Distributed and heterogeneous edge computing environments require efficient allocation
and scheduling of multiple users' applications. This paper presents a game-theoretic …

Abstract Various Internet of Things (IoT) applications that comprise computation-intensive
dependent tasks have been widely popularized. Since these applications have real-time …

Edge computing, as a computing paradigm that enables the decentralization of cloud
computing services to the edge of the network, effectively addresses the issue of service …

Edge computing is a new paradigm that reduces latency and saves bandwidth by deploying
edge servers in different geographic locations. This technology plays a crucial role in the …

The emerging edge computing paradigm promises to deliver superior user experience and
enable a wide range of Internet of Things (IoT) applications. In this paper, we propose a new …

The incessant technological advancements of recent Internet of Things (IoT) networks have
led to a rapidly increasing number of connected devices and workloads. Resource …

In edge computing (EC), resource allocation is to allocate computing, storage and
networking resources on the edge nodes (ENs) efficiently and reasonably to tasks …

To meet the low latency demands of numerous Internet of Things (IoT) applications, edge
computing (EC) has been proposed to migrate computation from the cloud to the network's …

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 increasing prevalence of online services mounted on IoT devices, edge computing
gains significant momentum over conventional cloud-centric architecture. Edge servers are …