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Adaptive Proximate Computing Framework for Mobile Resource Augmentation
Mobile Networks and Applications ( IF 2.3 ) Pub Date : 2019-06-21 , DOI: 10.1007/s11036-019-01278-8
S. Anitha , T. Padma

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.

中文翻译:

用于移动资源增强的自适应近端计算框架

除了语音和消息通信之外,移动设备还利用访问桌面等Internet资源。如今,MobileApp的开发及其在各个领域的使用也大大增加。但是,移动设备的资源限制(例如处理能力有限,存储空间不足,内存受限制以及能量消耗更快)已限制了资源密集型移动应用程序的开发及其可访问性。由于更多的中间集线器,因此基于云的移动资源增强需要更长的等待时间,从而延长了执行时间并降低了移动设备的能量;因此,我们正在通过采用软计算方法来利用邻近的计算实体来增加移动设备的资源。拟议的近端计算框架旨在通过将移动设备的数据和处理外包到外部近端计算实体(例如边缘云,Raspberry PI控制器,Arduino,WiFi网关和MNO云)来增加移动设备的资源稀缺性。基于提出的框架的智能清单检查器移动应用程序可显着减轻移动设备的执行时间和能耗。邻近的计算实体(即Arduino和Edge Cloud服务)已将计算作为一项服务来检查每个库存的再订购水平,从而为移动用户提供无缝的用户体验。
更新日期:2019-06-21
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