Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

By performing data processing at the network edge, mobile edge computing can effectively
overcome the deficiencies of network congestion and long latency in cloud computing …

In the traditional cloud-based Internet of Vehicles (IoV) architecture, it is difficult to guarantee
the low latency requirements of the current intelligent transportation system (ITS). As a …

With the evolutionary development of latency sensitive applications, delay restriction is
becoming an obstacle to run sophisticated applications on mobile devices. Partial …

Many previous energy-efficient computation optimization works for mobile edge computing
(MEC) systems have been based on the assumption of synchronous offloading, where all …

Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks
in close proximity to smart mobile devices (SMDs) and contributes to energy saving …

Mobile-edge computing (MEC) is an emerging paradigm that provides a capillary
distribution of cloud computing capabilities to the edge of the wireless access network …

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 …

The incorporation of dynamic voltage scaling technology into computation offloading offers
more flexibilities for mobile edge computing. In this paper, we investigate partial computation …