期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303122
出版社：S&S Publications
摘要：In this paper we tend to study concerning centralized hierarchal cloud-based multimedia (CMS).Thatconsisting of a resource manager, cluster heads, and server clusters, within which the resource manager assignspurchasers that requests for transmission service tasks to server clusters in keeping with the task characteristics, thenevery cluster head distributes the assigned task to the servers among its server cluster. For such a sophisticated CMS,however, it's area unit search challenge to style an efficient load leveling algorithmic program that spreads thetransmission service task load on servers with the token price for transmittal transmission information between serverclusters and purchasers, whereas the outside load limit of every server cluster isn't profaned. in contrast to previouswork, this paper takes into consideration a additional sensible dynamic multiservice state of affairs within which everyserver cluster solely handles a particular sort of transmission task, and every shopper requests a distinct sort oftransmission service at a distinct time. Such a state of affairs are often modelled as associate whole number appliedmathematics downside, that is computationally stubborn generally. As a consequence, this paper any solves the matterby associate economical genetic algorithmic program with associate migrant theme, that has been shown to beappropriate for dynamic issues. Simulation results demonstrate that the projected genetic algorithmic program willexpeditiously manage with dynamic multiservice load leveling in CMS
