Efficient task and workflow scheduling are very crucial for increasing performance, resource
utilization, customer satisfaction, and return of investment for cloud service providers. Based …

This paper suggests a new nature inspired metaheuristic optimization algorithm which is
called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm imitates the hunting …

Context Model-based testing (MBT) aims to generate executable test cases from behavioral
models of software systems. MBT gains interest in industry and academia due to its …

Abstract The coronavirus disease 2019 (COVID-19) was first reported in December 2019 in
Wuhan, China, and then moved to almost every country showing an unprecedented …

Flower pollination algorithm (FPA) is a recent swarm-based evolutionary algorithm that was
inspired by the biological evolution of pollination of the flowers. It deals with a panmictic …

Independent task scheduling is considered one of the most popular issues in cloud
computing environment. This study proposes a new metaheuristic optimization algorithm …

The net buoyancy, driving force of underwater gliders, decreases gradually when the gliders
dive or climb in the seawater, which increases the energy consumption and reduces the …

Software testing activities account for a considerable portion of systems development cost
and, for this reason, many studies have sought to automate these activities. Test data …

The application of genetic algorithms in automatically generating test data has aroused
broad concerns and obtained delightful achievements in recent years. However, the …

The placement of a virtual machine in cloud computing generates a cost derived from
consuming the energy of the allocated network elements. In this paper, we present an …