Title :
Prediction of hotspot in data centric storage
Author :
Amiri, Zeynab ; Sabae, Masoud
Author_Institution :
Minist. of Res. Sci. & Technol., Tehran, Iran
Abstract :
Some event stored too far from event discoverer or nodes because of random nature of hash functions in data centric storage techniques and nodes in hash locations deal with handling a lot of events called hotspot problems. Such problems result in high load and decrease total quality. The aim of this paper is to combat these problems. Simulation results show that proposed approach performed significantly better than traditional approaches.
Keywords :
data handling; storage management; data centric storage techniques; events handling; hash functions; hash locations; hotspot prediction; Conferences; Energy storage; Load management; Proposals; Protocols; Sensors; Wireless sensor networks; DCS (Data Centric Storage); GHT (Geographic Hash Table); Hotspot problem;
Conference_Titel :
Digital Information Management (ICDIM), 2011 Sixth International Conference on
Conference_Location :
Melbourn, QLD
Print_ISBN :
978-1-4577-1538-9
DOI :
10.1109/ICDIM.2011.6093346