DOCSLIB.ORG

XLDB Asia 2012: the First Extremely Large Databases Conference at Asia

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
XLDB Asia 2012: the First Extremely Large Databases Conference at Asia XLDB Asia 2012: the First Extremely Large Databases Conference at Asia Xiaofeng Meng Fusheng Wang Renmin University Emory University Beijing, China Atlanta, Georgia, USA [email protected] [email protected] ABSTRACT on building extremely large databases; and trends and The Extremely Large Databases (XLDB) series of confer- strategies for surmounting current hurdles. Different ences/workshops have been held successfully six times in from traditional technique conferences, XLDB confer- recent years. The First XLDB Conference at Asia (XLDB ences are based on invited premium talks by pioneers Asia) was held at Beijing, China on June 22-23, 2012. The and leaders in the field, especially those who are owners conference attracted nearly 200 participants. XLDB takes a of real extremely large data from industries and scien- fresh format on the organization through invited talks, light- tific research, practitioners who are handling the real ning talks and open discussions. Most invited speakers are data, or DBMS researchers who are researching new so- also owners of real extremely large data from industries and lutions. scientific research, practitioners who are handling the real The program of XLDB Asia 2012 consisted of four data, or DBMS researchers who are researching new solu- sessions: reference cases from scientific communities, tions. Based on the enthusiastic embrace and positive feed- reference cases from industries, research topics on big backs from participants, we believe the conference series data management, and lightning talks from a wide spec- will continue as a venue for the discussion on the manage- trum of topics. The conference also provided stimulat- ment and analysis of extremely large data sets with increas- ing discussions with three intensive panel discussions ing popularity. entitled \the Challenges and Requirements for Han- dling Extremely Large Scientific Data", \NoSQL: the 1. INTRODUCTION Cure for Big Data?", and \Evolution or Revolution: Database Research for Big Data". The Extremely Large Database Conferences (XLDB) [1] were established by people with highly demanding data challenges, and researchers and solution providers 2. INVITED SPEAKERS who are developing systems to address such challenges. To provide broad discussions, invited speakers came Encouraged by the success holding of the conferences in from scientific research communities, industries, and the the past five years { four times in the USA and twice at database research community. Speakers include Alexan- Europe, this year the XLDB conference was extended der Szalay from John Hopkins University, a pioneer in to the Asian community. The First Extremely Large astronomic data management, who builds one of the Database Conference at Asia [2] was held at Beijing, largest scientific databases together with Jim Gray from China on June 22-23, 2012, which brought together pre- Microsoft; Joel Saltz from Emory University, a pio- mium speakers around the world and attracted nearly neer in biomedical informatics, who works on extreme 200 participants. scale data analytics and queries of biomedical data; There is no strict definition of \XLDB" [5], and in Kian-Tat Lim from SLAC National Accelerator Lab- many cases it represents a major trend of increasing oratory, Stanford University, who works on designing scales of data and the associated complexity and chal- and building the petabyte-scale data management sys- lenges on managing and analyzing the amount of data. tem for the Large Synoptic Survey Telescope project [3], The goals of the conferences are to provide a meeting one of the coming largest scientific databases; Chenzhou place for database researchers, for businesses with ad- Cui from National Astronomical Observatories, Chinese vanced solutions, and for people from many research Academy of Sciences; and Lizhe Wang from the Cen- disciplines, industries and organizations who need to ter of Earth Observation and Digital Earth, Chinese urgently address real data challenges. Topics include: Academy of Sciences. the state of the art data handling technologies on ex- Industry speakers include Milind Bhandarka, Chief tremely large datasets; practical use cases of current Architect of Greenplum Labs in EMC; Tomasz Nykiel and anticipated data challenges; lessons and innovations from Facebook; Zhengkun Yang, senior scientist from 1 Taobao, the largest online bidding company in China; his talk entitled \Distributed Online Machine Learn- Masaya Mori, the founding director of Rakuten Insti- ing Framework for Big Data" presented Jubatus, the tute of Technology, Japan; Shohei Hido, co-leader of Ju- first open source platform for online distributed ma- batus, Preferred Infrastructure, Inc., Japan; and Eddy chine learning on the data streams of big data. Ju- Cai, Manager of Data Platform Engineering, eBay. batus takes a loose model sharing architecture for ef- Academic speakers include Laura Haas, director of ficient training and sharing of machine learning mod- IBM massive data, analytics and modeling research at els, by defining three fundamental operations, which IBM Almaden Research Center; Martin Kersten, one of matches the Map and Reduce operations in Hadoop. the founders of MonetDB, and a pioneer of column store Milind Bhandarkar reported the results of the \Work- and array database; Xiaodong Zhang from the Ohio shop on Big Data Benchmarking" [4] held at San Jose State University; and Haixun Wang from Microsoft Re- on May 8-9 2012, in which a large number of companies search Asia. and institutions agreed to work on establishing a bench- Besides invited talks, the conference also accepted a mark framework for big data. Zhenkun Yang intro- set of high quality lightning talks and poster presenta- duced Oceanbase, an open source distributed database tions about XLDB related research and systems. system which supports extreme scale of transactions for Taobao. Oceabase provides a hybrid architecture which 3. SCIENTIFIC COMMUNITIES combines high throughput transactions on current data This session featured five invited talks from scientific and large scale analytics on history data. Tom Nykiel communities. Alexander Szalay in the talk entitled \Ex- reported the scalability challenges and solutions of the treme Data-Intensive Scientific Computing" presented Hadoop Distributed Filesystem at Facebook, driven by use cases on data intensive scientific computing. He in- the extreme scale of data, for example, the Hive based troduced the Sloan Digital Sky Survey (SDSS) project, data warehouse stores tens of petabytes of data, in hun- in which large amount of star data from sky images dreds of millions of files. Eddy Cai presented how eBay were collected, analyzed and managed. He also dis- handles big data with low cost way and how to resolve cussed a cheap, yet high performance multi-petabyte business question based on technical solutions. system currently under construction at John Hopkins The Panel discussion entitled \NoSQL: the Cure for University. Joel Saltz introduced their work on high Big Data?" had a broad discussion of a variety of topics performance pathology image processing pipeline with on NoSQL, and the panelists shared their experiences hybrid CPU/GPU architecture to support feature ex- on the difficulty to find a single perfect solution, and traction, machine learning, and querying and compar- their visions on how NoSQL and RDBMS could inter- ing results on \big image data". Kian-Tat Lim from play. SLAC introduced an open-source database management system \qserv", which aims to manage massive amount 5. THE DATABASE COMMUNITY of astronomical data. Preliminary experiments have The session of research on big data management fea- demonstrated the feasibility on managing and process- tured four invited talks. Laura Haas analyzed four ing 32TB data with a cluster of 150 nodes. Lizhe Wang types of data integration problems, and introduced the presented their work on data intensive computing for challenges of integrating extremely large data. Xiaodong earth observation, and outlined their major focuses and Zhang introduced a scale-out model for big data soft- challenges. Chenzhou Cui introduced projects on vir- ware development in distributed systems. The model tual observatories, and increasing data challenges for generalizes critical computation and communication be- coming projects in the area at extreme scale. The ses- havior and computation-communication interactions for sion was concluded with the panel discussion \the Chal- big data analytics in a scalable and fault-tolerant man- lenge and Requirements for Handling Extremely Large ner. Haixun Wang in his talk entitled \Managing and Scientific Data", in which the panelists discussed the Mining Billion-Node Graphs" presented the challenges challenges, the experiences and prospectives on analyz- posed by big graph data generated from Web and social ing and managing big scientific data. network applications, the constraints of architectural design, the different types of application needs, and the 4. INDUSTRIES power of different programming models that support The industry session featured six invited talks. Masaya such needs. Martin Kersten presented a new query lan- Mori presented a real case of utilizing Hadoop and cop- guage SciQL to support powerful queries on top of the ing with BigData in Rakuten, to support business data array database MonetDB, and introduced use cases to mining, product ranking, product search and online ad- support scientific applications. vertisement for e-commerce. He also introduced the This
Load more

Recommended publications
  • XLDB-2018 Conference Chairman
    Welcome! Jacek Becla XLDB-2018 Conference Chairman XLDB-2018, Jacek Becla XLDB Goals & Focus 1. Exchange information Identify trends, commonalities and major roadblocks 2. Bridge gaps Bridge the gap between users solution providers worldwide 3. Facilitate growth Facilitate development and growth of practical technologies Main focus on practical aspects data management & complex analytics at extreme scale XLDB-2018, Jacek Becla 2 XLDB1, SLAC, CirCA 2007 XLDB-2018, Jacek Becla 3 Workshop Conference Location 2007 1 day Stanford, USA 2008 1 day Stanford, USA 2009 1 day Stanford, USA 2010 1 day 2 days Stanford, USA 2011 1 day 2 days Edinburgh, Scotland 2012 1 day 2 days Beijing,China 2013 1 day 2 days Geneva, Switzerland Rio de Janeiro, Brazil 2014 New York -- Healthcare 2015 1 day 2 days Stanford, USA 2016 3 days Stanford, USA 2017 3 days Clermont-Ferrand, France XLDB-2018, Jacek Becla 4 others science academia industries vendors XLDB-2018, Jacek Becla 5 600+ subscribers 69,157 views XLDB-2018, Jacek Becla 6 Philosophy • Stable – “don’t change it if it is not broken” • Small fine tunings and adjustments XLDB-2018, Jacek Becla 7 XLDB-2018 XLDB-2018, Jacek Becla 8 XLDB-2018 • Back @Stanford • 3 days, no workshop • Single track • Lightning talks, best-talk voting. Posters displayed all day – best 2 talks will get plenary slot at XLDB-2018+1 • Focus on practical, real-world solutions • Industry/science mix • Videotaping and publishing • Lots of time to socialize • Superb speakers, and technically savvy audience XLDB-2018, Jacek Becla 9 Logistics & Miscellaneous XLDB-2018, Jacek Becla 10 Social Event • Included in registration fee for all attendees • Tonight, 5:00pm • Light appetizers and beverages • Non-seated • Display your badge XLDB-2018, Jacek Becla 11 Miscellaneous • Slides will be published this week • Videos will be published NLT June • Wear your name tag at all times • Wireless: – Visitor.
    [Show full text]
  • Geoclef 2007: the CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview
    GeoCLEF 2007: the CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview Thomas Mandl1, Fredric Gey2, Giorgio Di Nunzio3, Nicola Ferro3, Ray Larson2, Mark Sanderson4, Diana Santos5, Christa Womser-Hacker1, Xing Xie6 1Information Science, University of Hildesheim, Germany [email protected], [email protected] 2University of California, Berkeley, CA, USA [email protected], [email protected] 3Department of Information Engineering, University of Padua, Italy [email protected], [email protected] 4Department of Information Studies, University of Sheffield, Sheffield, UK [email protected] 5Linguateca, SINTEF ICT, Norway [email protected] 6Microsoft Research Asia, Beijing, China [email protected] Abstract. GeoCLEF ran as a regular track for the second time within the Cross Language Evaluation Forum (CLEF) 2007. The purpose of GeoCLEF is to test and evaluate cross-language geographic information retrieval (GIR): retrieval for topics with a geographic specification. GeoCLEF 2007 consisted of two sub tasks. A search task ran for the third time and a query classification task was organized for the first. For the GeoCLEF 2007 search task, twenty-five search topics were defined by the organizing groups for searching English, German, Portuguese and Spanish document collections. All topics were translated into English, Indonesian, Portuguese, Spanish and German. Several topics in 2007 were geographically challenging. Thirteen groups submitted 108 runs. The groups used a variety of approaches. For the classification task, a query log from a search engine was provided and the groups needed to identify the queries with a geographic scope and the geographic components within the local queries. 1 Introduction GeoCLEF1 is the first track in an evaluation campaign dedicated to evaluating geographic information retrieval systems.
    [Show full text]
  • Bio Statement Form
    ALEXANDER SANDOR SZALAY Alumni Centennial Professor of Physics and Astronomy Tel: (410)-516-7217 Department of Physics and Astronomy Fax: (410)-516-5096 and Professor, Department of Computer Science email: [email protected] The Johns Hopkins University, Baltimore http://www.sdss.jhu.edu/~szalay Professional Preparation B.Sc. Physics Kossuth University, Hungary 1969 M.Sc. Theor. Physics Eötvös University, Budapest 1972 Ph.D. Astrophysics Eötvös University, Budapest 1975 Appointments Research Associate Eötvös University, Budapest 1975-1980 Research Associate University of California, Berkeley 1980-1981 Research Associate The University of Chicago 1981-1982 Assistant Professor Eötvös University, Budapest 1982-1986 Staff Scientist Fermilab 1984-1986 Associate Professor Eötvös University, Budapest 1986-1987 Professor Eötvös University, Budapest 1987-present Professor The Johns Hopkins University 1989-1998 Alumni Centennial Chair The Johns Hopkins University 1998-present Professor of Computer Science The Johns Hopkins University 2001-present Other Academic Experience (six months or more): Research Associate University of California, Berkeley 1984 Visiting Professor The University of Chicago 1984-1986 Visiting Professor The Johns Hopkins University 1987-1989 Awards: First Prize, Storage Challenge, Supercomputing 08 2008 Honorary Doctorate, Eötvös University Budapest 2008 Microsoft Jim Gray Award 2007 Humboldt Research Award, Alexander von Humboldt Foundation 2004 Fellow, American Academy of Arts and Sciences 2003 Eötvös Medal of the Hungarian Physical Society 1997 Associate of the Canadian Inst. for Advanced Research 1991 Szechenyi Prize of the Hungarian Republic 1991 Corresp. Member of the Hungarian Academy of Sciences 1990 E.W. Fullam Prize of the Dudley Observatory 1990 International Physics Olympics, Warsaw, Poland, First Prize 1967 Short Biographical Sketch Alexander Szalay Alexander Szalay is the Alumni Centennial Professor of Astronomy at the Johns Hopkins University.
    [Show full text]
  • Frontiers in Massive Data Analysis
    PREPUBLICATION DRAFT–Subject to Further Editorial Correction Frontiers in Massive Data Analysis Committee on the Analysis of Massive Data Committee on Applied and Theoretical Statistics Board on Mathematical Sciences and Their Applications Division on Engineering and Physical Sciences THE NATIONAL ACADEMIES PRESS Washington, D.C. www.nap.edu PREPUBLICATION DRAFT – Subject to Further Editorial Correction THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001 NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of Sciences, the National Academy of Engineering, and the Institute of Medicine. The members of the committee responsible for the report were chosen for their special competences and with regard for appropriate balance. This project was supported by the National Security Agency under contract number NSA H98230-09-C- 0407. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the organizations or agencies that provided support for the project. International Standard Book Number 13: 978-0-309-xxxxx-x International Standard Book Number 10: 0-309-xxxxx-x Additional copies of this report are available from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu. Suggested citation: National Research Council. 2013. Frontiers in Massive Data Analysis. Washington, D.C.: The National Academies Press. Copyright 2013 by the National Academy of Sciences. All rights reserved.
    [Show full text]
  • Energetics Science and Technology in China
    Energetics Science and Technology in China Energetics Science and Technology in China James M. Short Robert A. Kavetsky Michael G. Pecht Davinder K. Anand Center for Energetic Concepts Development Series University of Maryland, College Park, Maryland Library of Congress Control Number: 2010938181 The book contains information from authentic and highly regarded sources. Reprinted material is quoted and credit is given when appropriate. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the authors and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use. The views of this book are solely the views of the authors. No opinions, statements of fact, or conclusions contained in this document can be properly attributed to the Department of Defense, the Office of Naval Research, or its contracting agencies. Neither this book nor any part may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, microfilming, and recording, or by any information storage or retrieval system, without prior permission in writing from CECD. CECD consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific permission must be obtained in writing from CECD for such copying. Direct all inquiries to: CECD 2140 Glenn L. Martin Hall University of Maryland College Park, MD 20742 Ph.: (301) 405-5205 http://www.cecd.umd.edu 2010 CECD International Standard Book Number 978-0-9846274-0-0 Printed in Hong Kong Preface Two monthefore its use, the thermobaric warhead u When we think of energetics, inevitably we think of explosives, propellants, firecrackers, gunpowder, and then China, since it is there that gunpowder was first invented.
    [Show full text]
  • Making Databases Work: the Pragmatic Wisdom of Michael Stonebraker Editor: Michael L
    Making Databases Work ACM Books Editor in Chief M. Tamer Ozsu,¨ University of Waterloo ACM Books is a new series of high-quality books for the computer science community, published by ACM in collaboration with Morgan & Claypool Publishers. ACM Books publications are widely distributed in both print and digital formats through booksellers and to libraries (and library consortia) and individual ACM members via the ACM Digital Library platform. Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker Editor: Michael L. Brodie 2018 The Handbook of Multimodal-Multisensor Interfaces, Volume 2: Signal Processing, Architectures, and Detection of Emotion and Cognition Editors: Sharon Oviatt, Monash University Bjorn¨ Schuller, University of Augsburg and Imperial College London Philip R. Cohen, Monash University Daniel Sonntag, German Research Center for Artificial Intelligence (DFKI) Gerasimos Potamianos, University of Thessaly Antonio Kr¨uger, Saarland University and German Research Center for Artificial Intelligence (DFKI) 2018 Declarative Logic Programming: Theory, Systems, and Applications Editors: Michael Kifer, Stony Brook University Yanhong Annie Liu, Stony Brook University 2018 The Sparse Fourier Transform: Theory and Practice Haitham Hassanieh, University of Illinois at Urbana-Champaign 2018 The Continuing Arms Race: Code-Reuse Attacks and Defenses Editors: Per Larsen, Immunant, Inc. Ahmad-Reza Sadeghi, Technische Universit¨at Darmstadt 2018 Frontiers of Multimedia Research Editor: Shih-Fu Chang, Columbia University 2018 Shared-Memory
    [Show full text]
  • Mandletaloverview.Pdf
    promoting access to White Rose research papers Universities of Leeds, Sheffield and York http://eprints.whiterose.ac.uk/ This is an author produced version of a paper published in Lecture Notes in Computer Science. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/4558/ Published paper Mandl, T., Gey, F., Di Nunzio, G., Ferro, N., Larson, R., Sanderson, M., Santos, D., Womser-Hacker, C. and Xie, X. (2008) GeoCLEF 2007: the CLEF 2007 cross-language geographic information retrieval track overview. In: Advances in Multilingual and Multimodal Information Retrieval : 8th Workshop of the Cross- Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007 - Revised Selected Papers. Lecture Notes in Computer Science (5152). Springer White Rose Research Online [email protected] GeoCLEF 2007: the CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview Thomas Mandl1, Fredric Gey2, Giorgio Di Nunzio3, Nicola Ferro3, Ray Larson2, Mark Sanderson4, Diana Santos5, Christa Womser-Hacker1, Xing Xie6 1Information Science, University of Hildesheim, Germany [email protected], [email protected] 2University of California, Berkeley, CA, USA [email protected], [email protected] 3Department of Information Engineering, University of Padua, Italy [email protected], [email protected] 4Department of Information Studies, University of Sheffield, Sheffield, UK [email protected] 5Linguateca, SINTEF ICT, Norway [email protected] 6Microsoft Research Asia, Beijing, China [email protected] Abstract. GeoCLEF ran as a regular track for the second time within the Cross Language Evaluation Forum (CLEF) 2007. The purpose of GeoCLEF is to test and evaluate cross-language geographic information retrieval (GIR): retrieval for topics with a geographic specification.
    [Show full text]
  • EPSC2014-586-3, 2014 European Planetary Science Congress 2014 Eeuropeapn Planetarsy Science Ccongress C Author(S) 2014
    EPSC Abstracts Vol. 9, EPSC2014-586-3, 2014 European Planetary Science Congress 2014 EEuropeaPn PlanetarSy Science CCongress c Author(s) 2014 Planetary GIS interfaces and links with the Planetary Virtual Observatory A. P. Rossi, P. Baumann, A. Beccati (1), B. Cecconi, S. Erard (2), C. Marmo (3) (1) Jacobs University Bremen, Germany (2) LESIA, Observatoire de Paris/CNRS/UPMC/Univ. Paris-Diderot, France, (3) GEOPS, Université Paris-Sud, France ([email protected]) 1. Introduction provide to the calling entity just the results of a server-side executed process, as demonstrated in Planetary data with a strong geographic component applications to atmosphere data services [e.g. 11]. In constitute a large portion of all those collected over addition, and, as a strongly complementary option, planets and moons [e.g. 1]. The variety of Solar map streaming with protocols and interfaces such as System bodies imaged and their geometry is large Web Map Service (WMS) [e.g. 12] allow for easy and cartographic standards have been set [e.g. 2]. rendering of large amounts of data remotely. Linking and making broadly accessible the growing amount of data in planetary archives of the NASA The link between GIS/OGC interfaces and Planetary Planetary Data System (PDS) [3, 4] and ESA Virtual Observatory ones, in terms – among others - Planetary Science Archive (PSA) [5], derived of metadata and query capabilities are being explored. datasets from experiment teams, group and individual The growing set of multi-mission, multi-experiment scientists is a tremendous challenge. In order to data on a variety of solar system bodies calls for such tackle this, Virtual Observatory (VO) techniques and integration.
    [Show full text]
  • Stanford Visitor
    Welcome! Jacek Becla XLDB-2015 Conference Chairman SLAC National Accelerator Laboratory XLDB-2015, Jacek Becla 1 XLDB Goals & Focus 1. Exchange information Identify trends, commonalities and major roadblocks 2. Bridge gaps Bridge the gap between users solution providers worldwide 3. Facilitate growth Facilitate development and growth of practical technologies Main focus on practical aspects data management & complex analytics at extreme scale XLDB-2015, Jacek Becla 2 XLDB1, SLAC, circa 2007 XLDB-2015, Jacek Becla 3 1. Invitational workshop 2. Open conference 3. Satellite / topical events XLDB-2015, Jacek Becla 4 Workshop Conference Satellite 2007 X 2008 X 2009 X 2010 X X 2011 X X Edinburgh / Scotland 2012 X X Beijing / China 2013 X X Geneva / Switzerland Rio de Janeiro / Brazil 2014 New York -- Healthcare 2015 X X 2015 or 2016 D.C. – XLDB for Government ? 2016 Santiago / Chile ? XLDB-2015, Jacek Becla 5 others science academia industries vendors XLDB-2015, Jacek Becla 6 XLDB-2015, Jacek Becla 7 Philosophy • Stable – “don’t change it if it is not broken” • Small fine tunings and adjustments XLDB-2015, Jacek Becla 8 “big data conference” XLDB-2015, Jacek Becla 9 “big data expert” XLDB-2015, Jacek Becla 10 XLDB-2015, Jacek Becla 11 XLDB-2015 XLDB-2015, Jacek Becla 12 Unchanged • @ Stanford • Single track • Lightning talks + posters, best-talk voting – best 2 talks will get plenary slot at XLDB-2015+1 • Focus on practical, real-world solutions • Industry/science mix • Videotaping and publishing • Lots of time to socialize • As many power
    [Show full text]
  • Fusheng Wang
    FUSHENG WANG Phone: (631)632-2594 Email: [email protected] 2313D Computer Science, Stony Brook, NY 11794-8330 Homepage: https://www.cs.stonybrook.edu/~fuswang/ CURRENT TITLES AND AFFILIATIONS • Associate Professor, Department of Biomedical Informatics, Department of Computer Science, Stony Brook University, January 2018 - present PREVIOUS ACADEMIC AND PROFESSIONAL APPOINTMENTS • Assistant professor, Department of Biomedical Informatics, Department of Computer Science, Stony Brook University, January 2015-December 2017 • Adjunct assistant professor, Department of Biomedical Informatics, Emory University December 2011 – December 2016 • Assistant professor, Department of Biomedical Informatics, Emory University, December 2011 – January 2015 • Senior research scientist, Center for Comprehensive Informatics, Emory University, January 2009 – September 2013 • Research scientist, Siemens Corporate Research, October 2004 – January 2009 EDUCATION • Ph.D. in Computer Science, University of California, Los Angeles October 2004 • M.S. in Computer Science, University of California, Los Angeles December 2000 • M.S. in Engineering Physics, Tsinghua University July 1997 • B.S. in Applied Physics, Tsinghua University July 1994 • RESEARCH FOCUS Scalable data management systems, spatial and temporal data management and analytics, GIS, medical imaging informatics, population health and public health HONORS AND AWARDS 2018 IEEE Big Data Conference Big Spatial Data Best paper award 2016 SIGSPATIAL Conference Best Poster Award 2016 The International
    [Show full text]
  • REPORT from the SATELLITE WORKSHOP on EXTREMELY LARGE DATABASES for SOUTH AMERICA Jacek Becla*1, Bill Howe2
    REPORT FROM THE SATELLITE WORKSHOP ON EXTREMELY LARGE DATABASES FOR SOUTH AMERICA Jacek Becla*1, Bill Howe2 *1 Email: [email protected] 2 Email: [email protected] ABSTRACT Since 2007, Extremely Large Databases (XLDB) events have been organized to host influential discussions on topics relating to extreme-scale databases – holding terabytes through exabytes of data – and to bring together different communities working on Big Data challenges. The XLDB event series includes annual “main” events, typically organized at Stanford University in the USA, and “satellite” events organized outside of North America to reach out to local communities. Past satellite events have been held in Europe and Asia. An XLDB event was organized in June 2014 in Brazil to connect with the South American communities. Keywords: analytics, database, petascale, exascale, XLDB, big data, extreme-scale 1 ABOUT THE XLDB Extremely Large Databases (XLDB) events attempt to tackle challenges related to extreme- scale data sets. Main activities include identifying trends, commonalities, and roadblocks related to managing and analyzing extreme scale data sets, as well as facilitating the development and growth of appropriate technologies including (but not limited to) databases. XLDB attendees include a mix of data-intensive industrial and scientific users, as well as big data academic researchers, and vendors. Since 2007, the XLDB community has met annually each fall at Stanford University in California. In addition, satellite events have been organized on different continents to connect with, and engage local communities working on data-intensive challenges. Such events were held in Edinburgh, UK, in 2011; Beijing,China, in 2012 and in Geneva, Switzerland, in 2013.
    [Show full text]
  • Geoclef 2006: the CLEF 2006 Cross-Language Geographic Information Retrieval Track Overview
    promoting access to White Rose research papers Universities of Leeds, Sheffield and York http://eprints.whiterose.ac.uk/ White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/4536/ Workshop paper Gey, F., Larson, R., Sanderson, M., Bischoff, K., Mandl, T., Womser-Hacker, C., Santos, D., Rocha, P., Di Nunzio, G.M. and Ferro, N. (2006) GeoCLEF 2006: the CLEF 2006 Ccross-language geographic information retrieval track overview. In: Working Notes for the CLEF 2006 Workshop. Cross Language Evaluation Forum, 20-22 September, 2006, Alicante, Spain White Rose Research Online [email protected] GeoCLEF 2006: the CLEF 2006 Cross-Language Geographic Information Retrieval Track Overview Fredric Gey1, Ray Larson1, Mark Sanderson2, Kerstin Bischoff 3, Thomas Mandl 3, Christa Womser-Hacker 3, Diana Santos4, Paulo Rocha4, 1University of California, Berkeley, CA, USA [email protected] , [email protected] 2Department of Information Studies, University of Sheffield, Sheffield, UK [email protected] 3 Information Science, University of Hildesheim, GERMANY {mandl|womser}@uni-hildesheim.de 4 Linguateca, SINTEF ICT, NORWAY [email protected], [email protected] WITH Giorgio M. Di Nunzio6, Nicola Ferro6 6Department of Information Engineering, University of Padua, Italy {dinunzio|ferro}@dei.unipd.it Abstract. After being a pilot track in 2005, GeoCLEF advanced to be a regular track within CLEF 2006. The purpose of GeoCLEF is to test and evaluate cross-language geographic information retrieval (GIR): retrieval for topics with a geographic specification. For GeoCLEF 2006, twenty-five search topics were defined by the organizing groups for searching English, German, Portuguese and Spanish document collections.
    [Show full text]