Modern communication systems are probable to surface new challenges while introducing
innovative fronts concerning context consciousness in wireless networks. The main outcome …

This article proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …

Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

Edge computing has become popular in the last decade and will advance in future to
support real-time actionable analytics at the devices. One of the fundamental problems for …

The new edge computing paradigm extends cloud computing by allowing service vendors to
deploy their service instances and data on distributed edge servers to serve their service …

The new mobile edge computing (MEC) paradigm fundamentally changes the data caching
technique by allowing data to be cached on edge servers attached to base stations within …

Due to the limited resources of Internet of Things (IoT) devices, the multimedia application
data generated by IoT devices can be offloaded to edge servers for processing. In this …

Intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) communications
are expected to alleviate the load of ground base stations in a cost-effective way. Existing …

In the multi-access edge computing (MEC) environment, app vendors' data can be cached
on edge servers to ensure low-latency data retrieval. Massive users can simultaneously …

Mobile edge computing (MEC) raises a variety of new challenges for app vendors, including
the Edge User Allocation (EUA) problem. EUA aims to allocate as many app users as …