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Epidemic information dissemination in distributed systems

Patrick Th. Eugster, Rachid Guerraoui, Anne-Marie Kermarrec, Laurent Massoulié • Computer (2004)

Easy to deploy, robust, and highly resilient to failures, epidemic algorithms are a potentially effective mechanism for propagating information in large peer-to-peer systems deployed on Internet or ad hoc networks. It is possible to adjust ...

OPENALEX Open Access DOI: https://doi.org/10.1109/mc.2004.1297243

Optimal Control of Spatially Distributed Systems

Nader Motee, Ali Jadbabaie • IEEE Transactions on Automatic Control (2008)

In this paper, we study the structural properties of optimal control of spatially distributed systems. Such systems consist of an infinite collection of possibly heterogeneous linear control systems that are spatially interconnected via cer...

OPENALEX DOI: https://doi.org/10.1109/tac.2008.929366

Dynamics and Control of Distributed Systems

• Cambridge University Press eBooks (1998)

Distributed parameter systems encompass a broad range of engineering applications from stereo speakers to space structures. The dynamic behaviour of these systems is usually governed by one or more partial differential equations, which may ...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511530180

Distributed Systems

Vivek Kale • Chapman & Hall/CRC eBooks (2014)

Distributed applications consist of a collection of heterogeneous but fully autonomous components that can execute on different computers. While each of these components has full control over its constituent subparts, there is no master com...

OPENALEX DOI: https://doi.org/10.1201/b17923-7

Open Distributed Systems

Jon Crowcroft • Cambridge University Engineering Department Publications Database (1995)

Featuring approximately 60 illustrations, 30 equations and 100 references, this book is a comprehensive text for students, and a practical guide for engineers....

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Distributed Systems

Pranabananda Chakraborty • Chapman & Hall/CRC eBooks (2023)

This chapter demystifies computing systems consisting of multiple CPUs, shared and distributed memory, and different types of I/O in the form of multiprocessors and multicomputers that eventually gave rise to distributed computing systems a...

OPENALEX DOI: https://doi.org/10.1201/9781003383055-9

Symmetry and similarity in distributed systems

Ralph E. Johnson, Fred B. Schneider • ACM Symposium on Principles of Distributed Computing (PODC) (1985)

Abstract: Similarity is introduced as a model-independent characterization of symmetry. It can be used to decide when a concurrent system has a solution to the selection problem. It can also be used to compare different models of parallel c...

OPENALEX DOI: https://doi.org/10.1145/323596.323598

Distributed System Design with Message Sequence Charts

Ingolf H. Krüger • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (2000)

The methodical mastery of interaction scenarios is a key factor for capturing and modeling system requirements of distributed, reactive systems. Message Sequence Charts (MSCs) and variants thereof are well-accepted as a graphical descriptio...

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