Edge computing has emerged as a distributed computing paradigm to overcome practical
scalability limits of cloud computing. The main principle of edge computing is to leverage on …

Edge computing brings computing and storage resources closer to (mobile) end users and
data sources, thus bypassing expensive and slow links to distant cloud computing …

With the spectacular growth of the Internet of Things, edge processing emerged as a
relevant means to offload data processing and analytics from centralized Clouds to the …

Edge computing is a trending notion introduced a decade ago as a new computing
paradigm for interactive mobile applications. The initial vision of the edge was a multi-tenant …

While edge computing is gaining traction, organizations operating in geographically
distributed locations are still using cloud computing to collect and post-process data. In this …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

There is a growing need for low latency for many devices and users. The traditional cloud
computing paradigm can not meet this requirement, legitimizing the need for a new …

At the core of the value proposition of edge computing is the ability to put computation close
enough to the data sources, on demand. However, the data sources, computational …

The exponential increase of the data generated by pervasive and mobile devices requires
disrupting approaches for the realization of emerging mobile and IoT applications. Although …

Edge computing has emerged as a pivotal paradigm shift in the realm of data processing
and analytics, revolutionizing the way organizations handle real-time data. This review …