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Exploring Linearizability PowerPoint Presentation

Exploring Linearizability

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## PowerPoint Slideshow about ' Exploring Linearizability ' - ethan-golden

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Presentation Transcript

Definition :

Q : What is linearizability ?

Overview

- A correctness property describe the program’s behaviour .
- Principle: Each method call should appear to take effect instantaneously at some moment between its invocation and response

For concurrent history

A concurrent history is linearizable comply with the sequential specification ,

If there is a sequential history S extracted from the concurrent history H,

so that the sequential history S satisfies this specification

Example_1

non_linearizable & Spec : FIFO

|--------ta.enq(1)-------| |--------ta.enq(2)---------|

|--------tb.deq(2)--------|

Example_2

linearizable & Spec : FIFO

|----ta.enq(1)----| |----ta.enq(2)----|

|-------tb.deq(2)-------|

|--------tc.deq(1)--------|

Formal Definition :

> Linearizable : A history H is linearizable if it has an extension H’ and there is a legal sequential history S such that :

L1 : complete(H’) is equivalent to S , and

L2: if method call m0 precedes method call m1 in H , then the same is true is S .

> Refer S as a linearization of H

Detailed explanation could be found in

"Linearizability : a correctness condition for concurrent objects"

Definitions

>> Method call : a pair consist of an invocation and the next matching response if history H .

<inv(m), res(m)>

Definitions

- Extension H' of H : H' is a history by appending responses to zero or more pending invocations of H
Say : H =

q Enq(x) A

q OK() A

q Enq(y) B

q OK() B

q Deq() B

q Deq() A

- H ' = H . q OK(x) B . q OK(y) A

Definitions

- Complete(H) : the maximal subsequence of H consisting only of invocations and matching responses .
Complete (H) =

q Enq(x) A

q OK() A

q Enq(y) B

q OK() B

Why linearizability ?

Compositionality : H is linearizable if ,and only if , for each object x , H|x is linearizable .

Compositionality if import as it

1 .allows concurrent systems to designed and constructed in a modular fashion

2. Linearizable objects can be implemented , verified , and executed independently .

Nonblocking : every pending invocation has a correct response .

No deadlock , No non_terminating loop .

How to prove linearizability ?

> Theorem proving , abstract the code into semantics ,and supply that to theorem prover .

Need hand-crafted

> Enumerate , state explosion

E.g: 5 Threads , 1 method for each thread

The worst case :

5 ! = 120

Locate LP

- Alternative solution : locate linearizable point (LP)
Potential LP : write / read

- Tools : VeriTrace
- implemented though JPF(java path finder) , to get the traces of each execution ,and then check the properties of traces histories .
- sound but not complete

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