Toward maximization of profit and quality of cloud federation: solution to cloud federation formation problem
Toward maximization of profit and quality of cloud federation: solution to cloud federation formation problem
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面向云联邦利润和质量最大化：解决云联邦组建问题
DOI：
10.1007/s11227-018-2620-2
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Sarbani Roy
中科院分区：
文献类型：
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作者：
Benay Kumar Ray;Avirup Saha;Sunirmal Khatua;Sarbani Roy
云计算的出现导致供应商通过云接口提供的计算服务出现天文数字的增长。这导致了云联盟的范例，其中一组 CSP 协作形成一个联盟，以无缝配置资源请求。在本文中，云联盟形成框架被建模为一个在利润和服务质量之间进行权衡的多目标优化问题。联盟形成算法试图最大化联盟利润，同时保持服务质量和联盟成员利润之间的平衡。我们应用线性标量化以及 $$\varepsilon $$ε 约束方法来找到这个多目标优化问题的帕累托最优解。提出了一种遵循整数线性规划的基于启发式的云联合形成算法。我们进行了大量的实验来研究我们提出的机制的性能，并表明我们提出的机制为利润/服务质量权衡的一般问题提供了优化的解决方案。
The emergence of cloud computing has led to an astronomical growth in the computing services provided by vendors over the cloud interface. This has led to the paradigm of cloud federations where a group of CSPs collaborate to form a federation for seamless provisioning of resource requests. In this paper, cloud federation formation framework is modeled as a multi-objective optimization problem with the trade-off between profit and QoS. Federation formation algorithms try to maximize the federation profit while maintaining a balance between the QoS and the profit of the members of the federation. We have applied Linear Scalarization as well as $$\varepsilon $$ε-constraint method to find the pareto-optimal solution to this multi-objective optimization problem. A heuristic-based algorithm for cloud federation formation following the integer linear program is proposed. We perform extensive experiments to investigate the performance of our proposed mechanism and show that our proposed mechanism yields optimized solution to the general problem of profit/QoS trade-off.
DOI：
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发表时间：
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影响因子：
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作者：
R. Buyya;Shin Chee;Yeo;S. Venugopal;J. Broberg;I. Brandić
通讯作者：
R. Buyya;Shin Chee;Yeo;S. Venugopal;J. Broberg;I. Brandić