In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

Cloud infrastructures are highly favoured as a computing delivery model worldwide, creating
a strong societal dependence. It is therefore vital to enhance their resilience, providing …

Many edge computing systems rely on virtual machines (VMs) to deliver their services. It is
challenging, however, to deploy the virtualization mechanisms on edge computing hardware …

To provide a better quality of service (QoS), cloud computing paradigm in Internet of Things
(IoT) networks has shifted toward the edge. Fog-aided IoT networks deploy fog nodes, which …

Internet of Things (IoT) devices have become an integral part of our lives and are
increasingly used in almost every field. Subsequently, there are a large number of latency …

Edge computing services are exposed to infrastructural failures due to geographical
dispersion, ad hoc deployment, and rudimentary support systems. Two unique …

With the growing popularity of mobile edge computing (MEC), a number of data-intensive
applications have been deployed. Quality of Service (QoS), as one of the most important …

Latency-sensitive and data-intensive applications, such as IoT or mobile services, are
leveraged by Edge computing, which extends the cloud ecosystem with distributed …

Network function virtualization paradigm enables us to implement network functions
provided in middleboxes as softwares that run on commodity servers. This paper proposes a …

The advent of Multi-Access Edge Computing (MEC) has enabled service providers to
mitigate high network latencies often encountered in accessing cloud services by deploying …