DocumentCode :
2251176
Title :
Cloud-based content centric storage for large systems
Author :
Jaeger, Michael C. ; Messina, Alberto ; Lorenz, Mirko ; Gogouvitis, Spyridon V. ; Kyriazis, Dimosthenis ; Kolodner, Elliot K. ; Su, Xiaomeng ; Bahar, Enver
Author_Institution :
Corp. Technol., Siemens AG, Munich, Germany
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
987
Lastpage :
994
Abstract :
Content centric storage refers to a paradigm where applications access data objects through information about their content, rather than their path in a hierarchical structure. The application does not need any knowledge about the data store organization, or the place in a storage hierarchy. Rather, the application is able to query for the desired content based on metadata associated with the data objects. We illustrate the need for content centric storage and access through an example from a media production application. Our approach for building an industrial-capable content centric storage employs a cloud storage technology where metadata is treated as first class citizen and extends this technology with an API layer that manages and leverages metadata regarding content.
Keywords :
application program interfaces; cloud computing; content management; meta data; API layer; cloud storage technology; cloud-based content centric storage; data objects; data store organization; hierarchical structure; industrial-capable content centric storage; large systems; metadata; storage hierarchy; Cloud computing; Measurement; Media; Production; Search problems; XML; YouTube;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4673-0708-6
Electronic_ISBN :
978-83-60810-51-4
Type :
conf
Filename :
6354432
Link To Document :
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