Collaborative Optimization Scheduling of Cloud Service Resources Based on Improved Genetic Algorithm
With the wide application of cloud computing technology, the services provided by cloud systems have become increasingly diverse, thus these systems are required to solve tasks of high variety and complexity, with a tremendously extensive amount of task data involved. That is why reasonable scheduli...
Main Authors: | Shaojie Liu, Ning Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9167240/ |
Similar Items
-
Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments
by: Kairong Duan, et al.
Published: (2018-05-01) -
Optimal scheduling algorithm of shared cloud logistics resources for fresh products
by: Shi Baozhu, et al.
Published: (2018-05-01) -
An Improved Genetic Algorithm with Swarm Intelligence for Security-Aware Task Scheduling in Hybrid Clouds
by: Huang, Y., et al.
Published: (2023) -
Hybrid electro search with genetic algorithm for task scheduling in cloud computing
by: S. Velliangiri, et al.
Published: (2021-03-01) -
A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing
by: Belal Ali Al-Maytami, et al.
Published: (2019-01-01)