Edge-cloud computing, combining the benefits of both edge computing and cloud
computing, is one of the most promising ways to address the resource insufficiency of smart …

Abstract Internet of Things (IoT) is made up with growing number of facilities, which are
digitalized to have sensing, networking and computing capabilities. Traditionally, the large …

Benders decomposition uses a strategy of``learning from one's mistakes.''The aim of this
paper is to extend this strategy to a much larger class of problems. The key is to generalize …

This study deals with solving the Internet of Things (IoT) Service Placement Problem (SPP)
in fog computing environment using metaheuristic approaches. Basically, SPP is a non …

This research paper investigates Mobile Edge Computing (MEC) networks, which involve
numerous wireless devices transferring their computation tasks to various edge servers and …

With its decentralization, reliable database, security, and quasi anonymity, blockchain
provides a new solution for data storage and sharing as well as privacy protection. This …

Despite the extensive use of IoT and mobile devices in the different applications, their
computing power, memory, and battery life are still limited. Multi-Access Edge Computing …

We present a meta-analysis of cloud computing research in information systems. The study
includes 152 referenced journal articles published between January 2010 to June 2023. We …

Scheduling is an important issue in distributed computing platforms which decides the
allocation of resources to the user-submitted tasks to optimize certain scheduling objectives …

This book is the first comprehensive guide to logic-based Benders decomposition (LBBD), a
general and versatile method for breaking large, complex optimization problems into …