Publications

Authors:

Marini, Lorenzo; Carra, Damiano

Title:

Can Miss Ratio Curves Predict Cache Performance?

Year:

2024

Type of item:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Language:

Inglese

Format:

Elettronico

Congresso:

2024 IEEE International Conference on Cloud Engineering, IC2E 2024

Place:

Paphos, Cyprus

Period:

24-27 Sept. 2024

Page numbers:

101-106

Keyword:

caching

Short description of contents:

Miss Ratio Curves (MRCs) serve as a widely recognized tool for cache profiling, offering a comprehensive visualization of the relationship between cache size and miss ratio. This enables users to assess the cost of storage and estimate the impact of cache misses effectively. However, MRCs are constructed based on past requests, raising questions about their suitability for what-if analysis in predicting future cache occupancy. In this work, we aim to evaluate the effectiveness of MRCs in predicting cache performance. To achieve this, we explore the influence of the interval during which requests are collected and establish metrics for quantifying the error between predictions and actual outcomes. Our findings highlight that predictive whatif analysis remains an open problem that necessitates thorough investigation and exploration.

Product ID:

143972

Handle IRIS:

11562/1151556

Last Modified:

January 25, 2025

Bibliographic citation:

Marini, Lorenzo; Carra, Damiano, Can Miss Ratio Curves Predict Cache Performance?  in Proc. of IC2E 2024 , Proceedings of "2024 IEEE International Conference on Cloud Engineering, IC2E 2024" , Paphos, Cyprus , 24-27 Sept. 2024 , 2024 , pp. 101-106

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