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). © 2013 IFIP International Federation for Information Processing.
Cite
CITATION STYLE
Perera, K. D. A. K. S., Kishanthan, T., Perera, H. A. S., Madola, D. T. H. V., Walpola, M., & Perera, S. (2013). Mahasen: Distributed storage resource broker. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8147 LNCS, pp. 380–392). https://doi.org/10.1007/978-3-642-40820-5_32
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