NDLI: Estimating End-to-End Performance by Collaborative Prediction with Active Sampling

Content Provider	IEEE Xplore Digital Library
Author	Rish, I. Tesauro, G.
Copyright Year	2007
Description	Author affiliation: T.J. Watson Res. Center, IBM, Hawthorne, NY (Rish, I.; Tesauro, G.)
Abstract	Accurately estimating end-to-end performance in distributed systems is essential both for monitoring compliance with service-level agreements (SLAs) and for performance optimization (e.g., choosing the highest-bandwidth server for a download request in a content-distribution system). Due to infeasibility of exhaustive pairwise measurements, a natural alternative is to predict unobserved end-to-end performances from available historic data, with minimal additional measurements. In this paper we present an approach to this based on Collaborative Prediction (CP), an estimation method designed to work with sparse data, that has enjoyed much success in other domains (e.g. product recommendation systems), and obviates the need for landmark nodes commonly assumed in other approaches. Specifically, we use Max-Margin Matrix Factorization (MMMF), a linear factor model for CP that has outperformed state- of-art CP techniques. Moreover, our approach readily admits active sampling based on prediction confidence, and we further propose a novel active-sampling CP approach yielding even higher predictive accuracy, while allowing a flexible trade-off between "exploration" (choosing suboptimal samples to improve estimation accuracy) and "exploitation" (choosing node with best estimated performance). We demonstrate successful empirical results on a variety of practical problems, including network latency prediction (NLANR-AMP, P2PSim and PlanetLab datasets) and bandwidth prediction in content-distribution systems (IBM's downloadGrid data).
Starting Page	294
Ending Page	303
File Size	6916877
Page Count	10
File Format	PDF
ISBN	1424407982
DOI	10.1109/INM.2007.374794
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-21
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collaboration Sampling methods Extraterrestrial measurements Yield estimation Monitoring Optimization Performance evaluation Collaborative work Design methodology Sparse matrices
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A probe prediction approach to overlay network monitoring

Assessing the value of unrated items in collaborative filtering

A method for statistical design centering

QuickYield: An efficient global-search based parametric yield estimation with performance constraints

Sparse structured hoo filter design with for linear systems

Limitations to estimating yield based on in-line defect measurements

Mixture importance sampling and its application to the analysis of SRAM designs in the presence of rare failure events

Distributed Monitoring with Collaborative Prediction

A Study of Web-based Multi-objective Collaborative Design Synthesis and Its Evaluation

Estimating End-to-End Performance by Collaborative Prediction with Active Sampling

Similar Documents

A probe prediction approach to overlay network monitoring

Assessing the value of unrated items in collaborative filtering

A method for statistical design centering

QuickYield: An efficient global-search based parametric yield estimation with performance constraints

Sparse structured hoo filter design with for linear systems

Limitations to estimating yield based on in-line defect measurements

Mixture importance sampling and its application to the analysis of SRAM designs in the presence of rare failure events

Distributed Monitoring with Collaborative Prediction

A Study of Web-based Multi-objective Collaborative Design Synthesis and Its Evaluation

Estimating End-to-End Performance by Collaborative Prediction with Active Sampling