Examining the developments in scheduling algorithms research: A bibliometric approach
TO Omotehinwa - Heliyon, 2022 - cell.com
This study examined the developments in the field of Scheduling algorithms in the last 30
years (1992–2021) to help researchers gain new insight and uncover the emerging areas of …
years (1992–2021) to help researchers gain new insight and uncover the emerging areas of …
Resource discovery for distributed computing systems: A comprehensive survey
Large-scale distributed computing environments provide a vast amount of heterogeneous
computing resources from different sources for resource sharing and distributed computing …
computing resources from different sources for resource sharing and distributed computing …
Metaheuristic task scheduling algorithms for cloud computing environments
Cloud computing has the advantage of providing flexibility, high‐performance, pay‐as‐you‐
use, and on‐demand service. One of the important research issues in cloud computing is …
use, and on‐demand service. One of the important research issues in cloud computing is …
A survey on job scheduling algorithms in big data processing
JV Gautam, HB Prajapati, VK Dabhi… - 2015 IEEE …, 2015 - ieeexplore.ieee.org
Scheduling problem has been an active area of research in computing systems since their
inception. The Apache Hadoop framework has emerged as most widely adopted framework …
inception. The Apache Hadoop framework has emerged as most widely adopted framework …
Improved chemical reaction optimization with fitness-based quasi-reflection method for scheduling in hybrid cloud-fog environment
With the advent of Internet of Things (IoT) applications, smart IoT devices are ubiquitous.
Executing these devices on cloud data centers can lead to network congestion and …
Executing these devices on cloud data centers can lead to network congestion and …
Elephant herding optimization for multiprocessor task scheduling in heterogeneous environment
RM Sahoo, SK Padhy - … Intelligence in Pattern Recognition: Proceedings of …, 2020 - Springer
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 …
scheduling. This study observances the problem of dynamic multiprocessor task scheduling …
Meta-heuristic based framework for workflow load balancing in cloud environment
Cloud services are based on datacenter which provides resources on demand with higher
capacity, lowest response time and improved resource utilization. The data center comprises …
capacity, lowest response time and improved resource utilization. The data center comprises …
A novel algorithm for priority-based task scheduling on a multiprocessor heterogeneous system
RM Sahoo, SK Padhy - Microprocessors and Microsystems, 2022 - Elsevier
Task scheduling is a major challenging issue in parallel and distributed heterogeneous
computing systems. The task scheduling problem in a heterogeneous multiprocessor system …
computing systems. The task scheduling problem in a heterogeneous multiprocessor system …
[PDF][PDF] A survey on job scheduling in big data
M Senthilkumar, P Ilango - Cybernetics and Information Technologies, 2016 - sciendo.com
Big Data Applications with Scheduling becomes an active research area in last three years.
The Hadoop framework becomes very popular and most used frameworks in a distributed …
The Hadoop framework becomes very popular and most used frameworks in a distributed …
Improved crow search optimization for multiprocessor task scheduling: a novel approach
RM Sahoo, SK Padhy - Applications of Robotics in Industry Using …, 2020 - Springer
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 …
Combination of set of tasks to be completed with defined number of processors is the key …