Download PDF by Wenbing Zhao: Building dependable distributed systems

By Wenbing Zhao

"This e-book covers the main crucial suggestions for designing and development liable allotted structures. rather than protecting a wide diversity of study works for every dependability approach, the ebook focuses just a chosen few (usually the main seminal works, the main functional ways, or the 1st book of every technique) are incorporated and defined intensive, frequently with a accomplished set of examples. Read more...

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A consultant to the fundamental ideas for designing and development responsible allotted structures. rather than protecting a wide diversity of study works for every dependability method, it makes a speciality of only Read more...

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1 Introduction to Dependable Distributed Computing Distributed systems bring many benefits to us, for example, we can share resources such as data storage and processing cycles much more easily; we can collaborative on projects efficiently even if the team members span across the planet; we can solve challenging problems by utilizing the vast aggregated computing power of large scale distributed systems. However, if not designed properly, distributed systems may appear to be less dependable than standalone systems.

The checkpoint (C0 ) taken by P0 reflects the sending event of m0 . The checkpoint C1 is taken by P1 after it has received m0 , therefore, the dependency on P0 is captured by C1 . Similarly, the dependency of P2 on P1 is also preserved by the checkpoint C2 taken by P2 . Such a global state is an example of consistent global state. Of course, the execution after the checkpoints, such as the sending and receiving of m2 and m3 , will be lost upon recovery. 2(c) is the most subtle one. In this scenario, P0 takes a checkpoint after it has sent message m0 while P1 takes a checkpoint before it receives m0 but after it has sent m1 , and P2 takes a checkpoint before it receives m1 .

Logging and Checkpointing 27 The participant then sends a saved message to its upstream neighbor (from which the participant receives the first checkpoint message), and waits for a resume message. Upon receiving a saved message (from one of its downstream neighbors), it relays the message to its upstream neighbor. When it receives a resume message, it propagates the message along all its outgoing channels except the one that connects to the process that sends it the message. The participant then resumes normal execution.

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