Energy Aware Task Consolidation in Fog Computing Environment

The Internet of Things (IoT) is growing rapidly in today’s world. A big challenge nowadays is the large volume of data generated between WSN and the cloud infrastructure. Fog computing is a new technology that is an extension to the cloud where processing is performed at the edge of the network, reducing latency and traffic as well. Because of its structure, it has a high demand in healthcare applications, smart homes, supply chain management, smart cities, and intelligent transportation system. Nano data centers (nDCs) are called the tiny computers at the edge of the network. Load balancing is achieved by the current fog architecture. User request allocation technique plays a vital role in fog server energy consumption. The allocation of the user request task to fog servers in a fog environment is a difficult (NP-hard) problem. This article proposes a task consolidation for energy saving by reducing the unused nDCs in a fog computing environment and maximizing CPU utilization.