A Stable Idle Time Detection Platform for Real I/O Workloads-Reference-Cited by-同舟云学术

A Stable Idle Time Detection Platform for Real I/O Workloads

Published:2024-09-12 Issue: Volume: Page:
ISSN:1544-3566
Container-title:ACM Transactions on Architecture and Code Optimization
language:en
Short-container-title:ACM Trans. Archit. Code Optim.

Author:

Lu Yen-Yu¹^ORCID,Wu Chin-Hsien²^ORCID,Li Shih-Jen²^ORCID,Lee Cheng-Tze²^ORCID,Wu Cheng-Yen²^ORCID

Affiliation:

1. Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

2. Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei Taiwan

Abstract

It is important to utilize the idle time of a workload to improve the system performance. In the paper, we will explore multiple idle time detection methods to predict the idle time of the real I/O workloads. The objective is to build a stable idle time detection platform by investigating the impact of multiple representative methods to pursue a more stable prediction accuracy. The experimental results show that the prediction accuracy of the proposed platform can be stable between 60% and 80%.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3695871

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