Transformer-based latency prediction for stream processing task
Abstract Latency prediction for stream processing tasks (SPTs) is a critical issue for stream computing, parameter tuning, load optimization, task scheduling, etc. This study addresses the real-time, volatile, and high-volume nature of streaming workloads to improve latency prediction accuracy. A no...
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| Main Authors: | Zheng Chu, Baozhu Li, Changtian Ying |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00089-0 |
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