Saved in:
| Main Authors: | Qing, Yunfan, Zheng, Wenli |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.11320 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CheetahGIS: Architecting a Scalable and Efficient Streaming Spatial Query Processing System
by: Cao, Jiaping, et al.
Published: (2025)
by: Cao, Jiaping, et al.
Published: (2025)
AgileDART: An Agile and Scalable Edge Stream Processing Engine
by: Ching, Cheng-Wei, et al.
Published: (2024)
by: Ching, Cheng-Wei, et al.
Published: (2024)
Democratizing Scalable Cloud Applications: Transactional Stateful Functions on Streaming Dataflows
by: Psarakis, Kyriakos
Published: (2025)
by: Psarakis, Kyriakos
Published: (2025)
Designing Co-operation in Systems of Hierarchical, Multi-objective Schedulers for Stream Processing
by: Dangwal, Animesh, et al.
Published: (2025)
by: Dangwal, Animesh, et al.
Published: (2025)
Structures and Techniques for Streaming Dynamic Graph Processing on Decentralized Message-Driven Systems
by: Chandio, Bibrak Qamar, et al.
Published: (2024)
by: Chandio, Bibrak Qamar, et al.
Published: (2024)
Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs
by: Naman, Pranjal, et al.
Published: (2025)
by: Naman, Pranjal, et al.
Published: (2025)
To Stream or Not to Stream: Towards A Quantitative Model for Remote HPC Processing Decisions
by: Castro, Flavio, et al.
Published: (2025)
by: Castro, Flavio, et al.
Published: (2025)
Performance Optimization in Stream Processing Systems: Experiment-Driven Configuration Tuning for Kafka Streams
by: Chen, David, et al.
Published: (2026)
by: Chen, David, et al.
Published: (2026)
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems
by: Pfister, Benjamin J. J., et al.
Published: (2024)
by: Pfister, Benjamin J. J., et al.
Published: (2024)
TD-Orch: Scalable Load-Balancing for Distributed Systems with Applications to Graph Processing
by: Zhao, Yiwei, et al.
Published: (2025)
by: Zhao, Yiwei, et al.
Published: (2025)
MemFine: Memory-Aware Fine-Grained Scheduling for MoE Training
by: Zhao, Lu, et al.
Published: (2025)
by: Zhao, Lu, et al.
Published: (2025)
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing
by: Lyu, Chenghao, et al.
Published: (2022)
by: Lyu, Chenghao, et al.
Published: (2022)
GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover
by: Barik, Reet, et al.
Published: (2024)
by: Barik, Reet, et al.
Published: (2024)
Scalable Maxflow Processing for Dynamic Graphs
by: Kannappan, Shruthi, et al.
Published: (2025)
by: Kannappan, Shruthi, et al.
Published: (2025)
TraceMesh: Scalable and Streaming Sampling for Distributed Traces
by: Chen, Zhuangbin, et al.
Published: (2024)
by: Chen, Zhuangbin, et al.
Published: (2024)
FedFQ: Federated Learning with Fine-Grained Quantization
by: Li, Haowei, et al.
Published: (2024)
by: Li, Haowei, et al.
Published: (2024)
Towards Disaggregation-Native Data Streaming between Devices
by: Asmussen, Nils, et al.
Published: (2024)
by: Asmussen, Nils, et al.
Published: (2024)
PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing
by: Agnihotri, Pratyush, et al.
Published: (2025)
by: Agnihotri, Pratyush, et al.
Published: (2025)
Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems
by: Han, Yuxing, et al.
Published: (2025)
by: Han, Yuxing, et al.
Published: (2025)
LEISA: A Scalable Microservice-based System for Efficient Livestock Data Sharing
by: Habib, Mahir, et al.
Published: (2025)
by: Habib, Mahir, et al.
Published: (2025)
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
by: Lyu, Chenghao, et al.
Published: (2024)
by: Lyu, Chenghao, et al.
Published: (2024)
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
by: Jangda, Abhinav, et al.
Published: (2023)
by: Jangda, Abhinav, et al.
Published: (2023)
Towards a Testbed for Scalable FaaS Platforms
by: Schirmer, Trever, et al.
Published: (2025)
by: Schirmer, Trever, et al.
Published: (2025)
Justin: Hybrid CPU/Memory Elastic Scaling for Distributed Stream Processing
by: Schmitz, Donatien, et al.
Published: (2025)
by: Schmitz, Donatien, et al.
Published: (2025)
Persistent HyTM via Fast Path Fine-Grained Locking
by: Coccimiglio, Gaetano, et al.
Published: (2025)
by: Coccimiglio, Gaetano, et al.
Published: (2025)
Towards Efficient and Scalable Distributed Vector Search with RDMA
by: Zhi, Xiangyu, et al.
Published: (2025)
by: Zhi, Xiangyu, et al.
Published: (2025)
Towards a Scalable In Situ Fast Fourier Transform
by: Kulkarni, Sudhanshu, et al.
Published: (2024)
by: Kulkarni, Sudhanshu, et al.
Published: (2024)
Streaming SQL Multi-Way Join Method for Long State Streams
by: Hu, Jinlong, et al.
Published: (2024)
by: Hu, Jinlong, et al.
Published: (2024)
FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving
by: Chen, Wenyan, et al.
Published: (2026)
by: Chen, Wenyan, et al.
Published: (2026)
Shared Memory-Aware Latency-Sensitive Message Aggregation for Fine-Grained Communication
by: Chandrasekar, Kavitha, et al.
Published: (2024)
by: Chandrasekar, Kavitha, et al.
Published: (2024)
LiveR: Fine-Grained Elasticity via Live Reconfiguration for Model Training
by: Liu, Haoyuan, et al.
Published: (2026)
by: Liu, Haoyuan, et al.
Published: (2026)
Multithreaded Fine-Grained Asynchronous BSP for Integer Sorting with LCI and OpenMP
by: Cheng, Minyu, et al.
Published: (2026)
by: Cheng, Minyu, et al.
Published: (2026)
Fine-Grained Vectorized Merge Sorting on RISC-V: From Register to Cache
by: Zhang, Jin, et al.
Published: (2024)
by: Zhang, Jin, et al.
Published: (2024)
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
by: Zhong, Yinmin, et al.
Published: (2025)
by: Zhong, Yinmin, et al.
Published: (2025)
Linear Complexity $\mathcal{H}^2$ Direct Solver for Fine-Grained Parallel Architectures
by: Boukaram, Wajih, et al.
Published: (2025)
by: Boukaram, Wajih, et al.
Published: (2025)
ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training
by: Kang, Xueze, et al.
Published: (2025)
by: Kang, Xueze, et al.
Published: (2025)
Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
by: Liu, Chen, et al.
Published: (2025)
by: Liu, Chen, et al.
Published: (2025)
Towards Stream-Based Monitoring for EVM Networks
by: Onica, Emanuel, et al.
Published: (2025)
by: Onica, Emanuel, et al.
Published: (2025)
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization
by: Geldenhuys, Morgan, et al.
Published: (2024)
by: Geldenhuys, Morgan, et al.
Published: (2024)
Robust and Scalable Renaming with Subquadratic Bits
by: Bai, Sirui, et al.
Published: (2025)
by: Bai, Sirui, et al.
Published: (2025)
Similar Items
-
CheetahGIS: Architecting a Scalable and Efficient Streaming Spatial Query Processing System
by: Cao, Jiaping, et al.
Published: (2025) -
AgileDART: An Agile and Scalable Edge Stream Processing Engine
by: Ching, Cheng-Wei, et al.
Published: (2024) -
Democratizing Scalable Cloud Applications: Transactional Stateful Functions on Streaming Dataflows
by: Psarakis, Kyriakos
Published: (2025) -
Designing Co-operation in Systems of Hierarchical, Multi-objective Schedulers for Stream Processing
by: Dangwal, Animesh, et al.
Published: (2025) -
Structures and Techniques for Streaming Dynamic Graph Processing on Decentralized Message-Driven Systems
by: Chandio, Bibrak Qamar, et al.
Published: (2024)