课题基金 / 基金详情

CNS Core: Small: Caching with Delayed Hits

CNS Core: Small: Caching with Delayed Hits
CNS 核心:小型:延迟命中缓存
批准号:
2007733
负责人:
Justine Sherry
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2023-09-30

项目摘要

项目成果

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中文摘要
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英文摘要
Caches are responsible for storing data close to where computer systems access them in order to make things faster. For example, when a user accesses a website, the web browser first checks the cache to see if the webpage files are already there; if not, the cache goes to the website servers, which takes longer. Unfortunately, caches are small and don’t have room to store everything. In order to make systems faster, this project’s goal is to decide what to store in the cache while accounting for "delayed hits", which occur when multiple requests happen for the same data back-to-back.This project will explore the impact of delayed hits on cache performance. Delayed hits occur when a request "misses" in the cache, and a second request occurs for the same object before the first request has returned from the backing store. The second hit does not have equal latency to a true "hit" nor a true "miss". Because caches assume that requests result in either a hit or a miss, caches do not achieve the best possible latency. This project will explore new caching algorithms to achieve better latency by taking delayed hits into account.The technical impact of this project will be to improve latencies for a broad range of computer systems that rely on caches, from key-value stores in data centers to web caches. Systems with very long latencies will benefit the most, leading to the hypothesis that one will see strong benefits for web caches in Internet-underserved regions which may be hundreds of miles from their nearest data center. This project will also impact education and broaden participation in computing by including undergraduate researchers in the research process.All simulators, scripts, and analysis resulting from this work will be uploaded to public repositories (http://www.github.com/cmu-snap) where they may be accessed by the public indefinitely.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(16)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3492866.3549713
发表时间: 2022-07
期刊: Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
影响因子: --
作者: [Tuhinangshu Choudhury;Weina Wang;Gauri Joshi]
通讯作者: Tuhinangshu Choudhury;Weina Wang;Gauri Joshi
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption
平均奖励的不安分强盗:打破统一的全球吸引子假设
DOI: --
发表时间: 2023
期刊: Advances in neural information processing systems
影响因子: --
作者: [Hong, Yige, Xie, Qiaomin, Chen, Yudong, Wang, Weina]
通讯作者: Wang, Weina
DOI: 10.1145/3387514.3405883
发表时间: 2020-07
期刊: Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication
影响因子: --
作者: [Nirav Atre;Justine Sherry;Weina Wang;Daniel S. Berger]
通讯作者: Nirav Atre;Justine Sherry;Weina Wang;Daniel S. Berger
DOI: 10.1145/3492866.3549717
发表时间: 2021-09
期刊: Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
影响因子: --
作者: [Yige Hong;Weina Wang]
通讯作者: Yige Hong;Weina Wang
16
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