The Bayou Architecture: Support for Data Sharing Among Mobile Users

Demers, Alan; Petersen, Karin Anna; Spreitzer, Mike; Ferry, Dharma; Theimer, Marvin; Welch, Brent

doi:10.1109/wmcsa.1994.37

Cited by 175 publications

(35 citation statements)

References 26 publications

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“…In den Jahren 1994-1997 entwickelte die Gruppe ,,Mobile Computing" am Lehrstuhl Rechnernetze der TU Dresden im Rahmen des GISMO-Projektes [32,33,34] (5). Schließlich kann der modifizierte Datenkörper ausgeliefert werden (6).…”

Section: Grundmodellunclassified

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Unterstützungsmechanismen für Mobile-Computing-Systeme

Schill

Thomas

Ziegert

2001

Informatik Forsch Entw

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Section: Grundmodellunclassified

“…), die nicht in der vorgegebenen Liste enthalten sind, werden entfernt. Auf die Anhänge werden die definierten Filter angewendet (5). Diese enthalten konfigurierbare Schwellenwerte für die Datengröße einzelner Datentypen.…”

Section: Beispielanwendung E-mailunclassified

Unterstützungsmechanismen für Mobile-Computing-Systeme

Schill

Thomas

Ziegert

2001

Informatik Forsch Entw

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“…For example, weakly-consistent distributed databases such as Bayou [5] provide specific models with well-defined consistency/availability tradeoffs; disconnected filesystems such as Coda [16] explicitly argued for availability over strong consistency; and expiration-based consistency mechanisms such as leases [12] provide fault-tolerant consistency management. These examples suggest that there is a Weak CAP Principle which we have yet to characterize precisely: The stronger the guarantees made about any two of strong consistency, high availability, or resilience to partitions, the weaker the guarantees that can be made about the third.…”

Section: Related Work and The Cap Principlementioning

confidence: 99%

Harvest, yield, and scalable tolerant systems

Fox

Brewer²

Proceedings of the Seventh Workshop on Hot Topics in Operating Systems

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The cost of reconciling consistency and state management with high availability is highly magnified by the unprecedented scale and robustness requirements of today's Internet applications. We propose two strategies for improving overall availability using simple mechanisms that scale over large applications whose output behavior tolerates graceful degradation. We characterize this degradation in terms of harvest and yield, and map it directly onto engineering mechanisms that enhance availability by improving fault isolation, and in some cases also simplify programming. By collecting examples of related techniques in the literature and illustrating the surprising range of applications that can benefit from these approaches, we hope to motivate a broader research program in this area. Motivation, Hypothesis, RelevanceIncreasingly, infrastructure services comprise not only routing, but also application-level resources such as search engines [15], adaptation proxies [8], and Web caches [20].These applications must confront the same 24 7 operational expectations and exponentially-growing user loads as the routing infrastructure, and consequently are absorbing comparable amounts of hardware and software. The current trend of harnessing commodity-PC clusters for scalability and availability [9] is reflected in the largest web server installations. These sites use tens to hundreds of PC's to deliver 100M or more read-mostly page views per day, primarily using simple replication or relatively small data sets to increase throughput.The scale of these applications is bringing the wellknown tradeoff between consistency and availability [4] into very sharp relief. In this paper we propose two general directions for future work in building large-scale robust systems. Our approaches tolerate partial failures by emphasizing simple composition mechanisms that promote fault containment, and by translating possible partial failure modes into engineering mechanisms that provide smoothlydegrading functionality rather than lack of availability of the service as a whole. The approaches were developed in the context of cluster computing, where it is well accepted [22] that one of the major challenges is the nontrivial software engineering required to automate partial-failure handling in order to keep system management tractable.

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“…A number of systems have been developed to explore architectures that can meet these various constraints and requirements. Pitoura and Samarso [5] and Jing et al [6] survey a range of these systems, in particular Bayou [7], Odyssey [8] and Rover [9], and explore a number of their features. The most common themes among the mobilised architectures described can be summarised under the general headings of proxy (agent) roles, knowledge representation and transaction management.…”

Section: Mobile Computing Architecturesmentioning

confidence: 99%

Java Architectures for Mobilised Enterprise Systems

Parsons

Proceedings of the 38th Annual Hawaii International Conference on System Sciences

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The coming generation of mobile phones will enable objects from enterprise systems to be distributed across a range of devices of different scales. This object mobility will provide for applications that can take advantage of device-local data and processes to support rich client interaction. However, such mobilised applications bring with them new challenges for the software architect. Distributed objects running on telephones or other small mobile devices will have to work within a number of key constraints, such as limitations on memory and available APIs, and the need to maintain data integrity. This paper focuses on the issues of distributed architectures where objects are able to run on mobile devices but must be universally synchronised. Specifically, it looks at how aspects of current and developing Java APIs can support architectures that synchronise mobilised objects.

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The Bayou Architecture: Support for Data Sharing Among Mobile Users

Cited by 175 publications

References 26 publications

Unterstützungsmechanismen für Mobile-Computing-Systeme

Unterstützungsmechanismen für Mobile-Computing-Systeme

Harvest, yield, and scalable tolerant systems

Java Architectures for Mobilised Enterprise Systems

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