Computational Analytics of Client Awareness for Mobile Application Offloading with Cloud Migration

Abstract

Smartphone applications like games, image processing, e-commerce and social networking are gaining exponential growth, with the ubiquity of cellular services. This demands increased computational power and storage from mobile devices with a sufficiently high bandwidth for mobile internet service. But mobile nodes are highly constrained in the processing and storage, along with the battery power, which further restrains their dependability. Adopting the unlimited storage and computing power offered by cloud servers, it is possible to overcome and turn these issues into a favorable opportunity for the growth of mobile cloud computing. As the mobile internet data traffic is predicted to grow at the rate of around 65 percent yearly, even advanced services like 3G and 4G for mobile communication will fail to accommodate such exponential growth of data. On the other hand, developers extend popular applications with high end graphics leading to smart phones, manufactured with multicore processors and graphics processing units making them unaffordable. Therefore, to address the need of resource constrained mobile nodes and bandwidth constrained cellular networks, the computations can be migrated to resourceful servers connected to cloud. The server now acts as a bridge that should enable the participating mobile nodes to offload their computations through Wi-Fi directly to the virtualized server. Our proposed model enables an on-demand service offloading with a decision support system that identifies the capabilities of the client's hardware and software resources in judging the requirements for offloading. Further, the node's location, context and security capabilities are estimated to facilitate adaptive migration.

Client Aware Scalable Cloudlet to Augment Edge Computing with Mobile Cloud Migration Service

“…Thus, the methodology adopted for MCC scalability must include three components, namely, the cloud hardware scalability, the network resource scalability and the scalability of mobile devices [10]. Virtual machinebased cloudlet is the best approach when unknown mobile clients interact because a VM can encapsulate the request with the transient guest environment from the permanent host of the cloudlet infrastructure [11]. Some of the challenges for a cloudlet in leveraging its server for mobile clients were described by Aleksandar [12], in that, an efficient way to enhance the productivity of cloudlet is by using persistent cache based virtual machines.…”