Task allocation in edge computing refers to the process of distributing tasks among the
various nodes in an edge computing network. The main challenges in task allocation …

The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …

Abstract In Internet of Things (IoT), numerous nodes produce huge volumes of data that are
the subject of various processing tasks. Tasks execution on top of the collected data can be …

The mobile edge computing (MEC) paradigm provides a promising solution to solve the
resource-insufficiency problem in mobile terminals by offloading computation-intensive and …

Supporting deep learning is a challenge for Internet of Things hardware with limited
computing capacity. Edge computing is a promising solution that supports such hardware as …

In recent years, multi-access edge computing (MEC) has become a hot topic. With its
distributed characteristics, MEC provides more possibilities for delay-sensitive tasks. In this …

With the rapid upgrading and explosive growth of Internet of Things (IoT) devices in mobile-
edge computing, more and more IoT applications with high resource requirements are …

With the development of multi-access edge computing (MEC), the cloudlet at the edge of the
network can provide nearby high-performance computing services, thus reducing the …

Existing works adopt the Edge-Oriented Resource Allocation (EORA) scheme, in which
edge nodes cache services and schedule user requests to distribute workloads over cloud …

With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …