These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …

The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous
demand for hosting application services on the cloud. Further, contemporary data-intensive …

These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …

Summary In the Internet of Things (IoT) scenario, the integration with cloud‐based solutions
is of the utmost importance to address the shortcomings resulting from resource‐constrained …

Despite the remarkable work conducted to improve fog computing applications' efficiency,
the task scheduling problem in such an environment is still a big challenge. Optimizing the …

Purpose This research paper aims at proposing a framework based on semantic integration
in Big Data for saving energy in smart cities. The presented approach highlights the potential …

The rapid growth of urban development in recent years required reliable as well as realistic
smart solutions to transport, system infrastructure, environmental conditions, and quality of …

This paper introduces JEMADAR-AI, an approach to energy management within smart grids,
leveraging an edge-cloud continuum architecture coupled with Deep Q-Learning to optimize …

Smart Grid (SG) plays vital role in modern electricity grid. The data is increasing with the
drastic increase in number of users. An efficient technology is required to handle this …

Nature inspired algorithm plays a very vibrant role in solving the different optimization
problems these days. The fundamental attitude of naturalistic approaches is to boost the …