Black Widow Optimization (BWO) Algorithm in Cloud Brokering Systems for Connected Internet of Things

Journal of Computer & Robotics

دوره 15، شماره 1 - شماره پیاپی 25، مهر 2022، صفحه 33-45   

نوع مقاله: Original Research (Full Papers)

شناسه دیجیتال (DOI): 10.22094/jcr.2022.1960136.1272

نویسندگان

Nasim Jelodari^* ؛ Ali AsgharPourhaji Kazem

Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

چکیده

The Internet of Things (IoT) now connects over nine billion devices. This number is predicted to approach 20 billion in the near future, and the number of things is rapidly expanding, implying that a large amount of data will be created. To handle the connected things, an infrastructure must be built. Cloud computing (CC) has become necessary in the analysis and data storage for IoT. A cloud broker, which is an intermediate in the infrastructure that controls connected things in cloud computing, is discussed in this study. An optimization problem is examined for maximizing the broker's profit and system availability while minimizing request response time and energy consumption. For this purpose, an objective function is proposed and solved using the Black Widow Optimization (BWO) algorithm. Subsequently, the obtained results are compared with the particle swarm optimization (PSO) algorithms. The results indicate that the BWO algorithm could outperform the PSO algorithm, and it can provide much better results considering different scenarios.

کلیدواژه‌ها

Internet of Things؛ Cloud Broker؛ Black Widow Optimization Algorithm؛ Optimization؛ Simulation

مراجع

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