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Azizi, Sadoon, Khosroabadi, Fariba, Shojafar, Mohammad. (1398). A priority-based service placement policy for Fog-Cloud computing systems. سامانه مدیریت نشریات علمی, 7(Issue 4 (Special Issue)), 521-534.
Sadoon Azizi; Fariba Khosroabadi; Mohammad Shojafar. "A priority-based service placement policy for Fog-Cloud computing systems". سامانه مدیریت نشریات علمی, 7, Issue 4 (Special Issue), 1398, 521-534.
Azizi, Sadoon, Khosroabadi, Fariba, Shojafar, Mohammad. (1398). 'A priority-based service placement policy for Fog-Cloud computing systems', سامانه مدیریت نشریات علمی, 7(Issue 4 (Special Issue)), pp. 521-534.
Azizi, Sadoon, Khosroabadi, Fariba, Shojafar, Mohammad. A priority-based service placement policy for Fog-Cloud computing systems. سامانه مدیریت نشریات علمی, 1398; 7(Issue 4 (Special Issue)): 521-534.

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
آمار
تعداد مشاهده مقاله: 724
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