Related references
Note: Only part of the references are listed.Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review
Tomasz Gorski et al.
IEEE ACCESS (2021)
A hybrid multi-objective metaheuristic optimization algorithm for scientific workflow scheduling
Ali Mohammadzadeh et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)
Scheduling directed acyclic graphs with optimal duplication strategy on homogeneous multiprocessor systems
Qi Tang et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2020)
A hybrid genetic algorithm for scientific workflow scheduling in cloud environment
Hatem Aziza et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Improved many-objective particle swarm optimization algorithm for scientific workflow scheduling in cloud computing
Sahar Saeedi et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
Hybrid scheduling for scientific workflows on hybrid clouds
Amirmohammad Pasdar et al.
COMPUTER NETWORKS (2020)
Scheduling Scientific Workflow Using Multi-Objective Algorithm With Fuzzy Resource Utilization in Multi-Cloud Environment
Mazen Farid et al.
IEEE ACCESS (2020)
Dynamic multi-workflow scheduling: A deadline and cost-aware approach for commercial clouds
Vahid Arabnejad et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing: A Systematic Review
Simranjit Kaur et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2019)
Structure aware resource estimation for effective scheduling and execution of data intensive workflows in cloud
K. Kanagaraj et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
On efficient resource use for scientific workflows in clouds
Khaled Almi'ani et al.
COMPUTER NETWORKS (2018)
An enhanced genetic algorithm with new operators for task scheduling in heterogeneous computing systems
Mehdi Akbari et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)
A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds
Luan Teylo et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2017)
Efficient task scheduling for budget constrained parallel applications on heterogeneous cloud computing systems
Weihong Chen et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2017)
Scheduling deadline constrained scientific workflows on dynamically provisioned cloud resources
Vahid Arabnejad et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2017)
A hybrid multi-objective Particle Swarm Optimization for scientific workflow scheduling
Amandeep Verma et al.
PARALLEL COMPUTING (2017)
Grouped tasks scheduling algorithm based on QoS in cloud computing network
Hend Gamal El Din Hassan Ali et al.
EGYPTIAN INFORMATICS JOURNAL (2017)
Evolutionary Multi-Objective Workflow Scheduling in Cloud
Zhaomeng Zhu et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2016)
An Efficient Algorithm for the Bursting of Service-Based Applications in Hybrid Clouds
Faouzi Ben Charrada et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2016)
Partitioning-Based Workflow Scheduling in Clouds
Khaled Almi'ani et al.
IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS IEEE AINA 2016 (2016)
Algorithms for cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds
Maciej Malawski et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2015)
Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds
Saeid Abrishami et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2013)
Performance-effective and low-complexity task scheduling for heterogeneous computing
H Topcuoglu et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2002)