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
fDate :
Nov. 29 2011-Dec. 1 2011
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;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4673-0090-2
DOI :
10.1109/CloudCom.2011.93