TY - GEN
T1 - Pushing quality of service information and requirements into global query optimization
AU - Ye, Haiwei
AU - Kerhervé, Brigitte
AU - Bochmann, Gregor V.
AU - Oria, Vincent
PY - 2003
Y1 - 2003
N2 - In recent years, a lot of research effort has been dedicated to the management of quality of service (QoS), mainly in the fields of telecommunication networks and multimedia systems. Emerging applications such as electronic commerce, health-care applications, digital publishing or data mining also have requirements regarding the quality of service, the cost of service, the quality of data to be delivered, the accuracy and precision of the retrieved data. These examples show the need to consider the concept of QoS from a broader perspective, requiring the collaboration of all the distributed system components involved. In this paper, we propose an approach to integrate user-defined QoS requirements, together with the dynamic properties of the system components involved, into a distributed query processing environment. We then propose a query optimization strategy in which multiple goals may be considered with separate cost models. Furthermore, we discuss some experiment results confirming the effectiveness of our approach.
AB - In recent years, a lot of research effort has been dedicated to the management of quality of service (QoS), mainly in the fields of telecommunication networks and multimedia systems. Emerging applications such as electronic commerce, health-care applications, digital publishing or data mining also have requirements regarding the quality of service, the cost of service, the quality of data to be delivered, the accuracy and precision of the retrieved data. These examples show the need to consider the concept of QoS from a broader perspective, requiring the collaboration of all the distributed system components involved. In this paper, we propose an approach to integrate user-defined QoS requirements, together with the dynamic properties of the system components involved, into a distributed query processing environment. We then propose a query optimization strategy in which multiple goals may be considered with separate cost models. Furthermore, we discuss some experiment results confirming the effectiveness of our approach.
UR - http://www.scopus.com/inward/record.url?scp=33750876319&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33750876319&partnerID=8YFLogxK
U2 - 10.1109/IDEAS.2003.1214924
DO - 10.1109/IDEAS.2003.1214924
M3 - Conference contribution
AN - SCOPUS:33750876319
SN - 0769519814
SN - 9780769519814
T3 - Proceedings of the International Database Engineering and Applications Symposium, IDEAS
SP - 170
EP - 179
BT - Proceedings of the 7th International Database Engineering and Applications Symposium, IDEAS'03
T2 - 7th International Database Engineering and Applications Symposium, IDEAS'03
Y2 - 16 July 2003 through 18 July 2003
ER -