In recent years, significant attentions have been devoted to design of metaheuristic
optimization algorithms in order to solve optimization problems. Metaheuristic optimizers are …

With the significant growth of multiprocessor systems (MPS) to deal with complex tasks and
speed up their execution, the energy generated as a result of this growth becomes one of …

Abstract The growth of Multiprocessing Systems (MPS) has become a necessity for dealing
with complex tasks and speeding up their execution. Increasing the number of processing …

ABSTRACT The Industrial Internet of Things (IIoT) is the recent innovation that had
revolutionized the industries by enabling interconnected devices and systems to exchange …

In this study, a novel method has been implemented to solve the problems of task
scheduling. This study observances the problem of dynamic multiprocessor task scheduling …

Solving of multiprocessor tasks scheduling is a challenging problem in grid environment.
Combination of set of tasks to be completed with defined number of processors is the key …

Grid computing is a computational technique used to meet growing computational demands.
Scheduling of independent tasks in computational grids commonly arises in many grid …

At the present time, in contrast with the past, this paper achieves the most challenging
problems in distributed computing system named as Dynamic Task Scheduling Problem …

The Industrial Internet of Things (IIoT) is the recent innovation that had revolutionized the
industries by enabling interconnected devices and systems to exchange intelligent data …

In order to successfully address the multiprocessor work scheduling issues, a novel hybrid
approach is presented in this paper. Executing a group of tasks on a small number of …