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dc.contributor.author Walpola, MJ
dc.contributor.author Perera, KDAKS
dc.contributor.author Kishanthan, T
dc.contributor.author Perera, HAS
dc.contributor.author Madola, DTHV
dc.contributor.author Perera, S
dc.date.accessioned 2014-06-18T15:44:33Z
dc.date.available 2014-06-18T15:44:33Z
dc.date.issued 2014-06-18
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/10037
dc.description.abstract Modern day systems are facing an avalanche of data, and they are being forced to handle more and more data intensive use cases. These data comes in many forms and shapes: Sensors (RFID, Near Field Communication, Weather Sensors), transaction logs, Web, social networks etc. As an example, weather sensors across the world generate a large amount of data throughout the year. Handling these and similar data require scalable, efficient, reliable and very large storages with support for efficient metadata based searching. This paper present Mahasen, a highly scalable storage for high volume data intensive applications built on top of a peer-to-peer layer. In addition to scalable storage, Mahasen also supports efficient searching, built on top of the Distributed Hash table (DHT). en_US
dc.language.iso en en_US
dc.title Mahasen : distributed storage resource broker en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.identifier.year 2013
dc.identifier.conference Lecture notes in Computer Science
dc.identifier.volume 8147
dc.identifier.pgnos pp. 380-392 en_US


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