A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments
L Abualigah, A Diabat - Cluster Computing, 2021 - Springer
Efficient task scheduling is considered as one of the main critical challenges in cloud
computing. Task scheduling is an NP-complete problem, so finding the best solution is …
computing. Task scheduling is an NP-complete problem, so finding the best solution is …
Ant colony optimization for traveling salesman problem based on parameters optimization
Y Wang, Z Han - Applied Soft Computing, 2021 - Elsevier
Traveling salesman problem (TSP) is one typical combinatorial optimization problem. Ant
colony optimization (ACO) is useful for solving discrete optimization problems whereas the …
colony optimization (ACO) is useful for solving discrete optimization problems whereas the …
Efficient task and workflow scheduling in inter-cloud environments: challenges and opportunities
M Masdari, M Zangakani - The Journal of Supercomputing, 2020 - Springer
Efficient task and workflow scheduling are very crucial for increasing performance, resource
utilization, customer satisfaction, and return of investment for cloud service providers. Based …
utilization, customer satisfaction, and return of investment for cloud service providers. Based …
[PDF][PDF] Sea lion optimization algorithm
This paper suggests a new nature inspired metaheuristic optimization algorithm which is
called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm imitates the hunting …
called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm imitates the hunting …
Task scheduling optimization in heterogeneous cloud computing environments: A hybrid GA-GWO approach
I Behera, S Sobhanayak - Journal of Parallel and Distributed Computing, 2024 - Elsevier
Cloud computing, a technology providing flexible and scalable computing resources, faces a
critical challenge in task scheduling, directly impacting system performance and customer …
critical challenge in task scheduling, directly impacting system performance and customer …
Intelligent workflow scheduling for Big Data applications in IoT cloud computing environments
Effective task scheduling is recognized as one of the main critical challenges in cloud
computing; it is an essential step for effectively exploiting cloud computing resources, as …
computing; it is an essential step for effectively exploiting cloud computing resources, as …
An efficient hybrid job scheduling optimization (EHJSO) approach to enhance resource search using Cuckoo and Grey Wolf Job Optimization for cloud environment
Cloud computing has now evolved as an unavoidable technology in the fields of finance,
education, internet business, and nearly all organisations. The cloud resources are …
education, internet business, and nearly all organisations. The cloud resources are …
Task scheduling on cloud computing based on sea lion optimization algorithm
Purpose Sea Lion Optimization (SLnO) algorithm involves the ability of exploration and
exploitation phases, and it is able to solve combinatorial optimization problems. For these …
exploitation phases, and it is able to solve combinatorial optimization problems. For these …
A review of task scheduling in cloud computing based on nature-inspired optimization algorithm
FS Prity, MH Gazi, KMA Uddin - Cluster computing, 2023 - Springer
The advent of the cloud computing paradigm allowed multiple organizations to move,
compute, and host their applications in the cloud environment, enabling seamless access to …
compute, and host their applications in the cloud environment, enabling seamless access to …
EAMA: Efficient adaptive migration algorithm for cloud data centers (CDCs)
The rapid demand for Cloud services resulted in the establishment of large-scale Cloud
Data Centers (CDCs), which ultimately consume a large amount of energy. An enormous …
Data Centers (CDCs), which ultimately consume a large amount of energy. An enormous …