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蚁群算法在云计算资源分配中的应用研究

pplied research of ant colony algorithm in computing clouds resources allocation

中文摘要英文摘要

针对目前已提出的云计算资源调度模型,提出一种基于蚁群算法的资源分配策略。分配云计算资源时,首先在云计算网络中发现社团,探测可用节点的计算能力,然后根据云计算服务模式特点,通过分析诸如网络带宽占用、线路质量、响应时间、任务费用、可靠性等因素对资源分配的影响,利用蚁群算法得到一组最优的计算资源。通过在CloudSim环境下的仿真进行分析和比较,这种算法能在满足云计算服务模式的情况下,获得比其他一些针对网络的的分配算法更短的响应时间和更强的工作质量,从而更加适合在云环境中使用。

In view of the present scheduling model of clouds computing resources, a resource allocation strategy based on ant colony algorithm is proposed. Distributing cloud calculative resources, first find societies in computing clouds network, detect usable node computing power, and then based on the cloud calculative service mode, through the analysis of the characteristic such as network bandwidth, line quality, response time, task expenses, other factors on the reliability of resource allocation influence, using the ant colony algorithm to get a set of optimal computing resources. Through analysis and comparison in the simulation under CloudSim environment, this algorithm can satisfy the cloud calculative service mode of the circumstances, get shorter response time and stronger work quality than some other in network of distribution algorithm, and thereby more suitable for use in the cloud environment.

张春艳

计算技术、计算机技术

云计算蚁群算法服务模式调度

loud computingant algorithmservice modeschedule

张春艳.蚁群算法在云计算资源分配中的应用研究[EB/OL].(2011-01-10)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201101-425.点此复制

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