Multi-objective workflow scheduling in cloud computing: trade-off between makespan and cost
出版年份 2021 全文链接
标题
Multi-objective workflow scheduling in cloud computing: trade-off between makespan and cost
作者
关键词
-
出版物
Cluster Computing-The Journal of Networks Software Tools and Applications
Volume 25, Issue 1, Pages 579-595
出版商
Springer Science and Business Media LLC
发表日期
2021-10-11
DOI
10.1007/s10586-021-03432-y
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Efficient dynamic resource allocation method for cloud computing environment
- (2020) Ali Belgacem et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- An Innovative synthesis of deep learning techniques (DCapsNet & DCOM) for generation electrical renewable energy from wind energy
- (2020) Samaher Al-Janabi et al. SOFT COMPUTING
- Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach
- (2020) Mainak Adhikari et al. APPLIED SOFT COMPUTING
- Workflow scheduling using Jaya algorithm in cloud
- (2019) Swati Gupta et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- A nifty collaborative analysis to predicting a novel tool (DRFLLS) for missing values estimation
- (2019) Samaher Al-Janabi et al. SOFT COMPUTING
- A new method for prediction of air pollution based on intelligent computation
- (2019) Samaher Al-Janabi et al. SOFT COMPUTING
- Load balancing optimization based on hybrid Heuristic-Metaheuristic techniques in cloud environment
- (2019) Amanpreet Kaur et al. Journal of King Saud University-Computer and Information Sciences
- Budget and Deadline Aware e-Science Workflow Scheduling in Clouds
- (2018) Vahid Arabnejad et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Mobile cloud computing: Challenges and future research directions
- (2018) Talal H. Noor et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Multi-objective approach of energy efficient workflow scheduling in cloud environments
- (2018) Attiqa Rehman et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Cost-effective deadline-aware stochastic scheduling strategy for workflow applications on virtual machines in cloud computing
- (2018) R.A. Haidri et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Workflow scheduling applying adaptable and dynamic fragmentation (WSADF) based on runtime conditions in cloud computing
- (2018) Zahra Momenzadeh et al. Future Generation Computer Systems-The International Journal of eScience
- Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT
- (2018) Xiumin Zhou et al. Future Generation Computer Systems-The International Journal of eScience
- Dynamic Scheduling of Workflow for Makespan and Robustness Improvement in the IaaS Cloud
- (2017) Haiou JIANG et al. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Task Workflow Design and its impact on performance and volunteers' subjective preference in Virtual Citizen Science
- (2017) James Sprinks et al. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
- Dynamic Scheduling of Workflow for Makespan and Robustness Improvement in the IaaS Cloud
- (2017) Haiou JIANG et al. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing
- (2015) Dzmitry Kliazovich et al. Journal of Grid Computing
- Resource-efficient workflow scheduling in clouds
- (2015) Young Choon Lee et al. KNOWLEDGE-BASED SYSTEMS
- Pareto Front Estimation for Decision Making
- (2014) Ioannis Giagkiozis et al. EVOLUTIONARY COMPUTATION
- Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds
- (2014) Maria Alejandra Rodriguez et al. IEEE Transactions on Cloud Computing
- Characterizing and profiling scientific workflows
- (2012) Gideon Juve et al. Future Generation Computer Systems-The International Journal of eScience
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
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