Computational Offloading of Service Workflow in Mobile Edge Computing

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized cloud to the network edge, thereby meeting the latency requirements of many emerging mobile applications and saving backhaul network bandwidth. Although many existing works have studied computation offloading policies, service caching is an equally, if not more important, design topic of MEC, yet receives muc...

Computational Offloading for Mashup Services in Mobile Cloud Computing Environment

The cloud system is considered as the hub of hosted services in which a particular user can access the cloud system remotely by using applications or by using the browsers. Compared to desktop devices, mobile device have inherent constraints such as limited processing power, memory, and battery capacity. With the propagation of mobile cloud applications, researches are looking for new solutions...

UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design

With the emergence of diverse mobile applications (such as augmented reality), the quality of experience of mobile users is greatly limited by their computation capacity and finite battery lifetime. Mobile edge computing (MEC) and wireless power transfer are promising to address this issue. However, these two techniques are susceptible to propagation delay and loss. Motivated by the chance of s...

Acceleration of Web Service Workflow Execution through Edge Computing

Evidence-aware Mobile Computational Offloading

Computational offloading can improve user experience of mobile apps through improved responsiveness and reduced energy footprint. A fundamental challenge in offloading is to distinguish situations where offloading is beneficial from those where it is counterproductive. Currently, offloading decisions are predominantly based on profiling performed on individual devices. While significant gains h...