TY - GEN
T1 - ERGOT
T2 - 10th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2010
AU - Pirŕo, Giuseppe
AU - Trunfio, Paolo
AU - Talia, Domenico
AU - Missier, Paolo
AU - Goble, Carole
PY - 2010
Y1 - 2010
N2 - The increasing number of available online services demands distributed architectures to promote scalability as well as semantics to enable their precise and efficient retrieval. Two common approaches toward this goal are Semantic Overlay Networks (SONs) and Distributed Hash Tables (DHTs) with semantic extensions. This paper presents ERGOT, a system that combines DHTs and SONs to enable semantic-based service discovery in distributed infrastructures such as Grids and Clouds. ERGOT takes advantage of semantic annotations that enrich service specifications in two ways: (i) services are advertised in the DHT on the basis of their annotations, thus allowing to establish a SON among service providers; (ii) annotations enable semantic-based service matchmaking, using a novel similarity measure between service requests and descriptions. Experimental evaluations confirmed the efficiency of ERGOT in terms of accuracy of search and network traffic.
AB - The increasing number of available online services demands distributed architectures to promote scalability as well as semantics to enable their precise and efficient retrieval. Two common approaches toward this goal are Semantic Overlay Networks (SONs) and Distributed Hash Tables (DHTs) with semantic extensions. This paper presents ERGOT, a system that combines DHTs and SONs to enable semantic-based service discovery in distributed infrastructures such as Grids and Clouds. ERGOT takes advantage of semantic annotations that enrich service specifications in two ways: (i) services are advertised in the DHT on the basis of their annotations, thus allowing to establish a SON among service providers; (ii) annotations enable semantic-based service matchmaking, using a novel similarity measure between service requests and descriptions. Experimental evaluations confirmed the efficiency of ERGOT in terms of accuracy of search and network traffic.
UR - http://www.scopus.com/inward/record.url?scp=77954911014&partnerID=8YFLogxK
U2 - 10.1109/CCGRID.2010.24
DO - 10.1109/CCGRID.2010.24
M3 - Conference contribution
AN - SCOPUS:77954911014
SN - 9781424469871
T3 - CCGrid 2010 - 10th IEEE/ACM International Conference on Cluster, Cloud, and Grid Computing
SP - 263
EP - 272
BT - CCGrid 2010 - 10th IEEE/ACM International Conference on Cluster, Cloud, and Grid Computing
Y2 - 17 May 2010 through 20 May 2010
ER -