PPT-Distributed Systems: Paxos
Author : tatyana-admore | Published Date : 2018-03-17
Burcu Canakci amp Matt Burke Outline Consensus The PartTime Parliament SingleDecree Paxos Liveness MultiDecree Paxos Paxos Variants Conclusion Outline Consensus
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Distributed Systems: Paxos: Transcript
Burcu Canakci amp Matt Burke Outline Consensus The PartTime Parliament SingleDecree Paxos Liveness MultiDecree Paxos Paxos Variants Conclusion Outline Consensus The PartTime Parliament. Cheap Paxos a variant of the Paxos al gorithm guarantees liveness under the additional as sumption that the set of nonfaulty processors does not jump around too fast but uses only F 1 main pro cessors that actually execute the system and F auxiliar A Consensus Algorithm for . Fault Tolerant Replication. CS 5204 – Fall, 2008. System Model. Messages. possible indefinite delay. possible duplication or loss. delivered messages not corrupted. . . .. Advanced Topics in Computer Systems. Lecture 24. Paxos/Megastore. November . 26. th. , . 2012. John . Kubiatowicz. and Anthony D. Joseph. Electrical Engineering and Computer Sciences. University of California, Berkeley. Paxos. --- 1. Steve Ko. Computer Sciences and Engineering. University at Buffalo. Recap. NFS. Caching with write-through policy at close(). Stateless server. One power efficient design: FAWN. Embedded CPUs & Flash . Sig Freund. CSC 8320 Fall . 2008. rfreund1@student.gsu.edu. Transparency in Distributed Operating Systems. Evolution of Modern Operating Systems. Centralized operating system. +network access and resource sharing. Cezara. . Drăgoi. , INRIA ENS CNRS. Thomas A. . Henzinger. , IST Austria. Damien Zufferey. , MIT CSAIL. SNAPL, 2015.05.04. Fault-tolerant distributed algorithms. How to get it right when things go wrong ?. Sig Freund. CSC 8320 Fall . 2008. rfreund1@student.gsu.edu. Transparency in Distributed Operating Systems. Evolution of Modern Operating Systems. Centralized operating system. network access and resource sharing. Distributed Systems. Lecture 12. Michael Freedman. Let different replicas assume role of primary over time. System moves through a sequence of views. How do the nodes agree on view / primary?. 2. Recall the use of Views. . Distributed. . Systems. Crash. . Fault. . Tolerance. Sisi. . Duan. Assistant. . Professor. Information. . Systems. sduan@umbc.edu. Outline. A. . brief. . history. . of. . consensus. Paxos. Paxos Made Simple One-shot Paxos: solving consensus Multipaxos: Efficient state machine replication One-shot Paxos: solving consensus Multipaxos: Efficient state machine replication Consensus Get N nodes to agree on a value View Change Protocols and Consensus COS 418: Distributed Systems Lecture 11 Mike Freedman Today View changes in primary-backup replication Consensus 2 Review: Primary-Backup Replication Nominate one replica Paxos and Replicated State Machine (RSM) Outline Basic Concepts of Replicated State Machine Paxos Made Simple Replicated State Machine We can replicate data, how can we guarantee it is correctly replicated? over a. Distributed Shared Log. Paxos. Paxos is an. “. application framework”. that employs replication for . availability. .. It offers no . scalability. .. Paxos. Paxos. Paxos. Paxos. Corfu. Tango. L. anguage . for . Fault-tolerant Distributed . A. lgorithms. Cezara. . Drăgoi. , INRIA ENS CNRS. Thomas A. . Henzinger. , IST Austria. Damien Zufferey. , MIT CSAIL. POPL, 2016.1.21. 1. Motivation.
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