On group communication in large-scale distributed systems

Babaoğlu, Özalp; Schiper, André

doi:10.1145/202453.202468

Cited by 15 publications

(11 citation statements)

References 15 publications

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“…In addition, messages for each component would be delivered to all processes in the system, resulting in increased overhead and bandwidth contention. Note that these problems are not specific to the radar tracking system, but have been observed in other large-scale distributed applications and group communication services [1,4,3].…”

Section: Group Compositionmentioning

confidence: 99%

Experiences with group communication middleware

Johnson

Jahanian²,

Ghosh³

et al.

Proceeding International Conference on Dependable Systems and Networks. DSN 2000

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Section: Group Compositionmentioning

confidence: 99%

Experiences with group communication middleware

Johnson

Jahanian²,

Ghosh³

et al.

Proceeding International Conference on Dependable Systems and Networks. DSN 2000

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“…Their approach to providing fault tolerance in large-scale distributed systems consists of distinguishing between different roles or levels for group membership and providing different service guarantees to each level [8].…”

Section: Fault Tolerance In Wide-area Network Systemsmentioning

confidence: 99%

Fault Tolerance in Critical Information Systems

Knight¹,

Elder²

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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. Critical infrastructure applications provide services upon which society depends heavily; such applications require constant, dependable operation in the face of various failures, natural disasters, and other disruptive events that might cause a loss of service. These applications are themselves dependent on distributed information systems for all aspects of their operation, so survivability of these critical information systems is an important issue. Survivability is the ability of a system to continue to provide service, though possibly alternate or degraded, in the face of various types of failure and disruption. A fundamental mechanism by which survivability can be achieved in critical information systems is fault tolerance. Much of the literature on fault-tolerant distributed systems focuses on tolerance of local faults by detecting and masking the effects of those faults. I describe a direction for fault tolerance in the face of non-local faults-faults whose effects have significant non-local impact, sometimes widespread and sometimes catastrophic-where often the effects of these faults cannot be masked using available resources. The goal is to recognize these non-local faults through detection and analysis, then to provide continued service (possibly alternate or degraded) by reconfiguring the system in response to these faults.A specification-based approach to fault tolerance, called RAPTOR, is presented that enables systematic structuring of formal specifications for error detection and recovery, utilizes a translator to synthesize portions of the implementation from the formal specifications, and provides an implementation architecture supporting fault-tolerance activities. The RAPTOR approach consists of three specifications describing the fault-tolerant system, the errors to be detected, and the actions to take to recover from those errors. The RAPTOR System includes a synthesizer, the Fault Tolerance Translator, to generate implementation of code components from the specifications to perform error detection and recovery activities. In addition, a novel implementation architecture incorporates the generated code as part of an infrastructure supporting fault tolerance at both the node and syst...

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“…Our specification is a realisation of the suggestion by Babaoglu and Schiper [21] about using different roles for group members in order to tackle the large scale problem.…”

Section: Contributionsmentioning

confidence: 99%

“…One of the first conceptual approach to large-scale group support, proposed by Babaoglu and Schiper in [21], relied precisely on the differentiation of node roles, distinguishing servers, clients and sinks.…”

Section: Large Scale Client-server Scenariomentioning

confidence: 99%

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Protocolos de pertenencia a grupos para entornos dinámicos

Polo¹,

Carmén²

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En primer lugar me gustaría dar las gracias a mi director de tesis, el Profesor Pablo Galdámez Saiz, por su apoyo y colaboración a lo largo del trabajo científico, y por su ayuda para lidiar con los trámites burocráticos en la etapa final de esta tesis.Al Profesor José M. Bernabéu Aubán agradezco que me diera en primer lugar la oportunidad de entrar a formar parte del grupo de Sistemas Distribuidos. Asimismo, agradezco al Instituto Tecnológico de Informática el haberme permitido investigar durante estos años los problemas de algoritmos distribuidos tratados en esta tesis, y compaginar mi trabajo con la investigación y la docencia en otros campos.Mi agradecimiento también es para el profesor Francesc D. Muñoz Escoí, cuya revisión y asesoramiento han sido de gran ayuda a lo largo de las distintas fases del trabajo. También agradezco al profesor Pietro Manzoni las sugerencias que llevaron a desarrollar laúltima parte de esta tesis.Agradezco igualmente a los revisores de este manuscrito los comentarios y correcciones que han contribuido a mejorarlo y a darle su forma definitiva.Quiero dar las gracias a todos los miembros de los grupos de investigación de Sistemas Fiables y Sistemas Distribuidos del ITI, y en particular a Emili Miedes y Juan Carlos García, con quienes he colaborado directamente en algunos de losúltimos trabajos, y a Rubén de Juan por su colaboración en la revisión de este texto. Hago extensivo mi agradecimiento a todos los compañeros del Instituto por su ayuda con los diferentes problemas técnicos y por hacer el trabajo de cada día más ameno y gratificante.Porúltimo, aunque no por ello menos importante, agradezco a toda mi familia su apoyo yánimo. Y muy especialmente agradezco a Emi el que esté siempre a mi lado, confiando en mí y alentándome a continuar cuando no sé cómo seguir adelante.

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On group communication in large-scale distributed systems

Cited by 15 publications

References 15 publications

Experiences with group communication middleware

Experiences with group communication middleware

Fault Tolerance in Critical Information Systems

Protocolos de pertenencia a grupos para entornos dinámicos

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