NDLI: Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling

Content Provider	IEEE Xplore Digital Library
Author	Bang Liu Di Niu Zongpeng Li Zhao, H.V.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada (Bang Liu; Di Niu; Zhao, H.V.) \|\| Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada (Zongpeng Li)
Abstract	With an increasing popularity of real-time applications, such as live chat and gaming, latency prediction between personal devices including mobile devices becomes an important problem. Traditional approaches recover all-pair latencies in a network from sampled measurements using either Euclidean embedding or matrix factorization. However, these approaches targeting static or mean network latency prediction are insufficient to predict personal device latencies, due to unstable and time-varying network conditions, triangle inequality violation and unknown rank of latency matrices. In this paper, by analyzing latency measurements from the Seattle platform, we propose new methods for both static latency estimation as well as the dynamic estimation problem given 3D latency matrices sampled over time. We propose a distance-feature decomposition algorithm that can decompose latency matrices into a distance component and a network feature component, and further leverage the structured pattern inherent in the 3D sampled data to increase estimation accuracy. Extensive evaluations driven by real-world traces show that our proposed approaches significantly outperform various state-of-the-art latency prediction techniques.
Starting Page	307
Ending Page	315
File Size	2749819
Page Count	9
File Format	PDF
ISBN	9781479983810
DOI	10.1109/INFOCOM.2015.7218395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Matrix decomposition Linear matrix inequalities Extraterrestrial measurements Peer-to-peer computing Three-dimensional displays Prediction algorithms Estimation
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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