NDLI: Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation

Content Provider	IEEE Xplore Digital Library
Author	Yusik Kim Germain-Renaud, C.
Copyright Year	2011
Abstract	E-science is moving from grids to clouds. Getting the best of both worlds needs to build on the experience gained by the steady operation of production grids since some years. We propose a new approach for analyzing behavioral traces: as most of them are indeed text documents, state of the art techniques in text mining, and specifically latent Dirichlet allocation, can be exploited. The advantages are twofold: providing some level of explanation inferred from the data, and a relatively scalable way to capture the temporal variability of the behavior of interest, while retaining the full dimensionality of the problem at hand. We experiment the text mining analogy by characterizing file access behavior on data from the steady operation of the largest production grid. We validate the resulting probabilistic model by showing that it is capable of generating synthetic traces statistically consistent with the real ones. The approach would equally apply to wider contexts such as social networks activity or web access.
Starting Page	162
Ending Page	169
File Size	238316
Page Count	8
File Format	PDF
ISBN	9781457721168
DOI	10.1109/UCC.2011.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-05
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Text mining E-science infrastructures Maximum likelihood estimation Correlation Trace Analysis Probabilistic logic Vectors Joints Graphical Models
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

Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation (2011)

it Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation

A Probabilistic Approach to Tweets' Sentiment Classification

Joint Sentiment/Topic extraction from text

Probabilistic Graphical Models of Dyslexia

Mining Divergent Opinion Trust Networks through Latent Dirichlet Allocation

Probabilistic Word Selection via Topic Modeling

Hybrid Correlational Graphical Models for Reasoning in Detecting Systems

Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation

Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation

Similar Documents

Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation (2011)

it Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation

A Probabilistic Approach to Tweets' Sentiment Classification

Joint Sentiment/Topic extraction from text

Probabilistic Graphical Models of Dyslexia

Mining Divergent Opinion Trust Networks through Latent Dirichlet Allocation

Probabilistic Word Selection via Topic Modeling

Hybrid Correlational Graphical Models for Reasoning in Detecting Systems

Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation

Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation