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Load balancing strategy of cloud computing based on artificial bee algorithm

机译:基于人工蜜蜂算法的云计算负载平衡策略

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It is indispensable to cloud computing that implements resource access by load balancing. According to the characteristics and requirements of cloud computing environments, an artificial bee colony algorithm (ABC) has been presented in this paper. Hundreds of thousand of simultaneous requests with the same type queued in the same server for the original ABC algorithm. Consequently, the local resource-intensive phenomenon arised and deteriorated load balancing. Due to the failure of this mechanism for the above case, an improved ABC is proposed. By replacing other types of requests with the next served request, the type of request is changed. It ended the accumulation of request and improved the system throughput. Experimental results show that ABC algorithm-based load balancing mechanism is applause for its stability and the improved ABC does well in the scalability.
机译:它是云计算不可或缺的云计算通过负载平衡实现资源访问。根据云计算环境的特性和要求,本文提出了一种人工蜂菌落算法(ABC)。以原始ABC算法在同一服务器中排队的数十万同步请求。因此,局部资源密集的现象产生和损坏负载平衡。由于该机制的失效,提出了一种改进的ABC。通过用下一个服务的请求替换其他类型的请求,请改变请求类型。它结束了请求的累积并改进了系统吞吐量。实验结果表明,基于ABC算法的负载平衡机制是掌握其稳定性的掌握,并且改进的ABC在可扩展性方面都很好。

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