NDLI: Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections

Content Provider	IEEE Xplore Digital Library
Author	Pallickara, S.L. Pallickara, S. Zupanski, M. Sullivan, S.
Copyright Year	2010
Abstract	Discovering the correct dataset efficiently is critical for computations and effective simulations in scientific experiments. In contrast to searching web documents over the Internet, massive binary datasets are difficult to browse or search. Users must select a reliable data publisher from the large collection of data services available over the Internet. Once a publisher is selected, the user must then discover the dataset that matches the computationâ€™s needs, among tens of thousands of large data packages that are available. Some of the data hosting services provide advanced data search interfaces but their search scope is often limited to local datasets. Because scientific datasets are often encoded as binary data formats, querying or validating missing data over hundreds of Megabytes of a binary file involves a compute intensive decoding process. We have developed a system, GLEAN, that provides an efficient data discovery environment for users in scientific computing. Fine-grained metadata is automatically extracted to provide a micro view and profile of the large dataset to the users. We have used the Granules cloud runtime to orchestrate the MapReduce computations that extract metadata from the datasets. Here we focus on the overall architecture of the system and how it enables efficient data discovery. We applied our framework to a data discovery application in the atmospheric science domain. This paper includes a performance evaluation with observational datasets.
Starting Page	573
Ending Page	580
File Size	1766138
Page Count	8
File Format	PDF
ISBN	9781424494057
DOI	10.1109/CloudCom.2010.99
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data discovery Cloud computing Processor scheduling Databases Computational modeling Atmospheric modeling Metadata Feature extraction Decoding Large-scale datasets Atmospheric sciences Catalogs
Content Type	Text
Resource Type	Article

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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
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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