Adaptive Proximate Computing Framework for Mobile Resource Augmentation

Abstract

Beyond voice and message communication, mobile devices are exploiting to access Internet resources like desktop. Nowadays, MobileApp development and its usage in various domains are also significantly rising. However, resource constraints of mobile devices like limited processing power, low storage, restricted memory and faster dissipation of energy have restricted resource intensive mobile application development and its accessibility. Cloud based mobile resource augmentation needs longer latency time due to larger number of intermediate hubs thereby prolonged execution time and deterioration of energy from mobile devices; hence, we are exploiting proximate computing entities for augmenting resources of the mobile devices by employing soft computing methodologies. The proposed proximate computing framework is intended to augment the resource scarcity of mobile devices by outsourcing their data and processing to an external proximate computing entity like an edge cloud, Raspberry PI controller, Arduino, WiFi Gateway and MNO cloud. An intelligent inventory checker mobile application which is based on the proposed framework, depicts significant mitigates in execution time and energy consumption of mobile devices. Proximate computing entities namely Arduino and Edge Cloud service have provided computation as a service to check the reorder level of every stock thereby providing seamless user experience to the mobile users. This research work provides a feasible solution for the development of resource intensive mobile application and its accessibility by mobile user regardless of the resource scarcity of mobile device.