端增长,需要先进的智能解决方案来实现负载平衡,从而实现自主自组织的基础设施。仍然需要证明真实的用例可以从self-*方法中获益。我们为这样的基础设施开发了一种称为SILBA的模式,这种基础设施基于分散控制、用于负载平衡的智能和可交换策略以及基于黑板机的通信机制。不同类型的算法(智能和非智能)被插入到SILBA中。在本文中,我们提出了一个特殊的用例——在云环境中操作的呼叫中心。
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Applying Swarm Intelligence Algorithms for Dynamic Load Balancing to a Cloud Based Call Center
Load-Balancing is a significant problem in heterogeneous distributed systems. Nowadays we face an extreme growth of computer systems and their complexities requiring advanced intelligent solutions for load-balancing that lead to autonomic self-organizing infrastructures. There is still a need to prove that real use cases can benefit from self-* approaches. We developed a pattern, called SILBA, for such an infrastructure based on decentralized control, intelligent and exchangeable policies for load-balancing, and black-board based communication mechanisms. Different types of algorithms (both intelligent and unintelligent) were plugged into SILBA. In this paper, we present one particular use-case – a Call Center that is operated in a Cloud environment.
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