EM_WOA: A budget-constrained energy consumption optimization approach for workflow scheduling in clouds
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
EM_WOA: A budget-constrained energy consumption optimization approach for workflow scheduling in clouds
Authors
Keywords
-
Journal
Peer-to-Peer Networking and Applications
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-03
DOI
10.1007/s12083-021-01267-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficient scientific workflow scheduling for deadline-constrained parallel tasks in cloud computing environments
- (2020) Longxin Zhang et al. INFORMATION SCIENCES
- A dynamic multi-objective evolutionary algorithm based on intensity of environmental change
- (2020) Yaru Hu et al. INFORMATION SCIENCES
- A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems
- (2020) Xuan Chen et al. IEEE Systems Journal
- An improved genetic algorithm using greedy strategy toward task scheduling optimization in cloud environments
- (2019) Zhou Zhou et al. NEURAL COMPUTING & APPLICATIONS
- TOPSIS–PSO inspired non-preemptive tasks scheduling algorithm in cloud environment
- (2019) Neelam Panwar et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Joint optimization method for task scheduling time and energy consumption in mobile cloud computing environment
- (2019) Hua Peng et al. APPLIED SOFT COMPUTING
- Performance Modeling and Workflow Scheduling of Microservice-Based Applications in Clouds
- (2019) Liang Bao et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing
- (2019) Goshgar Ismayilov et al. Future Generation Computer Systems-The International Journal of eScience
- Task Scheduling for Energy Consumption Constrained Parallel Applications on Heterogeneous Computing Systems
- (2019) Zhe Quan et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Budget and Deadline Aware e-Science Workflow Scheduling in Clouds
- (2018) Vahid Arabnejad et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
- (2018) Zong-Gan Chen et al. IEEE Transactions on Cybernetics
- Minimizing Energy Consumption of Real-Time Parallel Applications Using Downward and Upward Approaches on Heterogeneous Systems
- (2017) Guoqi Xie et al. IEEE Transactions on Industrial Informatics
- Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds
- (2017) Quanwang Wu et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems
- (2017) Longxin Zhang et al. INFORMATION SCIENCES
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Evolutionary Multi-Objective Workflow Scheduling in Cloud
- (2016) Zhaomeng Zhu et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- A Two-Tier Energy-Aware Resource Management for Virtualized Cloud Computing System
- (2016) Wei Huang et al. Scientific Programming
- Edge Computing: Vision and Challenges
- (2016) Weisong Shi et al. IEEE Internet of Things Journal
- Maximizing reliability with energy conservation for parallel task scheduling in a heterogeneous cluster
- (2015) Longxin Zhang et al. INFORMATION SCIENCES
- An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment
- (2015) Zhuo Tang et al. Journal of Grid Computing
- Cost and Energy Aware Scheduling Algorithm for Scientific Workflows with Deadline Constraint in Clouds
- (2015) Zhongjin Li et al. IEEE Transactions on Services Computing
- Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment
- (2015) Xue Lin et al. IEEE Transactions on Services Computing
- End-to-End Delay Minimization for Scientific Workflows in Clouds under Budget Constraint
- (2015) Chase Qishi Wu 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
- Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
- (2011) Young Choon Lee et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started