Building dependable distributed systems by Wenbing Zhao

By Wenbing Zhao

"This ebook covers the main crucial recommendations for designing and construction responsible disbursed structures. rather than overlaying a large variety of study works for every dependability approach, the e-book focuses just a chosen few (usually the main seminal works, the main functional ways, or the 1st book of every procedure) are integrated and defined intensive, often with a entire set of examples. Read more...

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A consultant to the basic recommendations for designing and construction liable dispensed structures. rather than overlaying a large diversity of analysis works for every dependability method, it makes a speciality of only Read more...

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In fact, with sufficient redundancy in the system, a distributed system can be made significantly more dependable than a standalone system because such a distributed system can continue providing services to its users even when a subset of its nodes have failed. 1 2 Building Dependable Distributed Systems In this chapter, we introduce the basic concepts and terminologies of dependable distributed computing, and outline the primary approaches to achieving dependability. 1 Basic Concepts and Terminologies The term ”dependable systems” has been used widely in many different contexts and often means different things.

Melliar-Smith. Live upgrade techniques for corba applications. In New Developments in Distributed Applications and Interoperable Systems, volume 70 of IFIP International Federation for Information Processing, pages 257–271. Springer US, 2002. 2 Logging and Checkpointing Checkpointing and logging are the most essential techniques to achieve dependability in distributed systems [7]. By themselves, they provide a form of fault tolerance that is relatively easy to implement and incurs low runtime overhead.

Such messages are logged and will be appended to the checkpoint of its state. Again, this can only happen from an incoming channel from which the participant has not received the checkpoint message. – The participant aborts the checkpointing round by sending a fault message along each of its outgoing channel if it fails to receive the checkpoint message from one or more incoming channels within a predefined time period. Once the participant has collected the set of checkpoint messages, it takes a checkpoint of its state.

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