The wide spread deployment of smart edge devices and applications that require real-time
data processing, have with no doubt created the need to extend the reach of cloud …

Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …

A steady increase in Internet-of-Things (IoT) applications needing large-scale computation
and long-term storage has lead to an overreliance on cloud computing. The resulting …

Summary Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable,
environmental sensors, home appliances, and vehicles) online, hence generating massive …

This article introduces a novel computing paradigm--fog computing--that extends the current
practice of cloud computing to the network edges closer to the clients. The main advantages …

Abstract The Internet of Everything (IoE) solutions gradually bring every object online, and
processing data in a centralized cloud does not scale to requirements of such an …

Fog computing promises to extend cloud computing to match emerging demands for low
latency, location-awareness and dynamic computation. It thus brings data processing close …

Recent years have seen fog and edge computing emerge as new paradigms to provide
more responsive software services. While both these concepts have numerous advantages …

Research in the Internet of Things (IoT) conceives a world where everyday objects are
connected to the Internet and exchange, store, process, and collect data from the …