DocumentCode
3065037
Title
Leveraging on High-Performance Computing and Cloud Technologies in Digital Libraries: A Case Study
Author
Wittek, Peter ; Daranyi, S.
Author_Institution
Swedish Sch. of Libr. & Inf. Sci., Univ. of Boras, Boras, Sweden
fYear
2011
fDate
Nov. 29 2011-Dec. 1 2011
Firstpage
606
Lastpage
611
Abstract
With the emergence of high-performance computing instances in the cloud, massive scale computations have become available to technically every organization. Digital libraries typically employ a data-intensive infrastructure, but given the resources, advanced services based on data and text mining could be developed. A fundamental issue is the ease of development and integration of such services. We demonstrate the feasibility by providing a case study on a visual machine learning algorithm with MapReduce running in the cloud in a small cluster.
Keywords
cloud computing; data mining; digital libraries; learning (artificial intelligence); text analysis; MapReduce; cloud technologies; data mining; data-intensive infrastructure; digital libraries; high-performance computing; text mining; visual machine learning; Computers; Context; Hardware; Indexing; Libraries; Neurons; Vectors; Cloud Computing; Digital Libraries; High-performance Computing; MapReduce; Self-organizing Maps; Topic Modelling;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on
Conference_Location
Athens
Print_ISBN
978-1-4673-0090-2
Type
conf
DOI
10.1109/CloudCom.2011.93
Filename
6133202
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