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Pregled bibliografske jedinice broj: 96331

Service optimization by self-adaptation in the origination and termination part


Jevtić, Dragan; Sablić, Denis; Čunko, Krešimir
Service optimization by self-adaptation in the origination and termination part // Computers in telecommunications - CTE / Golubić, Stjepan (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2002. str. 147-152 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 96331 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Service optimization by self-adaptation in the origination and termination part

Autori
Jevtić, Dragan ; Sablić, Denis ; Čunko, Krešimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Computers in telecommunications - CTE / Golubić, Stjepan - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2002, 147-152

Skup
MIPRO 2002 - XXV Jubilee international convention

Mjesto i datum
Opatija, Hrvatska, 20.05.2002. - 24.05.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
reinforcement learning; service optimization; client-server communication

Sažetak
Abstract - This paper presents an unconventional approach to designing routing properties in and outside network nodes and other distribution points. The work has been motivated to detect additional capacities hidden inside the information about different abilities and properties of network nodes, links and routing points, particularly because they usually act in distributed environments. Potential redundancy has been detected in telecommunication network consisting of multiple nodes, specialized for routing jobs between the clients and service units. Two communication sites (points) have been subject of our consideration in the given client-server environment. These points belonged to the originating and terminating part of service. Two independent sets of simulation were done for originating part (client) and terminating part (server units) of service. Selection criteria were based on continuous adaptation during the actions. Time shift was used to simulate self adaptation capability for the selection routing points distributed in different time zones. Continuous adaptation was achieved by reinforcement Q-learning. Simulations showed that implementation of knowledge about past behavior could, in particular situations, significantly accelerate the entire service system. There was rapid adaptation and significantly improved performance for self adaptable selection compared to sequential selection in the originating and terminating part of the service.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036004

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Dragan Jevtić (autor)


Citiraj ovu publikaciju:

Jevtić, Dragan; Sablić, Denis; Čunko, Krešimir
Service optimization by self-adaptation in the origination and termination part // Computers in telecommunications - CTE / Golubić, Stjepan (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2002. str. 147-152 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jevtić, D., Sablić, D. & Čunko, K. (2002) Service optimization by self-adaptation in the origination and termination part. U: Golubić, S. (ur.)Computers in telecommunications - CTE.
@article{article, author = {Jevti\'{c}, Dragan and Sabli\'{c}, Denis and \v{C}unko, Kre\v{s}imir}, editor = {Golubi\'{c}, S.}, year = {2002}, pages = {147-152}, keywords = {reinforcement learning, service optimization, client-server communication}, title = {Service optimization by self-adaptation in the origination and termination part}, keyword = {reinforcement learning, service optimization, client-server communication}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Jevti\'{c}, Dragan and Sabli\'{c}, Denis and \v{C}unko, Kre\v{s}imir}, editor = {Golubi\'{c}, S.}, year = {2002}, pages = {147-152}, keywords = {reinforcement learning, service optimization, client-server communication}, title = {Service optimization by self-adaptation in the origination and termination part}, keyword = {reinforcement learning, service optimization, client-server communication}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }




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