Random-Access-Based Multiuser Computation Offloading for Devices in IoT Applications

Learning-Based Computation Offloading for IoT Devices with Energy Harvesting

Internet of Things (IoT) devices can apply mobileedge computing (MEC) and energy harvesting (EH) to provide the satisfactory quality of experiences for computation intensive applications and prolong the battery lifetime. In this article, we investigate the computation offloading for IoT devices with energy harvesting in wireless networks with multiple MEC devices such as base stations and acces...

A computation offloading scheme on handheld devices

In this paper, we present a computation offloading scheme on handheld devices. This scheme partitions an ordinary program into a client–server distributed program, such that the client code runs on the handheld device and the server code runs on the server. Our partition analysis and program transformation guarantee correct distributed execution under all possible execution contexts. We give a ...

Bandwidth Aware Application Partitioning for Computation Offloading on Mobile Devices

Computation offloading is a promising method for reducing power consumption of mobile devices by offloading computation to remote servers. For computation offloading, application partitioning is a key component. However, making a good application partitioning is challenging, as it needs to carefully consider the tradeoffs between the communication cost and computational benifits. Most of previo...

Novel Mobile Computation Offloading Framework for Android Devices

A survey of computation offloading strategies for performance improvement of applications running on mobile devices

Handheld mobile devices have evolved from simple voice communication devices to general purpose devices capable of executing complex applications. Despite this evolution, the applications executing on the mobile devices suffer due to their constrained resources. The constraints such as limited battery lifetime, limited storage and processing capabilities produce an adverse impact on the perform...