Resource management in cloud could be a time and cost-effective activity if it is managed property. These resources are accessible and computable which is totally dependent upon the management techniques applied in cloud. In a cloud setting, heterogeneous, vulnerability, and scattering of resources creates many issues of distribution among the workloads which need to be compute. Specialists still face inconveniences to pick the prudent, material and expend less time to execution of resource portion to the cloud. This investigation delineates an expansive composed writing examination of asset administration inside the space of cloud typically and cloud asset administration based on SLA with multi-objective functions like cost and time. In this paper, an autonomic cloud resource-management technique is proposed to resolve identified issues by adopting the self-characteristics mechanism and improved Antlion optimization algorithm and tested in cloudsim toolkit and Aws Ec2 environment. The implementation results of proposed work are the evidence that it is better performing as compared with the existing frameworks, however, the performance evaluation method depends upon the different cloud environment and it may vary. KeywordsCloud computing, Autonomic computing, Self-optimization, Fuzzy, Resource scheduling.

中文翻译：

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基于时间和成本的云资源优化系统

如果托管资源，则云中的资源管理可能是一项节省时间和成本的活动。这些资源是可访问和可计算的，这完全取决于云中应用的管理技术。在云环境中，资源的异构性，脆弱性和分散性会在需要计算的工作负载之间造成许多分配问题。专家仍然面临选择不便，材料和花费更少的时间来将资源部分执行到云的麻烦。该调查描绘了通常在云空间内对资产管理和基于具有成本和时间等多目标功能的SLA的云资产管理进行的广泛组合写作考试。在本文中，提出了一种自主云资源管理技术，通过采用自特征机制和改进的Antlion优化算法来解决已发现的问题，并在cloudim工具箱和Aws Ec2环境中进行了测试。拟议工作的实施结果证明，与现有框架相比，它的性能更好，但是，性能评估方法取决于不同的云环境，并且可能会有所不同。关键字云计算，自主计算，自优化，模糊，资源调度。性能评估方法取决于不同的云环境，并且可能有所不同。关键字云计算，自主计算，自优化，模糊，资源调度。性能评估方法取决于不同的云环境，并且可能有所不同。关键字云计算，自主计算，自优化，模糊，资源调度。