Energy-aware and Reliable Service Placement of IoT applications on Fog Computing Platforms by Utilizing Whale Optimization Algorithm

الموضوعات :

Yaser Ramzanpoor ¹ , Mirsaeid Hosseini Shirvani ² , Mehdi GolSorkhTabar ³

1 - Department of Computer Engineering, Babol Branch, Islamic Azad University, Babol, Iran
2 - Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
3 - Department of Computer Engineering, Babol Branch, Islamic Azad University, Babol, Iran

تاريخ الإرسال : 28 الجمعة , رجب, 1442 تاريخ التأكيد : 17 الثلاثاء , ذو الحجة, 1442 تاريخ الإصدار : 19 الإثنين , جمادى الثانية, 1442

الکلمات المفتاحية: Internet of Things (IoT), Service Placement Problem (SPP), Fog Computing, Whale Optimization Algorithm (WOA),

ملخص المقالة :

Fog computing is known as a new computing technology where it covers cloud computing shortcomings in term of delay. This is a potential for running IoT applications containing multiple services taking benefit of closeness to fog nodes near to devices where the data are sensed. This article formulates service placement issue into an optimization problem with total power consumption minimization inclination. It considers resource utilization and traffic transmission between different services as two prominent factors of power consumption, once they are placed on different fog nodes. On the other hand, placing all of the services on the single fog node owing to power reduction reduces system reliability because of one point of failure phenomenon. In the proposed optimization model, reliability limitations are considered as constraints of stated problem. To solve this combinatorial problem, an energy-aware reliable service placement algorithm based on whale optimization algorithm (ER-SPA-WOA) is proposed. The suggested algorithm was validated in different circumstances. The results reported from simulations prove the dominance of proposed algorithm in comparison with counterpart state-of-the-arts.

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