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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:在计算机行业的快速进步使构建需要海量存储容量更大的系统。随着存储空间的增加,其管理也变得越来越困难。在当今企业存储系统,性能已经发展成为一个主要的瓶颈,其整体IT性能带来负面影响。集中式解决方案通常是不可行的,因此分布式解决方案应寻求。我们的新方法涉及将智能代理到存储系统,允许分布式协商方案是代表谁需要存储并代表系统内的存储服务器的客户机起作用的药物的利用率。使用模拟环境,其模型的大型存储网络的实际设置,我们表明将在存储管理领域我们的分布式解决方案在客户满意度,服务器的收入和整体系统性能方面的好处。我们的研究结果显示,存储性能显著的改善时,该解决方案的实施。

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