TY - GEN
T1 - Skyline-based peer-to-peer top-k query processing
AU - Vlachou, Akrivi
AU - Doulkeridis, Christos
AU - Nørvå, Kjetil
AU - Vazirgiannis, Michalis
PY - 2008/10/1
Y1 - 2008/10/1
N2 - Due to applications and systems such as sensor networks, data streams, and peer-to-peer (P2P) networks, data generation and storage become increasingly distributed. Therefore a challenging problem is to support best-match query processing in highly distributed environments. In this paper, we present a novel framework for top-k query processing in largescale P2P networks, where the dataset is horizontally distributed to peers. Our proposed framework returns the exact results to the user, while minimizing the number of queried super-peers and transferred data. Through simulations we demonstrate the feasibility of our approach in terms of overall response time.
AB - Due to applications and systems such as sensor networks, data streams, and peer-to-peer (P2P) networks, data generation and storage become increasingly distributed. Therefore a challenging problem is to support best-match query processing in highly distributed environments. In this paper, we present a novel framework for top-k query processing in largescale P2P networks, where the dataset is horizontally distributed to peers. Our proposed framework returns the exact results to the user, while minimizing the number of queried super-peers and transferred data. Through simulations we demonstrate the feasibility of our approach in terms of overall response time.
U2 - 10.1109/ICDE.2008.4497576
DO - 10.1109/ICDE.2008.4497576
M3 - Conference contribution
AN - SCOPUS:52649112087
SN - 9781424418374
T3 - Proceedings - International Conference on Data Engineering
SP - 1421
EP - 1423
BT - Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
T2 - 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Y2 - 7 April 2008 through 12 April 2008
ER -