Adaptive Offloading for Pervasive Computing 论文

2004IEEE Pervasive Computing引用 261
IoT and Edge/Fog ComputingContext-Aware Activity Recognition SystemsModular Robots and Swarm Intelligence

摘要

Delivering a complex application on a resource-constrained mobile device is challenging. An adaptive offloading system enables dynamic partitioning of the application and efficient offloading of part of its execution to a nearby surrogate. To deliver pervasive services without modifying the application or degrading its fidelity, we propose an adaptive offloading system that includes two key parts: a distributed offloading platform and an offloading inference engine. There are two important decision-making problems for adaptive offloading: adaptive offloading triggering and efficient application partitioning.