Abstract
<p class="0abstract">Computing with mobile is still in its infancy due to its limitations of computational power, battery lifetime and storage capacity. These limitations hinder the growth of mobile computing, which in-turn affects the growth of computationally intensive applications developed for the mobile devices. So in-order to help execute complex applications within the mobile device, mobile cloud computing (MCC) emerged as a feasible solution. The job of offloading the task to the cloud data center for storage and execution from the mobile seems to gain popularity, however, issues related to network bandwidth, loss of mobile data connectivity, and connection setup does not augment well to extend the benefits offered by MCC. Cloudlet servers filled this gab by assisting the mobile cloud environment as an edge device, offering compute power to the connected devices with high speed wireless LAN connectivity. Implementation constraints of cloudlet faces severe challenges in-terms of its storage, network sharing, and VM provisioning. Moreover, the number of connected devices of the cloudlet and its load conditions vary drastically leading to unexpected bottleneck, in which case the availability to server becomes an issue. Therefore, a scalable cloudlet, Client Aware Scalable Cloudlet (CASC) is proposed with linear regression analysis, predicting the knowledge of expected load conditions for provisioning new virtual machines and to perform resource migration.</p>
Highlights
Computing paradigms connected to the mobile phones have evolved from standalone mobile devices, to interactive video, towards smart phones meant for games and social collaboration
Offloading computation from a resource poor mobile device to a surrogate machine has been the major focus towards integrating mobile and cloud computing
One of the major requirements is the stability of the Cloudlet, which has been effectively addressed by incorporating a scalability protocol Client Aware Resource Scalability (CARS) for the scalable cloudlet
Summary
Computing paradigms connected to the mobile phones have evolved from standalone mobile devices, to interactive video, towards smart phones meant for games and social collaboration. One of the major challenges ahead is with respect to network latency, real-time end to end connectivity, inter-cloud migration and traffic. The computational capability of the mobile devices to execute like a laptop or desktop is far from reach because of its inherent drawbacks of limited power, speed and storage. To fill this gap between cloud’s network delay and mobile’s device inefficiency, a new sub domain has evolved namely Mobile Cloud Computing, Edge Computing and Cloudlet Computing
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