With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are
constantly producing a vast volume of data. It is unwise to locally store all the raw data in the …

Despite the many past research conducted in the Cloud Computing field, some challenges
still exist related to workload balancing in cloud-based applications and specifically in the …

The exponential growth of the Internet of Things (IoT) technology poses various challenges
to the classic centralized cloud computing paradigm, including high latency, limited capacity …

Many applications in the real world include optimizing specific targets, such as cost
minimization, energy conservation, climate, and maximizing production, efficiency, and …

The pandemic of COVID-19 obliges citizens to follow the “work from home “scheme. The
Internet is also a powerful channel for social connections. The huge dependency of people …

A smart city is a system that uses technology means to create, implement, and promote
environmentally friendly solutions to the problems caused by growing urbanisation. The …

Many policymakers envisage using a community model and Big Data technology to achieve
the sustainability demanded by intelligent city components and raise living standards. Smart …

The wide-spread Internet of Things (IoT) utilization in almost every scope of our life made it
possible to automate daily life tasks with no human intervention. This promising technology …

In this paper, several works have been presented related to clustering parallel computing for
distributed systems. The trend of the paper is to focus on the strengths of previous works in …

With the development of the big data age, deep learning developed to become having a
more complex network structure and more powerful feature learning and feature expression …