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Multicast congestion control srmsh
approach using communicating
real-time state machines
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Título : Multicast congestion control srmsh
approach using communicating
real-time state machines |
Autor : Martinez Bonastre, Oscar Neville, S. |
Editor : World Scientific Publishing Company |
Departamento: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Fecha de publicación: 2010 |
URI : https://hdl.handle.net/11000/31571 |
Resumen :
New real-time applications frequently involve timing constraints related to accurate services
from communication protocols. Concretely, real-time communication protocols utilize timers to
implement these constraints between system event occurrences. In this context, the study of
congestion control for Internet reliable multicast is at present an active research field related
to real-time protocols. In this paper, the authors present an innovative real-time transport
protocol named Scalable Reliable Multicast Stair Hybrid (SRMSH) as new hybrid multiple layer
mechanism for multicast congestion control providing detection and recovery loss. This work
is focused on formal specification of SRMSH approach using Communicating Real-Time State
Machines as a formal method. Besides, SRMSH validation is presented within a formal proof
framework in order to check the functional safety and liveness properties. As a result, authors
outline a dynamical system framework in order to model behavior of their presented solution.
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Palabras clave/Materias: Formal methods real-time transport protocols multicast congestion control reliable multicast layered multicast dynamical systems |
Área de conocimiento : CDU: Ciencias puras y naturales: Matemáticas |
Tipo documento : application/pdf |
Derechos de acceso: info:eu-repo/semantics/closedAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : https://doi.org/10.1142/S0218127410027519 |
Aparece en las colecciones: Artículos Estadística, Matemáticas e Informática
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La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.