Fog computing (FC) and Internet of Everything (IoE) are two emerging technological
paradigms that, to date, have been considered standing-alone. However, because of their …

Energy efficiency is one of the main issues that will drive the design of fog-supported
wireless sensor networks (WSNs). Indeed, the behavior of such networks becomes very …

Providing real-time cloud services to Vehicular Clients (VCs) must cope with delay and
delay-jitter issues. Fog computing is an emerging paradigm that aims at distributing small …

The demand for cloud computing is increasing dramatically due to the high computational
requirements of business, social, web and scientific applications. Nowadays, applications …

Big data stream mobile computing is proposed as a paradigm that relies on the convergence
of broadband Internet mobile networking and real-time mobile cloud computing. It aims at …

One of the major challenges in the area of wireless sensor networks is simultaneously
reducing energy consumption and increasing network lifetime. Efficient routing algorithms …

Job scheduling is one of the most important research problems in distributed systems,
particularly cloud environments/computing. The dynamic and heterogeneous nature of …

In this paper with the aid of genetic algorithm and fuzzy theory, we present a hybrid job
scheduling approach, which considers the load balancing of the system and reduces total …

Due to the distributed nature of Denial-of-Service attacks, it is tremendously challenging to
identify such malicious behavior using traditional intrusion detection systems in Wireless …

In recent years, power consumption has become one of the hottest research trends in
computer science and industry. Most of the reasons are related to the operational budget …