Task Scheduling in Geo-Distributed Computing: A Survey
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Yujian, Tang, Shanjiang, Yu, Ce, Yang, Bin, Sun, Chao, Xiao, Jian, Wu, Hutong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scheduling of Distributed Applications on the Computing Continuum: A Survey
by: Mehran, Narges, et al.
Published: (2024)
by: Mehran, Narges, et al.
Published: (2024)
Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
by: Zhao, Hailiang, et al.
Published: (2024)
by: Zhao, Hailiang, et al.
Published: (2024)
PHWSOA: A Pareto-based Hybrid Whale-Seagull Scheduling for Multi-Objective Tasks in Cloud Computing
by: Zhao, Zhi, et al.
Published: (2025)
by: Zhao, Zhi, et al.
Published: (2025)
LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
by: Tang, Zhiqing, et al.
Published: (2025)
by: Tang, Zhiqing, et al.
Published: (2025)
A Survey of Computation Offloading with Task Types
by: Zhang, Siqi, et al.
Published: (2023)
by: Zhang, Siqi, et al.
Published: (2023)
DaggerFFT: A Distributed FFT Framework Using Task Scheduling in Julia
by: Anvari, Sana Taghipour, et al.
Published: (2026)
by: Anvari, Sana Taghipour, et al.
Published: (2026)
A Reinforcement Learning-Driven Task Scheduling Algorithm for Multi-Tenant Distributed Systems
by: Zhang, Xiaopei, et al.
Published: (2025)
by: Zhang, Xiaopei, et al.
Published: (2025)
A Granularity Characterization of Task Scheduling Effectiveness
by: Anvari, Sana Taghipour, et al.
Published: (2026)
by: Anvari, Sana Taghipour, et al.
Published: (2026)
INSPIRIT: Optimizing Heterogeneous Task Scheduling through Adaptive Priority in Task-based Runtime Systems
by: Wang, Yiqing, et al.
Published: (2024)
by: Wang, Yiqing, et al.
Published: (2024)
Exploiting Stragglers in Distributed Computing Systems with Task Grouping
by: Adikari, Tharindu, et al.
Published: (2024)
by: Adikari, Tharindu, et al.
Published: (2024)
Composing Distributed Computations Through Task and Kernel Fusion
by: Yadav, Rohan, et al.
Published: (2024)
by: Yadav, Rohan, et al.
Published: (2024)
Arrow: Adaptive Scheduling Mechanisms for Disaggregated LLM Inference Architecture
by: Wu, Yu, et al.
Published: (2025)
by: Wu, Yu, et al.
Published: (2025)
Bandwidth-Aware and Cost-Efficient Pipeline Parallel Scheduling in Geo-Distributed LLM Training
by: Zhang, Han, et al.
Published: (2026)
by: Zhang, Han, et al.
Published: (2026)
DeFT: Mitigating Data Dependencies for Flexible Communication Scheduling in Distributed Training
by: Meng, Lin, et al.
Published: (2025)
by: Meng, Lin, et al.
Published: (2025)
HydraInfer: Hybrid Disaggregated Scheduling for Multimodal Large Language Model Serving
by: Dong, Xianzhe, et al.
Published: (2025)
by: Dong, Xianzhe, et al.
Published: (2025)
Eliminating Timing Anomalies in Scheduling Periodic Segmented Self-Suspending Tasks with Release Jitter
by: Lin, Ching-Chi, et al.
Published: (2024)
by: Lin, Ching-Chi, et al.
Published: (2024)
QoE-oriented Dependent Task Scheduling under Multi-dimensional QoS Constraints over Distributed Networks
by: Fan, Xuwei, et al.
Published: (2023)
by: Fan, Xuwei, et al.
Published: (2023)
Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
by: Tang, Lujie, et al.
Published: (2024)
by: Tang, Lujie, et al.
Published: (2024)
Raptor: Distributed Scheduling for Serverless Functions
by: Exton, Kevin, et al.
Published: (2024)
by: Exton, Kevin, et al.
Published: (2024)
On-the-fly Communication-and-Computing to Enable Representation Learning for Distributed Point Clouds
by: Chen, Xu, et al.
Published: (2024)
by: Chen, Xu, et al.
Published: (2024)
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)
by: Wang, Zhiyu, et al.
Published: (2024)
A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems
by: Loi, Chung Ming, et al.
Published: (2025)
by: Loi, Chung Ming, et al.
Published: (2025)
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
by: Gao, Yunqi, et al.
Published: (2025)
by: Gao, Yunqi, et al.
Published: (2025)
DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization
by: Tang, Zhenheng, et al.
Published: (2025)
by: Tang, Zhenheng, et al.
Published: (2025)
Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
by: Chatterjee, Soumyajit, et al.
Published: (2025)
by: Chatterjee, Soumyajit, et al.
Published: (2025)
PISA: An Adversarial Approach To Comparing Task Graph Scheduling Algorithms
by: Coleman, Jared, et al.
Published: (2024)
by: Coleman, Jared, et al.
Published: (2024)
Parameterized Task Graph Scheduling Algorithm for Comparing Algorithmic Components
by: Coleman, Jared, et al.
Published: (2024)
by: Coleman, Jared, et al.
Published: (2024)
A Survey of Distributed Graph Algorithms on Massive Graphs
by: Meng, Lingkai, et al.
Published: (2024)
by: Meng, Lingkai, et al.
Published: (2024)
iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration
by: Guan, Wen, et al.
Published: (2025)
by: Guan, Wen, et al.
Published: (2025)
GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management
by: Duan, Jiaang, et al.
Published: (2025)
by: Duan, Jiaang, et al.
Published: (2025)
EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning
by: Xu, Zhifei, et al.
Published: (2025)
by: Xu, Zhifei, et al.
Published: (2025)
Optimizing Task Scheduling in Fog Computing with Deadline Awareness
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling
by: Wang, Yujie, et al.
Published: (2024)
by: Wang, Yujie, et al.
Published: (2024)
A Survey on Scheduling Techniques in the Edge Cloud: Issues, Challenges and Future Directions
by: Asghar, Hassan, et al.
Published: (2022)
by: Asghar, Hassan, et al.
Published: (2022)
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices
by: Shen, Tao, et al.
Published: (2025)
by: Shen, Tao, et al.
Published: (2025)
CoCoI: Distributed Coded Inference System for Straggler Mitigation
by: Liu, Xing, et al.
Published: (2025)
by: Liu, Xing, et al.
Published: (2025)
AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems
by: Wang, Lehao, et al.
Published: (2024)
by: Wang, Lehao, et al.
Published: (2024)
Past-Future Scheduler for LLM Serving under SLA Guarantees
by: Gong, Ruihao, et al.
Published: (2025)
by: Gong, Ruihao, et al.
Published: (2025)
A Poly-Log Approximation for Transaction Scheduling in Fog-Cloud Computing and Beyond
by: Adhikari, Ramesh, et al.
Published: (2025)
by: Adhikari, Ramesh, et al.
Published: (2025)
WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows
by: Lehmann, Fabian, et al.
Published: (2025)
by: Lehmann, Fabian, et al.
Published: (2025)
Similar Items
-
Scheduling of Distributed Applications on the Computing Continuum: A Survey
by: Mehran, Narges, et al.
Published: (2024) -
Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
by: Zhao, Hailiang, et al.
Published: (2024) -
PHWSOA: A Pareto-based Hybrid Whale-Seagull Scheduling for Multi-Objective Tasks in Cloud Computing
by: Zhao, Zhi, et al.
Published: (2025) -
LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
by: Tang, Zhiqing, et al.
Published: (2025) -
A Survey of Computation Offloading with Task Types
by: Zhang, Siqi, et al.
Published: (2023)