文章基本信息

标题：A Self-Adaptive Honey Bee Inspired Load-Balancing Algorithm in Cloud Data-Centre
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作者：Chandrakanta Korat ; Daxa Vekariya
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：5
页码：9025
DOI：10.15680/IJIRSET.2016.0505343
出版社：S&S Publications
摘要：Load balancing is one of the keyissues in cloud computing. Scalability which is one of the veryimportant features of cloud computing is enabled by load balancing Honey bee inspired load balancing algorithmis one of the dynamic approach. Bees Algorithm is a population-based search algorithm which uses the concept ofswarm intelligence. The Honeybee algorithm is inspired by the "behaviour of a colony of honeybees foraging andharvesting food.” This approach works well under heterogeneous types of resources but it does not show equivalentimprovement in throughput while increasing number of resources. To overcome the above limitations, manyresearchers have put forward many improvement methods. Here proposed method uses the concept of Multi objectiveoptimization for selecting the best solution with pre-emptive task scheduling which considers Time, Cost and Fault-ratefor selecting optimal VM. For calculating the exact weight of each QoS parameter The Eigen Vector Method isused.This proposed system will be implemented in CloudSim as an virtual environment that will consider Multipleparameters of QoS value to choose the best virtual machine for task migration. It considers the task’s priority whilemigrating the task from one virtual machine to another. Result shows that this approach reduces the overall-time andwaiting time of task. So it increases the system-performance and reduces the makespan.
关键词：Cloud computing ; Load balancing; Honey bee foraging behaviour; pre-emptive task scheduling