A Heavy-Load-Enhanced and Changeable-Periodicity-Perceived Workload Prediction Network
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Feiyi, Liu, Naijin, Qin, Zhen, Zhao, Hailiang, Zhou, Mengchu, Deng, Shuiguang |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
by: Qin, Zhen, et al.
Published: (2022)
by: Qin, Zhen, et al.
Published: (2022)
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)
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning
by: Huang, Binbin, et al.
Published: (2024)
by: Huang, Binbin, et al.
Published: (2024)
Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads
by: Karimi, Ahmad Maroof, et al.
Published: (2024)
by: Karimi, Ahmad Maroof, et al.
Published: (2024)
Crossword: Adaptive Consensus for Dynamic Data-Heavy Workloads
by: Hu, Guanzhou, et al.
Published: (2025)
by: Hu, Guanzhou, et al.
Published: (2025)
PeerSync: Accelerating Containerized Service Delivery at the Network Edge
by: Deng, Yinuo, et al.
Published: (2025)
by: Deng, Yinuo, et al.
Published: (2025)
Distributed Load Balancing with Workload-Dependent Service Rates
by: Zhang, Wenxin, et al.
Published: (2024)
by: Zhang, Wenxin, et al.
Published: (2024)
Next-Gen Computing Systems with Compute Express Link: a Comprehensive Survey
by: Chen, Chen, et al.
Published: (2024)
by: Chen, Chen, et al.
Published: (2024)
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
by: Qin, Zhen, et al.
Published: (2023)
by: Qin, Zhen, et al.
Published: (2023)
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Load Balancing
by: Jain, Kunal, et al.
Published: (2024)
by: Jain, Kunal, et al.
Published: (2024)
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
by: Yu, Di, et al.
Published: (2025)
by: Yu, Di, et al.
Published: (2025)
Union: An Automatic Workload Manager for Accelerating Network Simulation
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Scene-Aware Latency Estimation for Microservices via Multi-Scale Graph Fusion
by: Sun, Zhichao, et al.
Published: (2026)
by: Sun, Zhichao, et al.
Published: (2026)
AME: An Efficient Heterogeneous Agentic Memory Engine for Smartphones
by: Zhao, Xinkui, et al.
Published: (2025)
by: Zhao, Xinkui, et al.
Published: (2025)
Accelerating Compound LLM Training Workloads with Maestro
by: Yuan, Xiulong, et al.
Published: (2026)
by: Yuan, Xiulong, et al.
Published: (2026)
Towards Cloud Efficiency with Large-scale Workload Characterization
by: Parayil, Anjaly, et al.
Published: (2024)
by: Parayil, Anjaly, et al.
Published: (2024)
Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers
by: Shubham, et al.
Published: (2024)
by: Shubham, et al.
Published: (2024)
Workload Distribution with Rateless Encoding: A Low-Latency Computation Offloading Method within Edge Networks
by: Guo, Zhongfu, et al.
Published: (2023)
by: Guo, Zhongfu, et al.
Published: (2023)
AAPA: An Archetype-Aware Predictive Autoscaler with Uncertainty Quantification for Serverless Workloads on Kubernetes
by: Zhang, Guilin, et al.
Published: (2025)
by: Zhang, Guilin, et al.
Published: (2025)
Metronome: Efficient Scheduling for Periodic Traffic Jobs with Network and Priority Awareness
by: Jiang, Hao, et al.
Published: (2025)
by: Jiang, Hao, et al.
Published: (2025)
LLMSched: Uncertainty-Aware Workload Scheduling for Compound LLM Applications
by: Zhu, Botao, et al.
Published: (2025)
by: Zhu, Botao, et al.
Published: (2025)
Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads
by: Zhao, Wei, et al.
Published: (2024)
by: Zhao, Wei, et al.
Published: (2024)
Workload Intelligence: Punching Holes Through the Cloud Abstraction
by: Huang, Lexiang, et al.
Published: (2024)
by: Huang, Lexiang, et al.
Published: (2024)
Agentic AI Workload Characteristics
by: Yuan, Yichao, et al.
Published: (2026)
by: Yuan, Yichao, et al.
Published: (2026)
FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving
by: Gao, Shouwei, et al.
Published: (2026)
by: Gao, Shouwei, et al.
Published: (2026)
TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information
by: Wen, Linfeng, et al.
Published: (2024)
by: Wen, Linfeng, et al.
Published: (2024)
Ksurf: Attention Kalman Filter and Principal Component Analysis for Prediction under Highly Variable Cloud Workloads
by: Dang'ana, Michael, et al.
Published: (2024)
by: Dang'ana, Michael, et al.
Published: (2024)
Reliable Microservice Tail Latency Prediction via Decoupled Dual-Stream Learning and Gradient Modulation
by: Qian, Wenzhuo, et al.
Published: (2025)
by: Qian, Wenzhuo, et al.
Published: (2025)
Learning to Schedule: A Supervised Learning Framework for Network-Aware Scheduling of Data-Intensive Workloads
by: Timilsina, Sankalpa, et al.
Published: (2025)
by: Timilsina, Sankalpa, et al.
Published: (2025)
MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production
by: Xue, Chunyu, et al.
Published: (2026)
by: Xue, Chunyu, et al.
Published: (2026)
Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads
by: Hu, Cunchen, et al.
Published: (2024)
by: Hu, Cunchen, et al.
Published: (2024)
CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads
by: Stoyanov, Radostin, et al.
Published: (2025)
by: Stoyanov, Radostin, et al.
Published: (2025)
AI Surrogate Model for Distributed Computing Workloads
by: Park, David K., et al.
Published: (2024)
by: Park, David K., et al.
Published: (2024)
Optimal Workload Placement on Multi-Instance GPUs
by: Turkkan, Bekir, et al.
Published: (2024)
by: Turkkan, Bekir, et al.
Published: (2024)
GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads
by: Ye, Fanjiang, et al.
Published: (2026)
by: Ye, Fanjiang, et al.
Published: (2026)
Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training
by: Chen, Chang, et al.
Published: (2025)
by: Chen, Chang, et al.
Published: (2025)
PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters
by: Jain, Rutwik, et al.
Published: (2024)
by: Jain, Rutwik, et al.
Published: (2024)
PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications
by: Du, Kuntai, et al.
Published: (2025)
by: Du, Kuntai, et al.
Published: (2025)
Eventually-Consistent Federated Scheduling for Data Center Workloads
by: Thiyyakat, Meghana, et al.
Published: (2023)
by: Thiyyakat, Meghana, et al.
Published: (2023)
Kub: Enabling Elastic HPC Workloads on Containerized Environments
by: Medeiros, Daniel, et al.
Published: (2024)
by: Medeiros, Daniel, et al.
Published: (2024)
Similar Items
-
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
by: Qin, Zhen, et al.
Published: (2022) -
Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
by: Zhao, Hailiang, et al.
Published: (2024) -
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning
by: Huang, Binbin, et al.
Published: (2024) -
Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads
by: Karimi, Ahmad Maroof, et al.
Published: (2024) -
Crossword: Adaptive Consensus for Dynamic Data-Heavy Workloads
by: Hu, Guanzhou, et al.
Published: (2025)