We consider Device-to-Device (D2D)-enabled mobile edge computing offloading scenario,
where a device can partially offload its computation task to the edge server or exploit the …

The rapid proliferation of new applications poses great challenges to the computation
capability of mobile devices. To tackle this problem, computation offloading was proposed …

Mobile-edge computation offloading (MECO) off-loads intensive mobile computation to
clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a …

The rapid development of the Internet of Things gives rise to the emergence of delay-
sensitive and computation-intensive applications. Due to the inherent long delay of cloud …

Mobile edge computing (MEC) is an emerging paradigm that mobile devices can offload the
computation-intensive or latency-critical tasks to the nearby MEC servers, so as to save …

Mobile edge computing (MEC) is an emergent architecture, which brings computation and
storage resources to the edge of mobile network and provides rich services and applications …

With the rapid growth of computation demands from mobile applications, mobile-edge
computing (MEC) provides a new method to meet requirement of high data rate and high …

The rapid growth of mobile internet services has yielded a variety of computation-intensive
applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which …

Computation intensive and delay-sensitive applications impose severe requirements on
mobile devices of providing required computation capacity and ensuring latency. Mobile …

In this paper, we propose an optimization framework of offloading from a single mobile
device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency …