Abstract:
Computation offloading reduces smartphone energy consumption and improves performance. We propose and implement a lightweight offloading framework to offload compute-intensive tasks and simplify server deployment to address the heterogeneous architectures of the smartphone and server.
This framework allows generic and developer-customized offloading services for third-party applications. We also design a multi-task offloading tactic for the framework to handle intensive mobile device offloading requests. The server-side master node decides whether to offload a task and which VM to use to optimize execution time and energy consumption.
We evaluate this framework by comparing execution time, energy consumption, and CPU utilization across three execution modes and three applications. We simulate multi-task offloading experiments. Experimental results show that this framework reduces energy consumption and improves compute-intensive task performance, and multi-task offloading works for intensive offloading requests.
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