Video placement in video-on-demand system using genetic algorithm

K. Tang, K. Ko, S. Chan, E. Wong
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引用次数: 2

Abstract

Placing thousands of videos into multiple storage disk arrays is considered a tedious but major task in the centralized video-on-demand system. This time-consuming task is handled by experienced operators. The solution is hence sub-optimal and operator-dependent. In this paper, a genetic algorithm (GA) is proposed to tackle this problem and to allocate the video automatically. The advantages of using GA are its elegance and simplicity of procedures, as well as the ability to handle different system constraints and optimize the multiple objectives.
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基于遗传算法的视频点播系统视频放置
在集中式视频点播系统中,将数千个视频放入多个存储磁盘阵列被认为是一项繁琐但重要的任务。这项耗时的任务由经验丰富的操作人员完成。因此,该解决方案是次优的,并且依赖于操作符。本文提出了一种遗传算法来解决这一问题,实现视频的自动分配。使用遗传算法的优点是它的优雅和简单的过程,以及处理不同的系统约束和优化多目标的能力。
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