Model kolejkowy dla analizy Sieci Inteligentnej

• Autorzy: Kryvinska N. , Jaszczyszyn E.

Warianty tytułu

EN

Intelligent Network analysis by closed network queuing models

• Języki publikacji: PL

Abstrakty

PL

Wraz z wdrażaniem usług Sieci Inteligentnych (ang. Intelligent Network) pojawia się potrzeba oszacowania wydajności systemu w przypadku wykorzystania platformy z rozproszoną inteligencją. Przedstawiony artykuł omawia model kolejkowy dla analizy połączeń telefonicznych (wywołań) Sieci Inteligentnej. Sieć Inteligentna została przedstawiona w postaci sieci kolejkowej przy założeniu, że łączna liczba abonentów (tj. SSP) jest stała, co powoduje, że mamy zamkniętą sieć kolejkową. Rozproszoną architekturę Sieci Inteligentnej przedstawiono w postaci modelu kolejkowego ze źródłem skończonym - M/M/1/K/K. W artykule oszacowano czas oczekiwania odpowiedzi, oraz przedstawiono wyniki analizy i odpowiednie zależności.

EN

With increasing deployment of IN services, design and engineering of network intelligence platforms to accomodate the ever-changing and growing demands of customers, presents a rich market of opportunities and challenges. As telecommunications industry evolves, customers are increasingly coming expecting instantaneous acces to service providers, together with transparency to network failures. System performance dictates that response times need to be minimized, sufficient redundant capacity, to be installed in case of failure and controls embedded within the design to manage the exceptional situations that continually threaten network integrity. The service scenario mixes service demand, physical network topology, signaling message flows, the mapping of functional entities to physical components, and routing as part of the network design process. For the system performance aspect, the most significant changes due to intelligent network are the distribution of network intelligence and the new services made possible by this distributed architecture. In IN environment, a call involves the cooperative processing of several network elements connected by a signaling network. This fundamental change possesses some new challenges to teletraffic experts to ensure that IN network are designed to provide customer's services with good performance. This paper discusses a queuing system model for the performance analysis of IN call processing. The intelligent network is presented as a network of queues where the total number of customers (e.g., SSPs) is fixed, thus forming a closed queuing network. The In distributed architecture is modeled as a finite source queuing model -- M/M/1/K/K. The expected response time for that model is analyzed and computed. The numerical results and the corresponding curves are provided. And, related to open questions, future work is summarized.

Słowa kluczowe

PL

sieć inteligentna; zamknięta sieć kolejkowa; M/M/1/K/K model kolejkowy

EN

intelligent networks; Closed Queuing Network; M/M/1/K/K model

• Wydawca: Wydawnictwo Naukowe PWN SA
• Czasopismo: Kwartalnik Elektroniki i Telekomunikacji
• Rocznik: 2004
• Tom: Vol. 50, z. 1
• Strony: 25--32
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Kryvinska N.

• Institute of Communication Networks, Vienna University ofb Technology Favoritenstrasse 9/388, A-1040, Vienna

autor

Jaszczyszyn E.

• Instytut Radioelektroniki, Politechnika Warszawska, Nowowiejska 15/19, 00-665, Warszawa

Bibliografia

• 1. R. Ackeley, A. Elvidge, T. Ingham, J. Shepherdson: Network Intelligence - Performance by Design. IEICE Transactions on Communication, vol. E80-B, No. 2, February 1997, pp. 219-229.
• 2. J. Yan, D. MacDonald: Teletraffic Performance in Intelligent Network Services. Proceeding of the 14th International Teletraffic Congress, Antibes, Juan-les-Pins, France, June 1994, pp. 357-366.
• 3. E. Masuda, T. Mishima, N. Takaya, K. Nakai, M. Hirano: A Large-Capacity Service Control Node Architecture Using Multicasting Access to Decentralized Databases in the Advanced Intelligent Network. IEICE Transactions on Communication, vol. E84-B, No. 10, October 2001, pp. 2768-2780.
• 4. D. Bertsekas, R. Gallager: Data Networks - Second edition. Prentice-Hall, 1992.
• 5. M. H. van Hoorn: Algorithms and Approximations for Queueing Systems. PhD thesis, Vrije Universiteit te Amsterdam, Mathematical Center, Amsterdam, 1983.
• 6. L. Kleinrock: Queueing Systems. Volume II: Computer Applications. Wiley-Interscience, 1986.
• 7. L. Kleinrock, R. Gail: Solution Manual for Queueing Systems. Volume II : Computer Applications. Technology Transfer Institute, 1986.
• 8. ITU-T Q.1201 Recommendation Principles of Intelligent Network Architecture.
• 9. ITU-T Q.1202 Recommendation Intelligent Network - Service Plane Architecture.
• 10. ITU-T Q.1203 Recommendation Intelligent Network - Global Functional Plane.
• 11. ITU-T Q.1204 Recommendation Intelligent Network - Distributed Functional Plane.
• 12. ITU-T Q.1205 Recommendation Intelligent Network - Physical Plane.
• 13. ITU-T Q.1211-1219 Recommendations Intelligent Network Capability Set 1 - CS-1.
• 14. ITU-T Q.1220-1229 Recommendations Intelligent Network Capability Set 2 - CS-2.