Dynamic Power Provisioning System for Fog Computing in IoT Environments

Mohammed Al Masarweh () and Tariq Alwada’n
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Mohammed Al Masarweh: Department of Management Information System, College of Business in Rabigh, King Abdulaziz University, Jeddah 25732, Saudi Arabia
Tariq Alwada’n: School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK

Mathematics, 2023, vol. 12, issue 1, 1-13

Abstract: Large amounts of data are created from sensors in Internet of Things (IoT) services and applications. These data create a challenge in directing these data to the cloud, which needs extreme network bandwidth. Fog computing appears as a modern solution to overcome these challenges, where it can expand the cloud computing model to the boundary of the network, consequently adding a new class of services and applications with high-speed responses compared to the cloud. Cloud and fog computing propose huge amounts of resources for their clients and devices, especially in IoT environments. However, inactive resources and large number of applications and servers in cloud and fog computing data centers waste a huge amount of electricity. This paper will propose a Dynamic Power Provisioning (DPP) system in fog data centers, which consists of a multi-agent system that manages the power consumption for the fog resources in local data centers. The suggested DPP system will be tested by using the CloudSim and iFogsim tools. The outputs show that employing the DPP system in local fog data centers reduced the power consumption for fog resource providers.

Keywords: cloud computing; fog computing; Internet of Things; big data; Cloud of Things; energy efficiency; machine-to-machine networks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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