Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloRobust Rate Control for Integrated Services Packet Networks
Anno di pubblicazione2002
Formato-
Autore/iF. Blanchini, R. Lo Cigno, R. Tempo
Affiliazioni autoriF. Blanchini is with the Dipartimento di Matematica e Informatica, Università degli Studi di Udine, 33100 Udine, Italy (e-mail: blanchini@uniud.it). R. Lo Cigno is with the Dipartimento di Elettronica, Politecnico di Torino, 10129 Torino, Italy (e-mail: locigno@polito.it). R. Tempo is with IRITI-CNR, Politecnico di Torino, 10129 Torino, Italy (e-mail: tempo@polito.it).
Autori CNR e affiliazioni
  • ROBERTO TEMPO
Lingua/e-
AbstractResearch on congestion-control algorithms has traditionally focused more on performance than on robustness of the closed-loop system to changes in network conditions. As the performance of the control loop is strictly connected with the quality of service, these systems are natural candidates to be approached by the optimal control theory. Unfortunately, this approach may fail in the presence of transmission delay variations, which are unavoidable in telecommunication systems. In this paper, we first show the fragility of optimal controllers and demonstrate their instability when the control delay is not known exactly. Then we propose a robust control algorithm based on a classical proportional integral derivative scheme which does not suffer from this fragility phenomenon. Its stability versus the control delay variations, as well as versus sources that transmit less than their computed share, is studied with Nyquist analysis. The control algorithm is implemented within a simulator in the framework of the asynchronous transfer mode (ATM) ABR transfer capability. The final part of the paper shows some selected results assessing the performance of the control algorithm in a realistic network environment. ABR was chosen as an example, but the control studied here can be applied in any data network to obtain a robust and reliable congestion-control scheme.
Lingua abstract-
Altro abstract-
Lingua altro abstract-
Pagine da644
Pagine a652
Pagine totali-
Rivista-
Numero volume della rivista10
Fascicolo della rivista-
DOI-
Verificato da referee-
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)-
Parole chiaveIntegrated networks, Congestion control, PID compensator, robustness, uncertain delays
Link (URL, URI)-
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR-
Progetti Europei-
Allegati

    Dati storici
    I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
    Area disciplinareAI, Robotics & Automatic Control
    Area valutazione CIVRIngegneria industriale e informatica
    Rivista ISIIEEE-ACM TRANSACTIONS ON NETWORKING [11003J0]
    Descrizione sintetica del prodottoResearch on congestion-control algorithms has traditionally focused more on performance than on robustness of the closed-loop system to changes in network conditions. As the performance of the control loop is strictly connected with the quality of service, these systems are natural candidates to be approached by the optimal control theory. Unfortunately, this approach may fail in the presence of transmission delay variations, which are unavoidable in telecommunication systems. In this paper, we first show the fragility of optimal controllers and demonstrate their instability when the control delay is not known exactly. Then we propose a robust control algorithm based on a classical proportional integral derivative scheme which does not suffer from this fragility phenomenon. Its stability versus the control delay variations, as well as versus sources that transmit less than their computed share, is studied with Nyquist analysis. The control algorithm is implemented within a simulator in the framework of the asynchronous transfer mode (ATM) ABR transfer capability. The final part of the paper shows some selected results assessing the performance of the control algorithm in a realistic network environment. ABR was chosen as an example, but the control studied here can be applied in any data network to obtain a robust and reliable congestion-control scheme.