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Comp2005 - Lecture 8 - Distributed Algorithms 3
Alejandro Saucedo - Comp2005 Lecture 8 FlashCard Set
12
Computer Science
Undergraduate 2
05/18/2013

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Term
What are the assumptions of the consesnsus problem?
Definition
  • N processes communicating by message passing
  • Synchronous or asynchronous system
  • Communication is reliable
  • Process failures
    • Crash failures
    • Byzantine failures (e.g. processes can lie)
  • Algorithm must tolerant certain (specified) failures
  • Faulty processes: exhibit some specified typesof fault; all other processes are correct
  • Assume messages are not digitally signed
Term
What are the requirements of the consensus algorithm?
Definition
  • Termination: Eventually each correct process sets its decision value
  • Agreement: all correct processes must have decided on the same value
  • Integrity: if all correct processes propose the same value, then any correct process that has decided must have chosen that value
    • Variations of integrity requirement depending on the application, e.g. agreed value was proposed by some process
Term
What is a consensus solution assuming no failures?
Definition
  • Processes reliably multicast proposed value to othes
  • Wait until N values are collected (including own)
  • Decide through majority function (Special value ± if none; can also use max/min instead of majority)
  • Termination and integrity guaranteed by use of reliable multicast
  • Majority vote ensures agreement
  • Assumes no failures (Crash failures or arbitrary failures)
Term
What does a crash failure consist of in a consensus?
Definition
Process stops sending values after a while; difficult to detect in asynchronous system
Term
What does a arbitrary failure consist of in a consensus?
Definition
Result of bug or deliberate - e.g. different values sent to different processes
Term
What is a consensus solution if only cash failures are allowed?
Definition

Consensus and Reliable Totally Ordered (RTO) Multicast

  • Possible to reduce Consesnsus to RTO-mutlicast
  • Collect all processes in group g
  • Each process Pi RTO-multicasts its value vi to g
  • Each process Pi chooses di as the first value it RTO-delivers
  • It is also possible to reduce RTO-multicast to consensus
Term
What are the principles of Consensus in Synchronous systems?
Definition
  • Only allow process crash failures
    • Assume up to f of the N processes may crash
  • Algorithm uses basic multicast (guaranteed delivery to correct processes assuming sender does not crash)
  • Algorithm
    • f + 1 rounds used to multicast values
      • Process crash possible at any point
    • Each round uses timeouts based on maximum time taken by a correct process to multicast message
Term
How does the consensus algorithm in synchronous systems with crash failures only operate?
Definition
  • Initially, each process proposes a value form a set D
  • Each process maintains the set of values Vir known to it at round r
  • In round r, where 1 <= r <= f + 1:
    • Each process multicasts values to others (only values not sent before Vir - Vir+1)
    • Each process receives multicast messages according any new value in Vir+1  
  • After F+1 rounds, each process chooses minimum Vir+2 as decision value 
Term
Specify the reason why the Consensus algorithm in synchronous systems work
Definition
  • Sets timeout to maximum time for correct process to multicast message
  • Can conclude process crashed if no reply
  • If process crashes, some value may not be forwarded
  • At round F+1:
    • All correct processes arrive at the same set of values
    • Hence reach the same decision value (minimum)
    • At least f+1 rounds needed to tolerate f crash failures (with any algorithm, not just this one)
Term
What does the Byzantine generals problem state?
Definition
  • Process exhibits arbitrary failures
    • Faulty processes may send any message at any time/ommit messages
    • Up to f of the N processes faulty
  • In synchronous systems can use timeout to detect absence of a message
    • Cannot conclude process crashed if no reply
  • No solution exists when N <= 3f
  • Requirements
    • Termination, Agreement, as for consensus
    • Integrity: If the commander is correct, then all correct processes decide on value proposed by commander
    • Integrity implies agreement when commander is correct
Term
Show an example for 3 generals in the Byzantine problem in a synchronous system
Definition
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Term
Show an example for 4+ generals in a byzantine problem
Definition

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