标题
Energy-aware scheduling for dependent tasks in heterogeneous multiprocessor systems
作者
关键词
-
出版物
JOURNAL OF SYSTEMS ARCHITECTURE
Volume 129, Issue -, Pages 102598
出版商
Elsevier BV
发表日期
2022-06-04
DOI
10.1016/j.sysarc.2022.102598
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Scheduling independent tasks in cloud environment based on modified differential evolution
- (2021) Jinchao Chen et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system
- (2021) Jinchao Chen et al. Swarm and Evolutionary Computation
- TARTS: A Temperature-Aware Real-Time Deadline-Partitioned Fair Scheduler
- (2020) Sanjay Moulik et al. JOURNAL OF SYSTEMS ARCHITECTURE
- RESET: A real-time scheduler for energy and temperature aware heterogeneous multi-core systems
- (2020) Sanjay Moulik INTEGRATION-THE VLSI JOURNAL
- SEAMERS: A Semi-partitioned Energy-Aware scheduler for heterogeneous MulticorE Real-time Systems
- (2020) Sanjay Moulik et al. JOURNAL OF SYSTEMS ARCHITECTURE
- Task Scheduling for Energy Consumption Constrained Parallel Applications on Heterogeneous Computing Systems
- (2019) Zhe Quan et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- A novel cost-efficient approach for deadline-constrained workflow scheduling by dynamic provisioning of resources
- (2018) Vishakha Singh et al. Future Generation Computer Systems-The International Journal of eScience
- Thermal-aware correlated two-level scheduling of real-time tasks with reduced processor energy on heterogeneous MPSoCs
- (2018) Junlong Zhou et al. JOURNAL OF SYSTEMS ARCHITECTURE
- A Cost-Effective Deadline-Constrained Dynamic Scheduling Algorithm for Scientific Workflows in a Cloud Environment
- (2018) Jyoti Sahni et al. IEEE Transactions on Cloud Computing
- Scheduling non-preemptive tasks with strict periods in multi-core real-time systems
- (2018) Jinchao Chen et al. JOURNAL OF SYSTEMS ARCHITECTURE
- Efficient task scheduling for budget constrained parallel applications on heterogeneous cloud computing systems
- (2017) Weihong Chen et al. Future Generation Computer Systems-The International Journal of eScience
- Resource Consumption Cost Minimization of Reliable Parallel Applications on Heterogeneous Embedded Systems
- (2017) Guoqi Xie et al. IEEE Transactions on Industrial Informatics
- 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
- Energy-Efficient Scheduling Algorithms for Real-Time Parallel Applications on Heterogeneous Distributed Embedded Systems
- (2017) Guoqi Xie et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Workflow Scheduling in Multi-Tenant Cloud Computing Environments
- (2017) Bhaskar Prasad Rimal 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
- Time and Energy Optimization Algorithms for the Static Scheduling of Multiple Workflows in Heterogeneous Computing System
- (2017) Junqiang Jiang et al. Journal of Grid Computing
- Multi-Objective Game Theoretic Schedulingof Bag-of-Tasks Workflows on Hybrid Clouds
- (2014) Rubing Duan et al. IEEE Transactions on Cloud Computing
- Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
- (2011) Young Choon Lee et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Energy-Efficient Scheduling of Periodic Real-Time Tasks on Lightly Loaded Multicore Processors
- (2011) Wan Yeon Lee IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started