TY - GEN
T1 - Cloud computing keeps financial metric computation simple
AU - Navarro, Joan
AU - Azqueta-Alzuaz, Ainhoa
AU - Albino, Pablo Murta Baião
AU - Armendáriz-Iñigo, José Enrique
PY - 2011
Y1 - 2011
N2 - Cloud computing-implemented by tool suites like Amazon S3, Dynamo, or Hadoop-has been designed to overcome classical constraints of distributed systems (i.e. poor scale out, low elasticity, and static behaviour) and to provide high scalability when dealing with large amounts of data. This paper proposes the usage of Hadoop functionalities to efficiently (1) process financial data and (2) detect and correct errors from data repositories; in particular, the work is focused on the database SABI. There is a set of operations that performed with the distributed computation paradigm may increase the calculation performance.
AB - Cloud computing-implemented by tool suites like Amazon S3, Dynamo, or Hadoop-has been designed to overcome classical constraints of distributed systems (i.e. poor scale out, low elasticity, and static behaviour) and to provide high scalability when dealing with large amounts of data. This paper proposes the usage of Hadoop functionalities to efficiently (1) process financial data and (2) detect and correct errors from data repositories; in particular, the work is focused on the database SABI. There is a set of operations that performed with the distributed computation paradigm may increase the calculation performance.
KW - Cloud computing
KW - Data consistency
KW - Hadoop
KW - MapReduce
KW - SABI database
UR - https://www.scopus.com/pages/publications/80052560473
M3 - Conference contribution
AN - SCOPUS:80052560473
SN - 9789898425768
T3 - ICSOFT 2011 - Proceedings of the 6th International Conference on Software and Database Technologies
SP - 143
EP - 148
BT - ICSOFT 2011 - Proceedings of the 6th International Conference on Software and Database Technologies
T2 - 6th International Conference on Software and Database Technologies, ICSOFT 2011
Y2 - 18 July 2011 through 21 July 2011
ER -