A Computation Offloading Mechanism Based on Sharable Cache in Smart Community

In the smart community, many smart devices often offload computation tasks that use related data to edge servers. In this case, unnecessary data transmissions will occur, resulting in waste of energy resources and increased latency. Therefore, we consider adding a shareable cache to the edge server, allowing different computing tasks to share the original data file of computation task, and further reducing the energy consumption and latency. In this paper, we propose a computation offloading mechanism based on edge server shareable cache. We first propose a four-tier architecture. Subsequently, a resource constraint optimization model combining communication, computing, and caching is established. Then, we design a multi-factor-based edge server sharable cache management and update mechanism (MFBM), and propose a two-scenario computation offloading mechanism (TSCOM). Finally, simulation results show that the mechanism proposed in this paper is effective.