Signaling architectures and recovery time scaling for grid applications in IST Project MUPBED

Szegedi, P.; Lakatos, Zsolt; Späth, Jan

doi:10.1109/mcom.2006.1607869

Cited by 13 publications

(5 citation statements)

References 3 publications

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“…3, it can be seen that in a control node the signaling delay (i.e. the time while the signaling message has been processed) is highly depends on the load of the signaling system [15]. In the simulations the assumptions on the statistical behaviour are; the signalling message's arrival process is Poisson, the message processing time is exponentially distributed (modelled by M/M/1 queue), the message transmission time is deterministic (modelled by M/D/1 queue) and the link delay is constant.…”

Section: Illustrative Simulation Resultsmentioning

confidence: 99%

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Optical Networks Functional Evolution and Control Technologies

Szegedi¹,

Gajewski²,

Imajuku³

et al. 2007

IEICE Transactions on Communications

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In this paper the current trends in the optical networking including the physical components, technologies and control architectures are discussed. The possible interaction schemes and implementation models of the automatic communication between applications and network as well as between ASON/GMPLS based network domains are proposed. Finally, the related research activities based on simulation results of control plane dimensioning are illustrated and real test bed experiments on OIF worldwide interoperability demonstration and the ongoing European IST project MUPBED are disseminated.

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Section: Illustrative Simulation Resultsmentioning

confidence: 99%

“…The 100% system load means that the number of unprocessed messages in the queues is starting to increase infinitely, i.e. the system is getting to an unstable state [15].…”

Section: Illustrative Simulation Resultsmentioning

confidence: 99%

Optical Networks Functional Evolution and Control Technologies

Szegedi¹,

Gajewski²,

Imajuku³

et al. 2007

IEICE Transactions on Communications

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“…The intelligent control and management functions are based on the Automatically Switched Optical Network (ASON) or the Generalized Multiprotocol Label Switching (GMPLS) concept. The strategies, presented in the paper, can be realized applying either the GMPLS or the ASON concept with centralized or distributed UNI implementation [7,10].…”

Section: Introduction and Motivationsmentioning

confidence: 99%

Consolidation strategies of provisioning-oriented optical networks

Karasz

2006

J. Opt. Netw.

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Fast provisioning capabilities enabled by signalling intelligence and automated switching flexibility are becoming fundamental features of Next Generation Networks based on optical transport. Throughout the recent years numerous research and development projects, standardisation activities, and a large number of publications have been devoted to fast provisioning enabled optical networks. However, in the related research activities less attention has been paid to network state evolution during the provisioning process. The main scope of the paper is, based on a three-phase network development lifecycle, to define different consolidation strategies in order to improve the performance of provisioning oriented optical networks. The proposal is motivated by the inherent lack of capacity efficiency of optical channel provisioning processes. OCIS codes: 000.1200, 060.0060. 1 The research work presented in this paper has been initiated in the framework of Italian-Hungarian InterGovernmental Project I-17/04 titled "Planning and Implementing Reliable IP over WDM Optical Networks", and partially granted by OTKA 048985 Project titled "Dimensioning and reliability analysis of fault-tolerant networks in Differentiated Reliability (DiR) environment". The author wishes to thank the anonymous reviewers for their helpful comments and suggestions.

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“…For simplicity, the network infrastructure that is used to support Grid applications is called Grid networks. Grid networks require flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and other resources [2]. The key characteristics of Grid networks include adaptability, scalability, heterogeneity, the ability to span different administrative domains, and the support for various QoS levels [1].…”

Section: Introductionmentioning

confidence: 99%

A User-Controlled Lightpath Provisioning System for Grid Optical Networks

Savoie

Zhang

et al. 2006

2006 10th IEEE Singapore International Conference on Communication Systems

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Grid applications require a network to transport data between geographically distributed sites. The key characteristics of Grid networks include adaptability, scalability, heterogeneity, the ability to span different administrative domains, and the support for various QoS levels. Our design objective is to support continuous large traffic flows between a set of known remote sites. We provision dedicated optical connections directly between end user premises. A solution is provided for end users to compose their virtual private networks by using network resources from different suppliers. Our network control mechanism is based on granting end users access to the management interfaces of network elements. End users can reconfigure the route and bandwidth of connections without carrier interventions. In this paper, we propose a layered network management architecture for Grid optical networks. An overview of the design of a user-controlled lightpath provisioning system is presented.

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Signaling architectures and recovery time scaling for grid applications in IST Project MUPBED

Cited by 13 publications

References 3 publications

Optical Networks Functional Evolution and Control Technologies

Optical Networks Functional Evolution and Control Technologies

Consolidation strategies of provisioning-oriented optical networks

A User-Controlled Lightpath Provisioning System for Grid Optical Networks

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