Revisiting Cache Freshness for Emerging Real-Time Applications
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909443837394944 |
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| author | Mao, Ziming Iyer, Rishabh Shenker, Scott Stoica, Ion |
| author_facet | Mao, Ziming Iyer, Rishabh Shenker, Scott Stoica, Ion |
| contents | Caching is widely used in industry to improve application performance by reducing data-access latency and taking the load off the backend infrastructure. TTLs have become the de-facto mechanism used to keep cached data reasonably fresh (i.e., not too out of date with the backend). However, the emergence of real-time applications requires tighter data freshness, which is impractical to achieve with TTLs. We discuss why this is the case, and propose a simple yet effective adaptive policy to achieve the desired freshness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_20221 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Revisiting Cache Freshness for Emerging Real-Time Applications Mao, Ziming Iyer, Rishabh Shenker, Scott Stoica, Ion Operating Systems Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Caching is widely used in industry to improve application performance by reducing data-access latency and taking the load off the backend infrastructure. TTLs have become the de-facto mechanism used to keep cached data reasonably fresh (i.e., not too out of date with the backend). However, the emergence of real-time applications requires tighter data freshness, which is impractical to achieve with TTLs. We discuss why this is the case, and propose a simple yet effective adaptive policy to achieve the desired freshness. |
| title | Revisiting Cache Freshness for Emerging Real-Time Applications |
| topic | Operating Systems Distributed, Parallel, and Cluster Computing Networking and Internet Architecture |
| url | https://arxiv.org/abs/2412.20221 |