Pregled bibliografske jedinice broj: 176583
Agent-based Electronic Market for Optical Bandwidth Trading
Agent-based Electronic Market for Optical Bandwidth Trading // Proceedings of the 12th International Conference on Software, Telecommunications and Computer Networks SoftCOM 2004 / Rožić, Nikola ; Begušić, Dinko (ur.).
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2004. str. 463-467 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 176583 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Agent-based Electronic Market for Optical Bandwidth Trading
Autori
Tržec, Krunoslav ; Mikac, Branko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 12th International Conference on Software, Telecommunications and Computer Networks SoftCOM 2004
/ Rožić, Nikola ; Begušić, Dinko - Split : University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2004, 463-467
Skup
12th International Conference on Software, Telecommunications and Computer Networks SoftCOM 2004
Mjesto i datum
Venecija, Italija; Dubrovnik, Hrvatska; Split, Hrvatska, 10.10.2004. - 13.10.2004
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
electronic market; intelligent agents; rule-based expert system; optical bandwidth trading
Sažetak
This article presents agent-based electronic market (e-market) that enables automated business-to-business (B2B) negotiation and sale of optical bandwidth between connectivity providers. In order to automatically reach service level agreements (SLAs), the intelligent agents (IAs) balance optical bandwidth supply and demand in the e-market using double auction market mechanisms. Introducing an expert system to reason about negotiation strategies according to the market structure and mechanism’ s declarative description, the problem of determining which negotiation strategies to use for a given mechanism is addressed. Using the rule-based expert system intelligent agents can adapt their negotiating behavior to particular market settings without hard-coded prior knowledge of the negotiation mechanism. The advantages of this approach are shown by several experiments in which different types of double auctions have been applied as negotiation mechanisms in the electronic market for optical bandwidth trading. Using agent-based simulation testbed we measured payoffs of heuristic negotiation strategies recommended by the expert system.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
