From Traditional Fault Tolerance to Blockchain. Wenbing Zhao
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Название: From Traditional Fault Tolerance to Blockchain
Автор: Wenbing Zhao
Издательство: John Wiley & Sons Limited
Жанр: Зарубежная компьютерная литература
isbn: 9781119682110
isbn:
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Library of Congress Cataloging-in-Publication Data
ISBN 978-1-119-68195-3
Cover image: Pixabay.Com
Cover design by Russell Richardson
Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines
Printed in the USA
10 9 8 7 6 5 4 3 2 1
To My Parents
List of Figures
1.1 An example of a chain of threats with two levels of recursion.
1.2 The rollback recovery is enabled by periodically taking checkpoints and usually logging of the requests received.
1.3 With redundant instances in the system, the failure of a replica in some cases can be masked and the system continue providing services to its clients without any disruption.
1.4 Main types of assets in a distributed system.
2.1 An example distributed system.
2.2 Consistent and inconsistent global state examples.
2.3 An example of the domino effect in recovery with uncoordinated checkpointing.
2.4 Finite state machine specification for the coordinator in the Tamir and Sequin checkpointing protocol.
2.5 Finite state machine specification for the participant in the Tamir and Sequin checkpointing protocol.
2.6 Normal operation of the Tamir and Sequin checkpointing protocol in an example three-process distributed system.
2.7 Finite state machine specification for the Chandy and Lamport distributed snapshot protocol.
2.8 Normal operation of the Chandy and Lamport global snapshot protocol in an example three-process distributed system.
2.9 A comparison of the channel state definition between (a) the Chandy and Lamport distributed snapshot protocol and (b) the Tamir and Sequin global checkpointing protocol.
2.10 Example state intervals.
2.11 An example for pessimistic logging.
2.12 Transport level (a) and application level (b) reliable messaging.
2.13 Optimization of pessimistic logging: (a) concurrent message logging and execution (b) logging batched messages.
2.14 Probability density function of the logging latency.
2.15 A summary of the mean logging latency and mean end-to-end latency under various conditions.
2.16 Probability density function of the end-to-end latency.
2.17 Normal operation of the sender-based logging protocol.
2.18 An example normal operation of the sender-based logging protocol.
2.19 Two concurrent failures could result in the loss of determinant information for regular messages.
3.1 The three-tier architecture.
3.2 The Java EE architecture.
3.3 An example runtime path of an end-user request.
3.4 Component class and component instances.
3.5 The chi-square cumulative distribution function for degree of freedom of 1, 2, 3, 4, 5.
3.6 The path shape of the example runtime path shown in Figure 3.3.
3.7 Component class and component instances.
3.8 СКАЧАТЬ