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Prof. Jennifer Welch 1. FIFO Queue Example 2  Sequential specification of a FIFO queue:  operation with invocation enq(x) and response ack  operation.

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Presentation on theme: "Prof. Jennifer Welch 1. FIFO Queue Example 2  Sequential specification of a FIFO queue:  operation with invocation enq(x) and response ack  operation."— Presentation transcript:

1 Prof. Jennifer Welch 1

2 FIFO Queue Example 2  Sequential specification of a FIFO queue:  operation with invocation enq(x) and response ack  operation with invocation deq and response return(x)  a sequence of operations is allowable iff each deq returns the oldest enqueued value that has not yet been dequeued (returns  if queue is empty)  For the current discussion, assume that a given implementation of a shared FIFO queue achieves linerizability.

3  The term “register” or “read/write register” is used here to refer to shared memory variables on which only read &write operations may be performed  On next slide:  Q is a shared FIFO queue  Prefer[i] is a shared read/write register 3

4 Consensus Algorithm for n = 2 Using FIFO Queue (i = 0, 1 for the two processes) 4 Initially Q = [0] and Prefer[i] =  Prefer[i] := p i 's input val := deq(Q) if val = 0 then decide on p i 's input else temp := Prefer[1 - i] decide temp one shared FIFO queue two shared registers write my input into my register use shared queue to arbitrate between the 2 procs: first one to dequeue the initial 0 wins, decision value is its input loser obtains decision value from other proc's register

5 Extend Algorithm to More Procs? 5  Can we use FIFO queues to solve consensus with more than 2 procs?  The ability to atomically dequeue a value was key to the 2-proc alg:  one proc. learns it is the winner  the other learns it is the loser, therefore the id of the winner is obvious  Not clear how to handle 3 procs.  Suppose we have a different data type:

6 Compare & Swap Specification 6 compare&swap(X : shared memory address, old: value, new: value) previous := X // previous is a local var. if previous = old then X := new return previous X old new

7  Assume that we have an implementation of a shared compare-and-swap object that satisfies linearizability 7

8 Consensus Algorithm Using Compare-and- Swap 8 Initially First =  val := compare&swap(First, , my input) if val =  then decide on my input else decide val one shared C&S object simultaneously indicate whether you are the winner and the value to be decided by all the losers if First =  then replace with my input

9  Achieves consensus among n processes even if any number of them crash 9


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