Client Server Systems

Download A Distributed Pi-Calculus by Matthew Hennessy PDF

By Matthew Hennessy

Allotted platforms are quickly changing into the norm in computing device technology. Formal mathematical versions and theories of dispensed habit are wanted with a view to comprehend them. This booklet proposes a disbursed pi-calculus referred to as Dpi, for describing the habit of cellular brokers in a allotted global. it's according to an current formal language, the pi-calculus, to which it provides a community layer and a primitive migration build. A mathematical conception of the habit of those disbursed platforms is constructed, during which the presence of sorts performs a huge function. it's also proven how in precept this idea can be utilized to advance verification thoughts for ensuring the habit of allotted brokers. The textual content is offered to computing device scientists with a minimum historical past in discrete arithmetic. It includes an simple account of the pi-calculus, and the linked idea of bisimulations. It additionally develops the sort idea required by means of Dpi from first rules.

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Extra resources for A Distributed Pi-Calculus

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It is instructive to see how such a step can be inferred from the definition of the reduction relation −→. Recall that F1 (b, c) represents the recursive process rec z. (x) (c! (x) (c! (x) (c! x | z) is the body of the recursive definition. (x) (c! (x) (c! x | F1 (b, c)). So in summary one application of (r-unwind) gives F1 (b, c) −→ B(b, c) Let us now see how this reduction can take place as part of the larger system FF1 . 4 may be applied anywhere under occurrences of the static operators | and (new n): (r-par) (r-new) P −→ P P | Q −→ P | Q Q | P −→ Q | P P −→ P (new n) P −→ (new n) P So we have the following formal derivation, where the inferences are justified by the rules used: 1 F1 (b, c) −→ B(b, c) 2 F1 (b, c) | F1 (c, d ) −→ B(b, c) | F1 (c, d ) 3 FF1 −→ (new c)(B(b, c) | F1 (c, d )) (r-unwind) (r-par) to 1 (r-new) to 2 In other words one possible computation step from the system FF1 is given by FF1 −→ (new c)(B(b, c) | F1 (c, d )) Nevertheless these unwindings, even within static contexts, do not lead to interesting computations.

We will often abbreviate (new n1 ) . . () T , c! T , c! respectively. Finally trailing occurrences stop will sometimes be omitted. In the next example we see how the reduction semantics correctly handles dynamically created channels, and their scoping. 9 Consider the forwarder from b to c, defined by F(b, c) ⇐ rec z. (x, y) (new ack)(c! (y! | z)) Such forwarders can be combined together as in the previous example but their use requires that an implicit protocol be followed. 1, consists of two forwarders linked together: FF ⇐ (new c)(F(b, c) | F(c, d )) The User sequentially supplies two values to the system, User ⇐ (new ack1 )(b!

We have ˜ P2 ≡ (new b)(P 2 | c! (X ) R) Moreover, using α-conversion if necessary, we can choose the bound names (˜n) ˜ so that they are different from each other and also different from all the free and (b) names in both P1 and P2 ; this will be useful when manipulating the terms up to structural equivalence. The second part of this proposition also gives the structure of the residual P1 : P1 ≡ (new n˜ )(P1 | R{|V/X |}) Therefore using the structural manipulation rules, including (s-extr), we can rearrange P1 | P2 , the initial process, into the form ˜ n˜ )(P | P | c!

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