Request type prediction for Web robot and Internet of Things traffic
- Published
- Accepted
- Subject Areas
- Computer Networks and Communications, Data Mining and Machine Learning, World Wide Web and Web Science
- Keywords
- Web robot, Internet of Things, Request prediction, Web systems, Web crawler, User behavior modeling
- Copyright
- © 2015 Doran et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2015. Request type prediction for Web robot and Internet of Things traffic. PeerJ PrePrints 3:e1386v1 https://doi.org/10.7287/peerj.preprints.1386v1
Abstract
The volume of Web robot traffic seen by Web servers and clouds continue to increase with the popularity of Internet of Things (IoT) devices. Such traffic exhibits decidedly different statistical and resource request patterns compared to humans. However, the optimizations ensuring high levels of Web systems and cloud performance requires traffic to exhibit the statistical and behavioral patterns of humans, not robots. This necessitates the design of novel Web system optimizations to handle Web robot traffic effectively. Caches are a basic component of high performing Web systems, but their effectiveness relies on accurate resource request prediction. In this paper, we explore a suite of classifiers for the resource request type prediction problem for robot traffic. Our analysis reveals: (i) a striking difference in the request patterns of robots across multiple servers from the same domain; and (ii) that Elman neural networks hold promise to predict request types despite these differences.
Author Comment
This is a preprint of an article accepted for publication at IEEE ICMLA 2015. Please cite as:
N. Rude and D. Doran. "Request Type Prediction for Web Robot and Internet of Things Traffic" Proc. of IEEE Intl. Conference on Machine Learning and Applications, Miami, Florida, December 2015