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 …

Pushing computing, control, data storage, and processing into the cloud has been a key
trend in the past decade. However, the cloud alone encounters growing limitations, such as …

Visual data are rich, which have opened vast analytics opportunities and been widely used
in many applications. However, the demanding requirements of computational resources …

New generations of cloud applications are increasingly complex and pose lower latency
requirements. The latter is forcing the industry to reduce network latency by adding …

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 …

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 …

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 …

Despite the increasing usage of cloud computing, there are still issues unsolved due to
inherent problems of cloud computing such as unreliable latency, lack of mobility support …

Over the last decade, data processing shifted from cloud computing to the local processing
environment named Fog computing. Fog computing is an extension of cloud computing …

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 …