A knowledge-based two-population optimization algorithm for distributed energy-efficient parallel machines scheduling

Z Pan, D Lei, L Wang - IEEE transactions on cybernetics, 2020 - ieeexplore.ieee.org
In recent years, both distributed scheduling problem and energy-efficient scheduling have
attracted much attention. As the integration of these two problems, the distributed energy …

A multi-objective quantum-inspired genetic algorithm for workflow healthcare application scheduling with hard and soft deadline constraints in hybrid clouds

M Hussain, LF Wei, F Abbas, A Rehman, M Ali… - Applied Soft …, 2022 - Elsevier
Recently, the use of quantum cloud computing for different applications has been
increasing. For instance, weather forecasting, financial modeling, healthcare, and …

Energy-efficient load balancing algorithm for workflow scheduling in cloud data centers using queuing and thresholds

N Malik, M Sardaraz, M Tahir, B Shah, G Ali… - Applied Sciences, 2021 - mdpi.com
Cloud computing is a rapidly growing technology that has been implemented in various
fields in recent years, such as business, research, industry, and computing. Cloud …

Cost-effective algorithm for workflow scheduling in cloud computing under deadline constraint

AA Nasr, NA El-Bahnasawy, G Attiya… - Arabian Journal for …, 2019 - Springer
Cloud computing is a popular model that allows users to store, access, process, and retrieve
data remotely. It provides a high-performance computing with large scale of resources …

Balancer genetic algorithm—A novel task scheduling optimization approach in cloud computing

R Gulbaz, AB Siddiqui, N Anjum, AA Alotaibi… - Applied Sciences, 2021 - mdpi.com
Task scheduling is one of the core issues in cloud computing. Tasks are heterogeneous,
and they have intensive computational requirements. Tasks need to be scheduled on Virtual …

A multi-objective grey-wolf optimization based approach for scheduling on cloud platforms

MA Khan, R ur Rasool - Journal of Parallel and Distributed Computing, 2024 - Elsevier
A cloud computing environment processes user workloads or tasks by exploiting its high
performance computational, storage, of reducing and network resources. The virtual …

Real-time cloud-based load balance algorithms and an analysis

SR Gundu, CA Panem, A Thimmapuram - SN Computer Science, 2020 - Springer
Advancement in communication technologies has also made a positive impact by increase
in the computation. Cloud computing is an internet-based computational utility which has …

A genetic algorithm-based virtual machine allocation policy for load balancing using actual asymmetric workload traces

I Naz, S Naaz, P Agarwal, B Alankar, F Siddiqui, J Ali - Symmetry, 2023 - mdpi.com
Load balancing is a very important concept in cloud computing. In this work, studies are
conducted on workload traces at Los Alamos National Lab (LANL). The jobs in this trace are …

[HTML][HTML] A new online scheduling approach for enhancing QOS in cloud

AA Nasr, NA El-Bahnasawy, G Attiya… - Future Computing and …, 2018 - Elsevier
Abstract Quality-of-Services (QoS) is one of the most important requirements of cloud users.
So, cloud providers continuously try to enhance cloud management tools to guarantee the …

[PDF][PDF] Genetic-Based Multi-objective Task Scheduling Algorithm in Cloud Computing Environment.

FA Emara, A Gad-Elrab, A Sobhi… - International Journal of …, 2021 - researchgate.net
Recently, resource management is the major issues in cloud computing (CC) environment
because of dynamic heterogeneity of cloud computing environment. The task scheduling …