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首页> 外文期刊>International Journal of Innovative Computing and Applications >Bio-inspired algorithms for cloud computing: a review
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Bio-inspired algorithms for cloud computing: a review

机译:受生物启发的云计算算法:评论

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摘要

Cloud computing provides internet-based services to access different kind of service or resources, eliminating the need for centralised data access. There are several challenges available in cloud computing, where specific issues like resource provisioning, load imbalance and performance improvement can be solved using bio-inspired algorithms. Bio-inspired algorithms have the tendency to solve various kinds of problems naturally by providing optimised solutions. Though it is not used in cloud computing to a greater extent, it is applicable in networking, pattern recognition, data mining, wireless sensor networks, etc. The adaptability influences the use of bio-inspired algorithms to solve the major issues in cloud computing. The paper provides an extensive survey of bio-inspired algorithms for solving and optimising problems related to resource scheduling, load balancing, file searching and security in cloud computing. The work compares the performance, response time and cost optimisation of each algorithm applicable for cloud computing environment.
机译:云计算提供基于Internet的服务来访问不同种类的服务或资源,从而消除了对集中式数据访问的需求。云计算存在许多挑战,其中可以使用生物启发算法来解决诸如资源供应,负载不平衡和性能提高等特定问题。受生物启发的算法具有通过提供优化的解决方案自然解决各种问题的趋势。尽管它并未在云计算中得到更广泛的使用,但它适用于网络,模式识别,数据挖掘,无线传感器网络等。适应性影响使用生物启发算法来解决云计算中的主要问题。本文对生物启发算法进行了广泛的调查,以解决和优化与云计算中的资源调度,负载平衡,文件搜索和安全性有关的问题。这项工作比较了适用于云计算环境的每种算法的性能,响应时间和成本优化。

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