Resource Allocation optimization in fog Architecture Based Software-Defined Networks
Publish place: International Journal of Information and Communication Technology Research (IJICT، Vol: 15، Issue: 4
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_ITRC-15-4_006
تاریخ نمایه سازی: 17 دی 1402
Abstract:
As a growing of IoT devices, new computing paradigms such as fog computing are emerging. Fog computing is more suitable for real-time processing due to the proximity of resources to IoT layer devices. Service providers must dynamically update the hardware and software parameters of the network infrastructure. Software defined network (SDN) proposed as a new network paradigm, whose separate control layer from data layer and provides flexible network management. This paper presents a software-defined fog platform to host real-time applications in IoT. Then, we propose a novel resource allocation method. This method involves scheduling multi-node real-time task graphs over the fog to minimize task execution latency. The proposed method is designed to benefit the centralized structure of SDN. The simulation results show that the proposed method can find near to optimal solutions in a very lower execution time than the brute force method.
Keywords:
Software-defined network , fog computing , Multi-nodes weighted directed task graph , Task assigning , task offloading
Authors
sepideh sheikhi nejad
Department of Computer Engineering, Islamic Azad University South Branch, Tehran, Iran s.sheikhynejad۹۸۳۴@gmail.com
Ahmad Khadem Zadeh
Department of Computer Engineering, Research Center ITRC, Tehran, Iran
Amir Masoud Rahmani
Future Technology Research Center, National Yunlin University of Science and Technology, Taiwan
Ali Broumandnia
Department of Computer Engineering, Islamic Azad University South Branch, Tehran, Iran