Pregled bibliografske jedinice broj: 298467
Efficient Probabilistic Subsumption Checking for Content-Based Publish/Subscribe Systems
Efficient Probabilistic Subsumption Checking for Content-Based Publish/Subscribe Systems // Lecture notes in computer science, 4290 (2006), 121-140 doi:10.1007/11925071_7 (međunarodna recenzija, članak, znanstveni)
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Naslov
Efficient Probabilistic Subsumption Checking for Content-Based Publish/Subscribe Systems
Autori
Ouksel, Aris M. ; Jurca, Oana ; Podnar, Ivana ; Aberer, Karl
Izvornik
Lecture notes in computer science (0302-9743) 4290
(2006);
121-140
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
publish/subscribe systems ; subsumption ; probabilistic algorithm
Sažetak
Efficient subsumption checking, deciding whether a subscription or publication is covered by a set of previously defined subscriptions, is of paramount importance for publish/subscribe systems. It provides the core system functionality - matching of publications to subscriber needs expressed as subscriptions - and additionally, reduces the overall system load and generated traffic since the covered subscriptions are not propagated in distributed environments. As the subsumption problem was shown previously to be co-NP complete and existing solutions typically apply pairwise comparisons to detect the subsumption relationship, we propose a 'Monte Carlo type' probabilistic algorithm for the general subsumption problem. It determines whether a publication/subscription is covered by a disjunction of subscriptions in O(k m d), where k is the number of subscriptions, m is the number of distinct attributes in subscriptions, and d is the number of tests performed to answer a subsumption question. The probability of error is problem-specific and typically very small, and sets an upper bound on d. Our experimental results show significant gains in term of subscription set reduction which has favorable impact on the overall system performance as it reduces the total computational costs and networking traffic. Furthermore, the expected theoretical bounds underestimate algorithm performance because it performs much better in practice due to introduced optimizations, and is adequate for fast forwarding of subscriptions in case of high subscription rate.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
0036030
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Ivana Podnar Žarko
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus