Title :
CASFI Data Sharing Platform
Author :
Aycirieix, Nicolas ; Moon, Sue
Author_Institution :
KAIST, Daejeon, South Korea
Abstract :
Measurement-based research benefits greatly from efficient and minimum-effort management of large-scale data and their metadata. Effective data management has become a key in promoting data sharing within our community. During the past decade, a great deal of effort has been devoted to building Internet data archives. Several institutions run repositories where they post metadata of their collections, along with the data themselves, if their size is not prohibitively large. However, these repositories have been developed independently with different user interfaces, which adds complexity when users look for data of relevance scattered all over the Internet.
Keywords :
Internet; data handling; information retrieval systems; meta data; user interfaces; CASFI data sharing platform; Internet data archives; collect-analyze-and-share for the future Internet; data management; meta data; user interfaces; Clustering algorithms; Collaborative software; Collision mitigation; Contracts; Energy consumption; Laboratories; Protocols; Scheduling; Technology management; Telecommunication network management;
Conference_Titel :
Network Operations and Management Symposium (NOMS), 2010 IEEE
Conference_Location :
Osaka
Print_ISBN :
978-1-4244-5366-5
Electronic_ISBN :
1542-1201
DOI :
10.1109/NOMS.2010.5488656