Pubblicazioni

Autori:

Marini, Lorenzo; Carra, Damiano

Titolo:

Can Miss Ratio Curves Predict Cache Performance?

Anno:

2024

Tipologia prodotto:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Lingua:

Inglese

Formato:

Elettronico

Titolo del Convegno:

2024 IEEE International Conference on Cloud Engineering, IC2E 2024

Luogo:

Paphos, Cyprus

Periodo:

24-27 Sept. 2024

Intervallo pagine:

101-106

Parole chiave:

caching

Breve descrizione dei contenuti:

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.

Id prodotto:

143972

Handle IRIS:

11562/1151556

ultima modifica:

25 gennaio 2025

Citazione bibliografica:

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

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