Adaptive Resource Provisioning for Smart Home Using Fog Computing

Abstract

IoT devices in the smart home eases human life and they can be controlled from remote locations. Proper utilization of end devices and other resources is a basic requirements in smart home. In smart home for faster processing of data fog nodes are used. They are deployed to minimize processing delay and are most suitable when an appropriate number of resources are available. Resource provisioning refers to the optimal allocation of resources to improve resource utilization and response time. It also avoid situation where some fog node is overloaded and some are underloaded. Fog nodes are dynamic and they can leave or join the network anytime. In the same time any malicious fog node can also join the fog network and can tamper the data and other resources. In this article, an efficient resource provisioning mechanism for smart home is proposed. The proposed scheme uses an authentication mechanism in which fog nodes authenticate themselves before providing services. There are mainly two types of requests by IoT devices viz. data and computational. To improve response, it is necessary to categorize requests and allocate fog nodes in proportion of requests type. The proposed scheme assess the performance of adaptive resource provisioning with static and random provisioning based on makespan, average execution time, and response time.