TY - GEN
T1 - Predicting hot-spots in distributed cloud databases using association rule mining
AU - Kamal, Joarder Mohammad Mustafa
AU - Murshed, Manzur
AU - Gaber, Mohamed Medhat
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/29
Y1 - 2014/1/29
KW - Association rule mining
KW - Distributed database
KW - Hot-spots
KW - Partitioning
KW - Workload
UR - http://www.scopus.com/inward/record.url?scp=84946689215&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946689215&partnerID=8YFLogxK
U2 - 10.1109/UCC.2014.130
DO - 10.1109/UCC.2014.130
M3 - Conference contribution
AN - SCOPUS:84946689215
T3 - Proceedings - 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, UCC 2014
SP - 800
EP - 805
BT - Proceedings - 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, UCC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014
Y2 - 8 December 2014 through 11 December 2014
ER -