Mitigation of Flash Crowd in Web Services By Providing Feedback Information to Users-Reference-Cited by-同舟云学术

Mitigation of Flash Crowd in Web Services By Providing Feedback Information to Users

Published:2021-01-01 Issue:1 Volume:E104.D Page:63-75
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

TADA Harumasa¹,MURATA Masayuki²,AIDA Masaki³

Affiliation:

1. Faculty of Education, Kyoto University of Education

2. Graduate School of Information Science and Technology, Osaka University

3. Graduate School of Systems Design, Tokyo Metropolitan University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E104.D/1/E104.D_2020MPP0003/_pdf

Reference39 articles.

1. [1] T. John, “Star Wars: Rogue One Pre-Sales Are Crashing Online Ticket Site,” Nov. 2016, http://fortune.com/2016/11/28/star-wars-story-rogue-one-tickets/, accessed Feb. 17. 2020.

2. [2] D. Ackerman, “iPhone X preorders are a mess-let's fix the system,” Oct. 2017, https://www.cnet.com/news/preordering-is-broken-and-heres-how-to-fix-it-iphone-x/, accessed Feb. 17. 2020.

3. [3] X. Chen and J. Heidemann, “Flash crowd mitigation via adaptive admission control based on application-level observations,” ACM Trans. Internet Technology, vol.5, no.3, pp.532-569, Aug. 2005. 10.1145/1084772.1084776

4. [4] I. Ari, B. Hong, E.L. Miller, S.A. Brandt, and D.D. Long, “Managing flash crowds on the internet,” Proc. 11th IEEE/ACM Intl. Symp. on Modeling, Analysis and Simulation of Computer Telecommunications Systems, pp.246-249, 2003. 10.1109/MASCOT.2003.1240667

5. [5] F.F.H. Nah, “A study on tolerable waiting time: How long are web users willing to wait?,” Behaviour & Information Technology, vol.23, no.3, pp.153-163, 2004. 10.1080/01449290410001669914

Cited by 1 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. A statistical analysis of SAMPARK dataset for peer-to-peer traffic and selfish-peer identification;Multimedia Tools and Applications;2022-08-10