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A priority-based service placement policy for Fog-Cloud computing systems | ||
| Computational Methods for Differential Equations | ||
| مقاله 2، دوره 7، Issue 4 (Special Issue)، آبان 2019، صفحه 521-534 اصل مقاله (949.14 K) | ||
| نوع مقاله: Research Paper | ||
| نویسندگان | ||
| Sadoon Azizi* 1؛ Fariba Khosroabadi2؛ Mohammad Shojafar3 | ||
| 1Department of Computer Engineering, Faculty of Engineering, University of Kurdistan | ||
| 2Department of Computer Engineering and IT, University of Qom, Qom, Iran | ||
| 3Department of Computer Science, Ryerson University, Toronto, Canada. | ||
| چکیده | ||
| Recent advances in the context of Internet of Things (IoT) have led to the emergence of many useful IoT applications with different Quality of Service (QoS) requirements. The fog-cloud computing systems offer a promising environment to provision resources for IoT application services. However, providing an efficient solution to service placement problem in such systems is a critical challenge. To address this challenge, in this paper, we propose a QoS-aware service placement policy for fog-cloud computing systems that places the most delay-sensitive application services as closer to the clients as possible. We validate our proposed algorithm in the iFogSim simulator. Results demonstrate that our algorithm achieves significant improvement in terms of service latency and execution cost compared to simulators built-in policies. | ||
| کلیدواژهها | ||
| Internet of Things (IoT)؛ Fog-Cloud computing system؛ Quality-of-Service (QoS)؛ Service placement؛ iFogSim | ||
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آمار تعداد مشاهده مقاله: 736 تعداد دریافت فایل اصل مقاله: 971 |
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