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Cost-aware service brokering and performance sentient load balancing algorithms in the cloud

机译:云中的成本感知服务代理和性能感知负载平衡算法

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On-demand resource provisioning makes cloud computing a cutting edge technology. All cloud service providers offer computing resources with their own interface type, instance type, and pricing policy, among other service features. A cloud-based service broker provides intermediation to seek appropriate service providers in terms a suitable trade-off between price and performance. On the other hand, load balancing among cloud resources ensures efficient use of a physical infrastructure, and at the same time, minimizes execution time. This makes service brokers and load balancing among the most important issues in cloud computing systems. This paper aims to propose three different cloud brokering algorithms, and a load balancing algorithm. A simulation-based deployment confirms that our proposed algorithms minimized the cost, and at the same time, witnessed gains in service performance. (C) 2016 Elsevier Ltd. All rights reserved.
机译:按需资源配置使云计算成为一项前沿技术。所有云服务提供商都提供具有自己的接口类型,实例类型和定价策略以及其他服务功能的计算资源。基于云的服务经纪人提供中介,以在价格和性能之间进行适当的权衡取舍,以寻求适当的服务提供商。另一方面,云资源之间的负载平衡可确保有效利用物理基础架构,同时可将执行时间减至最少。这使得服务代理和负载平衡成为云计算系统中最重要的问题。本文旨在提出三种不同的云代理算法和一种负载平衡算法。基于仿真的部署证实了我们提出的算法将成本降到了最低,同时见证了服务性能的提高。 (C)2016 Elsevier Ltd.保留所有权利。

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