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Collaborative Load-Balancing in Storage Networks Using Agent Negotiation

机译:使用代理协商的存储网络中的协作负载平衡

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The rapid advances in the computer industry allow building larger systems that require mass storage volumes. As storage space increases, its management becomes increasingly difficult. In contemporary enterprise storage systems, performance has developed into a major bottleneck, which negatively affects the overall IT performance. Centralized solutions are often infeasible and thus a distributed solution should be sought. Our novel approach involves incorporating intelligent agents to the storage system, allowing the utilization of a distributed negotiation scheme between agents that act on behalf of the clients who require storage and on behalf of the storage servers within the system. Using a simulation environment which models real settings of a large storage network, we demonstrate the benefits of applying our distributed solution in the storage management domain in terms of client satisfaction, servers' revenue, and overall system performance. Our results show a significant improvement in storage performance when this solution is implemented.
机译:计算机行业的快速进步允许建立更大的系统,需要大容量存储体积。随着存储空间增加,其管理变得越来越困难。在当代企业存储系统中,性能已发展成为一个主要的瓶颈,对整体IT绩效产生负面影响。集中式解决方案通常是不可行的,因此应寻求分布式解决方案。我们的新方法涉及将智能代理纳入存储系统,允许使用代表代表代表需要存储的客户端和代表系统内存储服务器的代理之间的分布式协商方案。使用模拟大存储网络的实际设置的模拟环境,我们展示了在客户满意度,服务器收入和整体系统性能方面在存储管理领域应用分布式解决方案的好处。我们的结果显示在实施此解决方案时的存储性能显着提高。

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