The widespread adoption of cloud computing to the Internet of Things (IoT) systems leads the network latency constraint for many applications. A Cloudlet [1] plays a key role in reducing the end-to-end latency by bringing the cloud computing services nearer to the edge. It is a decentralized small-scale cloud datacenter located at the edge of the Internet, offering services to nearby mobile users. The main objective of Cloudlet is to support time-sensitive mobile applications such as augmented reality applications with minimum latency. With the target of providing the real-time interactive response, Cloudlet computing has emerged due to its significant characteristics such as low-latency, one-hop communication, and high-bandwidth wireless access [2]. Cloudlet is represented as the 3-tier hierarchy, including mobile device-cloudlet-cloud. Traditional researchers have presented Cloudlet-based solutions to overcome the obstacles in the cloud computing-based solutions for real-time especially, time-sensitive applications [3, 4]. The existing Cloudlet computing systems [5, 6] have focused on the following research areas. • Providing the Cloudlet computing solutions based on resource optimization to address resource-scarcity challenges at a cloudlet. • Due to the resource sharing between cloudlets, providing collaboration among cloudlets for resource sharing and load balancing becomes an emerging research area. • VM migration between cloudlets and optimal cloudlet selection is another important research area. • Developing a performance-centric solution and requiring a global mechanism to facilitate the entire cycle of resource management for better assessment, allocation, and optimization are also be future research directions. • Modeling the independent deployment of Cloudlet infrastructure in the LAN network is essential due to higher dependency between the service providers and Cloudlet computing.