PERFORMANCE EVALUATION IN CLOUD COMPUTING USING FUZZY LOGIC
PERFORMANCE EVALUATION IN CLOUD COMPUTING USING FUZZY LOGIC
复制标题
使用模糊逻辑进行云计算性能评估
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
S. Akhtar
中科院分区：
文献类型：
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作者：
S. Akhtar
云计算已经成为最先进的平台之一，提供按使用付费的在线资源访问。IT行业正在日益扩大，使用云服务的企业也在不断扩大。云所有者对使用更少的物理服务器提供最高的性能感兴趣。由于云计算及其资源在不同组织中的日益普及，需要云计算性能标准或评估方法来帮助用户做出与云计算相关的决策。有许多传统方法用于突出显示云性能所涉及的参数。许多策略都致力于测试性能，将工作负载、存储、虚拟机管理程序、网络设备管理器、存储设备管理器等考虑在内，但尚未定义标准模型。本文的主要目的是为云计算的性能评估提供一个模型。我的目标是满足云基础设施级别和应用程序级别的性能。
Cloud computing has emerged as one of the most advanced platform providing the online access to the resources on pay per-use basis. IT industry is expanding day by day and so are the businesses using the cloud services. The cloud owners are interested in providing the highest performance using less power by the physical servers. Due to the increased popularity of cloud and its resources in different organizations, there is the need of cloud performance criteria or evaluation method to help the users in making their decisions related to cloud. There are many traditional methods being used to highlight the parameters involved in cloud performance. Many strategies worked on testing the performance taking workload, storage, hypervisor, network devices manager, storage device manager etc. into account but no standard model is yet defined. The idea of the paper is to provide the model to evaluate the performance of cloud. My aim is to cater the performance on the cloud infrastructure level and the application level.