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Placement of streaming multimedia objects in distributed Web caches.

机译:流式多媒体对象在分布式Web缓存中的放置。

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As the number of users increases, the traffic in the Internet has increased exponentially. Cooperative caching has been considered as a solution to reduce Internet traffic. One component of cooperative caching is the placement of objects, which determines where the objects are stored. This thesis investigates the placement of streaming multimedia objects in cooperative caching, with the objective of maximizing the bandwidth observed by users.; Streaming multimedia objects are usually resizable by using different compression schemes. Using this property, the placement problem is formulated as a nonconvex quadratically constrained quadratic program (QCQP). An existing global optimization technique, the Global Optimum Search (GOS), is applied to the QCQP, leading to two linear programs, which are solved iteratively to determine the final placement. Simulation results on a system based on a 6-node topology and systems based on the Sprint IP backbone network show that the bandwidth observed by users increased drastically.
机译:随着用户数量的增加,Internet的流量呈指数增长。合作缓存已被视为减少Internet流量的解决方案。协作缓存的一个组成部分是对象的放置,它确定了对象的存储位置。本文研究了协作式缓存中流式多媒体对象的放置,目的是最大化用户观察到的带宽。流媒体对象通常可以通过使用不同的压缩方案来调整大小。利用此属性,将放置问题公式化为非凸二次约束二次程序(QCQP)。现有的全局优化技术,即全局最优搜索(GOS),被应用于QCQP,从而产生了两个线性程序,这些程序被迭代求解以确定最终放置位置。在基于六节点拓扑的系统和基于Sprint IP骨干网的系统上的仿真结果表明,用户观察到的带宽急剧增加。

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