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Towards Cost Effective Server Population Estimation: A Case Study of Twitch

Published: 20 April 2020 Publication History

Abstract

Internet services such as email and video streaming are daily necessity for many of us. To scale to the demand of service quality and continuity, major services today operate on server clusters. Growingly large, long-lasting, and dynamic, these server clusters are pretty much ecosystems themselves. Drawing from the observation, we see a window of opportunity applying techniques in ecology, e.g., Capture-Mark-Recapture (i.e., CMR) for server population estimation, a problem fundamental to cluster monitoring.

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      cover image ACM Conferences
      WWW '20: Companion Proceedings of the Web Conference 2020
      April 2020
      854 pages
      ISBN:9781450370240
      DOI:10.1145/3366424
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 20 April 2020

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      Author Tags

      1. Network Measurement
      2. Population Estimation
      3. Server Cluster
      4. Twitch

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      WWW '20
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      WWW '20: The Web Conference 2020
      April 20 - 24, 2020
      Taipei, Taiwan

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