%0 Conference Proceedings
%T Mahasen: Distributed Storage Resource Broker
%+ Department of Computer Science and Engineering [Moratuwa]
%+ WSO2 Lanka
%A Perera, K.
%A Kishanthan, T.
%A Perera, H.
%A Madola, D.
%A Walpola, Malaka
%A Perera, Srinath
%Z Part 5: Session 5: Miscellaneous
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 10th International Conference on Network and Parallel Computing (NPC)
%C Guiyang, China
%Y Ching-Hsien Hsu
%Y Xiaoming Li
%Y Xuanhua Shi
%Y Ran Zheng
%I Springer
%3 Network and Parallel Computing
%V LNCS-8147
%P 380-392
%8 2013-09-19
%D 2013
%R 10.1007/978-3-642-40820-5_32
%Z Computer Science [cs]Conference papers
%X 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)
%G English
%2 https://inria.hal.science/hal-01513774/document
%2 https://inria.hal.science/hal-01513774/file/978-3-642-40820-5_32_Chapter.pdf
%L hal-01513774
%U https://inria.hal.science/hal-01513774
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-NPC
%~ IFIP-LNCS-8147