Title :
Daedalus: Statistical Aggregation for Large-Scale Dynamic Networks
Author :
Kalyvianaki, Evangelia ; Lu, Yu-En
Author_Institution :
Comput. Lab., Univ. of Cambridge, Cambridge
Abstract :
In this paper we propose Daedalus, a monitoring overlay network designed to compute approximate aggregate functions over multi-million of nodes, dynamic networks. Our design combines techniques from DBs and P2P systems. A small subset of related work is briefly described throughout the paper. Daedalus further extends these ideas to networks of much larger sizes, which we believe is a unique challenge.
Keywords :
computer network management; database management systems; peer-to-peer computing; statistical analysis; Daedalus monitoring overlay network; P2P system; approximate aggregate function; database system; large-scale dynamic network; statistical aggregation; Aggregates; Broadcasting; Computer networks; Condition monitoring; Distributed computing; Large-scale systems; Query processing; Sampling methods; Scalability; Statistics;
Conference_Titel :
INFOCOM 2006. 25th IEEE International Conference on Computer Communications. Proceedings
Conference_Location :
Barcelona
Print_ISBN :
1-4244-0221-2
DOI :
10.1109/INFOCOM.2006.86
