Optimal Cost for Time-Aware Cloud Resource Allocation in Business Process

被引:18
作者
Ben Halima, Rania [1 ,2 ]
Kallel, Slim [2 ]
Gaaloul, Walid [1 ]
Jmaiel, Mohamed [2 ,3 ]
机构
[1] Univ ParisSaclay, UMR Samovar 5157, Telecom SudParis, Paris, France
[2] Univ Sfax, ReDCAD Lab, Sfax, Tunisia
[3] Digital Res Ctr Sfax, Sfax, Tunisia
来源
2017 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC) | 2017年
关键词
Business Process; Cloud Computing; Optimization; Pricing Strategy; Time; SUPPLIER SELECTION;
D O I
10.1109/SCC.2017.47
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud Computing infrastructures are being increasingly used for running business process activities due to its high performance level and low operating cost. The enterprise QoS requirements are diverse and different resources are offered by Cloud providers in various QoS-based pricing strategies. Furthermore, business process activities are constrained by hard timing constraints and if they are not executed correctly the enterprise will pay penalties costs. Therefore, finding the optimal Cloud resources allocation for a business process becomes a highly challenging problem. While optimizing the Cloud resource allocation cost, it is important to respect activities QoS requirements and temporal constraints and Cloud pricing strategies constraints. The aim of the present paper is to offer a method that assists users finding the optimal pricing strategy for Cloud resource used by business process activities. Basically, we use a binary/(0-1) linear program with an objective function under a set of constraints. In order to show its feasibility, our approach has been implemented and the results of our experiments highlight the effectiveness of our proposed solution.
引用
收藏
页码:314 / 321
页数:8
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