TY - GEN
T1 - Workload management for dynamic partitioning schemes in replicated databases
AU - Louis-Rodríguez, M.
AU - Navarro, J.
AU - Arrieta-Salinas, I.
AU - Azqueta-Alzuaz, A.
AU - Sancho-Asensio, A.
AU - Armendáriz-Iñigo, J. E.
PY - 2013
Y1 - 2013
N2 - Recent advances on providing transactional support on the cloud rely on keeping databases properly partitioned in order to preserve their beloved high scalability features. However, the dynamic nature of cloud environments often leads to either inefficient partitioning schemes or unbalanced partitions, which prevents the resources from being utilized on an elastic fashion. This paper presents a load balancer that uses offline artificial intelligence techniques to come out with the optimal partitioning design and replication protocol for a cloud database providing transactional support. Performed experiments proof the feasibility of our approach and encourage practitioners to progress on this direction by exploring online and unsupervised machine learning techniques applied to this domain.
AB - Recent advances on providing transactional support on the cloud rely on keeping databases properly partitioned in order to preserve their beloved high scalability features. However, the dynamic nature of cloud environments often leads to either inefficient partitioning schemes or unbalanced partitions, which prevents the resources from being utilized on an elastic fashion. This paper presents a load balancer that uses offline artificial intelligence techniques to come out with the optimal partitioning design and replication protocol for a cloud database providing transactional support. Performed experiments proof the feasibility of our approach and encourage practitioners to progress on this direction by exploring online and unsupervised machine learning techniques applied to this domain.
KW - Cloud computing
KW - Distributed databases
KW - Distributed transactions
KW - Fine-grained partitioning
KW - Lookup tables
UR - http://www.scopus.com/inward/record.url?scp=84884480771&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84884480771
SN - 9789898565525
T3 - CLOSER 2013 - Proceedings of the 3rd International Conference on Cloud Computing and Services Science
SP - 273
EP - 278
BT - CLOSER 2013 - Proceedings of the 3rd International Conference on Cloud Computing and Services Science
T2 - 3rd International Conference on Cloud Computing and Services Science, CLOSER 2013
Y2 - 8 May 2013 through 10 May 2013
ER -