A provider-side view of web search response time-Reference-Cited by-同舟云学术

A provider-side view of web search response time

Published:2013-09-19 Issue:4 Volume:43 Page:243-254
ISSN:0146-4833
Container-title:ACM SIGCOMM Computer Communication Review
language:en
Short-container-title:SIGCOMM Comput. Commun. Rev.

Author:

Chen Yingying¹,Mahajan Ratul²,Sridharan Baskar¹,Zhang Zhi-Li³

Affiliation:

1. Microsoft Corporation, Redmond, WA, USA

2. Microsoft Research, Redmond, WA, USA

3. University of Minnesota - Twin Cities, Minneapolis, MN, USA

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Link

https://dl.acm.org/doi/pdf/10.1145/2534169.2486035

Reference33 articles.

1. Central limit theorem. http://en.wikipedia.org/wiki/Central_limit_theorem. Central limit theorem. http://en.wikipedia.org/wiki/Central_limit_theorem.

2. Measure page load time. https://developers.google.com/speed/docs/pss/LatencyMeasure. Measure page load time. https://developers.google.com/speed/docs/pss/LatencyMeasure.

3. Pagespeed tools family. https://developers.google.com/speed/pagespeed/. Pagespeed tools family. https://developers.google.com/speed/pagespeed/.

4. WebPageTest - website performance and optimization test. http://www.webpagetest.org/. WebPageTest - website performance and optimization test. http://www.webpagetest.org/.

5. Yslow. http://yslow.org/. Yslow. http://yslow.org/.

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Reinforcement Learning based Data Placement optimization in Data Center Networks;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. Dynamic self-correcting key performance indicator anomaly detection algorithm;Nondestructive Testing and Evaluation;2023-11-09

3. A novel unsupervised framework for time series data anomaly detection via spectrum decomposition;Knowledge-Based Systems;2023-11

4. Adversarial Density Ratio Estimation for Change Point Detection;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

5. Interactive Learning for Network Anomaly Monitoring and Detection with Human Guidance in the Loop;Sensors;2023-09-11