Abstract
Fault tolerance is a crucial requirement for big data and cloud computing because it helps remove single point of failures. The Paxos algorithm has been employed in a number of real-world fault tolerant systems. Fast Paxos is one of the latest algorithms in the Paxos family of algorithms for distributed consensus. In Fast Paxos, an acceptor is allowed to cast a vote for a value of its own choice unilaterally in a fast round, which eliminates a communication step for reaching consensus. As a tradeoff, a bigger quorum than simple majority must be used and a value selection rule is employed to select the right value for agreement to overcome collisions. The derivation of quorum requirements and value selection rule in the original article on Fast Paxos by Lamport, while very rigorous, may be hard to follow and difficult to implement. In this paper, we present a more intuitive approach to deriving the quorum requirements and easy-to-implement value selection rule for Fast Paxos.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS |
| Editors | M. Surendra Prasad Babu, Li Wenzheng, Eric Tsui |
| Place of Publication | usa |
| Publisher | IEEE Computer Society |
| Pages | 406-409 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479932788 |
| DOIs | |
| State | Published - Oct 21 2014 |
| Event | 2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014 - Beijing, China Duration: Jun 27 2014 → Jun 29 2014 |
Conference
| Conference | 2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 06/27/14 → 06/29/14 |
Keywords
- Cloud Computing
- Distributed Consensus
- Fault Tolerance
- Quorum Requirements
- State-Machine Replication
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