Behavior of crossover operators in NSGA-III for large-scale optimization problems
Traditional multi-objective optimization evolutionary algorithms (MOEAs) do not usually meet
the requirements for online data processing because of their high computational costs. This …
the requirements for online data processing because of their high computational costs. This …
Job scheduling for big data analytical applications in clouds: A taxonomy study
Y Kang, L Pan, S Liu - Future Generation Computer Systems, 2022 - Elsevier
Cloud environments have provided great help for the development of big data. Today, cloud
environments have become the most active platform for big data analysis applications …
environments have become the most active platform for big data analysis applications …
DCHG-TS: a deadline-constrained and cost-effective hybrid genetic algorithm for scientific workflow scheduling in cloud computing
A Iranmanesh, HR Naji - Cluster Computing, 2021 - Springer
Cloud infrastructures are suitable environments for processing large scientific workflows.
Nowadays, new challenges are emerging in the field of optimizing workflows such that it can …
Nowadays, new challenges are emerging in the field of optimizing workflows such that it can …
Cost and makespan scheduling of workflows in clouds using list multiobjective optimization technique
P Han, C Du, J Chen, F Ling, X Du - Journal of Systems Architecture, 2021 - Elsevier
Highly scalable resource supply capacity of cloud computing has greatly improved the
execution speed of workflow applications, however, traditional workflow scheduling …
execution speed of workflow applications, however, traditional workflow scheduling …
A management system for servicing multi-organizations on community cloud model in secure cloud environment
The emergence of cloud computing has been growing rapidly in the last decades especially
for workflow scheduling. Organizations with the same requirements and needs go to use the …
for workflow scheduling. Organizations with the same requirements and needs go to use the …
Online scheduling of dependent tasks of cloud's workflows to enhance resource utilization and reduce the makespan using multiple reinforcement learning-based …
Due to different heterogeneous cloud resources and diverse and complex applications of
the users, an optimal task scheduling, which can satisfy users and cloud service providers …
the users, an optimal task scheduling, which can satisfy users and cloud service providers …
Using Big Data-machine learning models for diabetes prediction and flight delays analytics
T Nibareke, J Laassiri - Journal of Big Data, 2020 - Springer
Introduction Nowadays large data volumes are daily generated at a high rate. Data from
health system, social network, financial, government, marketing, bank transactions as well …
health system, social network, financial, government, marketing, bank transactions as well …
An online algorithm for scheduling big data analysis jobs in cloud environments
Y Kang, L Pan, S Liu - Knowledge-Based Systems, 2022 - Elsevier
Cloud computing has become a popular platform for processing big data analysis jobs with
its advantages of high-availability, elasticity and cost-efficiency. Many big data analysis …
its advantages of high-availability, elasticity and cost-efficiency. Many big data analysis …
A multi-criteria decision making heuristic for workflow scheduling in cloud computing environment
CT Kamanga, E Bugingo, SN Badibanga… - The Journal of …, 2023 - Springer
Cloud computing has long been recognized as the best way to execute and manage high-
performance applications across a variety of domains. Yet, cloud computing service …
performance applications across a variety of domains. Yet, cloud computing service …
A dynamic VM provisioning and de-provisioning based cost-efficient deadline-aware scheduling algorithm for Big Data workflow applications in a cloud environment
Cloud computing is the fastest growing distributed computing paradigm that provides online
IT resources on demand by following a pay-as-you-go billing model. The success of this …
IT resources on demand by following a pay-as-you-go billing model. The success of this …