vault backup: 2025-03-04 08:29:45

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Marco Realacci 2025-03-04 08:29:45 +01:00
parent 8a8d2020d2
commit 62d5142515
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Peterson's algorithm cost $O(n^2)$
A first way to reduce this cost is by using a tournament of MUTEX between pairs of processes:
![[Pasted image 20250304082459.png|350]]
Of course this is a binary tree, and the height of a binary tree is logaritmic to the number of leaves. A process then wins after $\lceil \log_{2}n \rceil$ competitions $\to O(\log n)$ cost.
But we can do better. Let's see an idea of a constant-time algorithm.
```
Initialize Y at ⊥, X at any value (e.g., 0)
lock(i) :=
x <- i
if Y != ⊥ then FAIL
else Y <- i
if X = i then return
else fail
unlock(i) :=
Y <-
return