Real-time management of telephone operating company networks: issues and approaches

Kheradpir, S.; Stinson, W.; Vucetic, Jelena; Gersht, A.

doi:10.1109/49.257931

Cited by 12 publications

(4 citation statements)

References 14 publications

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“…TONICS is based on a network model that describes all network objects pertinent to network management, their attributes, and their (static and dynamic) relationships [3]. In this model, the network is partitioned into (intercongected) planes of functionally similar network 'Lomponents.…”

Section: Tonics Management Information Basementioning

confidence: 99%

“…In this environment, TONICS provides automated decision support applications for network management and hosts a networkwide Management Information Base (MIB). The TONICS MIB [3] provides a unified repository for the dynamic and static information of the network and its services and operations, and is central to information processing in the system. Both the TON-ICS software platform and its applications are developed entirely by GTE Labs.…”

mentioning

confidence: 99%

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Integrated network management and control for interactive video dial tone networks

Stinson¹,

Perry²,

Kheradpir³

1995

IEEE Network

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Section: Tonics Management Information Basementioning

confidence: 99%

mentioning

confidence: 99%

Integrated network management and control for interactive video dial tone networks

Stinson¹,

Perry²,

Kheradpir³

1995

IEEE Network

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“…Another area related to our work is network management. From this area Kheradpir et al [16] proposes model based network management to manage the end-to-end network performance and robustness (dependability). They advocate a model based solution for future telecommunication systems to manage the QoS.…”

Section: Related Workmentioning

confidence: 99%

Modelling aspects of model-based dynamic QoS management by the Performability Manager

Franken¹,

Pijpers²,

Haverkort

1994

Computer Performance Evaluation Modelling Techniques and Tools

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The Performability Manager (PM) is a distributed system component which maintains the application-requested QuMity of Service (QoS) by dynamically reconfiguring ANSAware-based distributed applications, using a model-based optimization procedure. The PM receives information about the ANSAware-based application from a distributed monitoring process based on JEWEL and DEMON. With this information, and using predefined stochastic Petri net (SPN) models of AN-SAware applications, the PM automatically constructs an overall SPN performability model which is subsequently used for the determination of the provided QoS. Based on the analysis results, the PM can decide to initiate on-line system reconfigurations, if such is needed for maintaining the requested QoS. ANSAware provides facilities for these dynamic reconfigurations. In this paper we focus on the modelling aspects of model-based dynamic QoS management by the performability manager. We present an ANSAware-based experimental distributed environment in which the modelling and evaluation aspects are totally automated. We ~lso show the feasibility of the proposed PM by presenting some operational results.

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“…Related work on dynamic recon guration, performability has been presented by Shin 25] and de Meer 6]. Model-based performance management has also been presented by Kheradpir et al 14] and Friedrich 11].…”

Section: Introduction To Quality Of Service Managementmentioning

confidence: 99%

Quality of service management using generic modelling and monitoring techniques

Franken¹,

Haverkort

1997

Distrib. Syst. Engng.

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In our previous work, we have presented the performability manager, a distributed environment component that, using a model-based approach, realises and maintains user-requested qos. Generic modelling and monitoring techniques are inevitable for such a model-based approach. The planning of user-requested qos is done by the evaluation of automatically created models out of a library of model components, while achieved qos is checked using monitoring. In this paper we experiment with the generic modelling and monitoring of a multimedia service in an open distributed processing environment. We both use simulation and numerical techniques to evaluate the models. In this particular case study, end-user requested qos is speci ed by throughput, mean end-to-end delay and delay-jitter.

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Real-time management of telephone operating company networks: issues and approaches

Cited by 12 publications

References 14 publications

Integrated network management and control for interactive video dial tone networks

Integrated network management and control for interactive video dial tone networks

Modelling aspects of model-based dynamic QoS management by the Performability Manager

Quality of service management using generic modelling and monitoring techniques

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