Download Distributed programming: theory and practice by A. Udaya Shankar PDF

By A. Udaya Shankar

ISBN-10: 1461448808

ISBN-13: 9781461448808

ISBN-10: 1461448816

ISBN-13: 9781461448815

Distributed Programming: concept and Practice offers a realistic and rigorous way to enhance dispensed courses that adequately enforce their requirements. the tactic additionally covers the way to write requirements and the way to exploit them. various examples akin to bounded buffers, disbursed locks, message-passing providers, and allotted termination detection illustrate the tactic. greater examples contain info move protocols, allotted shared reminiscence, and TCP community sockets.

Distributed Programming: idea and Practice bridges the space among books that target particular concurrent programming languages and books that concentrate on allotted algorithms. courses are written in a "real-life" programming notation, alongside the traces of Java and Python with particular instantiation of threads and courses. scholars and programmers will see those as courses and never "merely" algorithms in pseudo-code. The courses enforce fascinating algorithms and remedy difficulties which are big enough to function initiatives in programming periods and software program engineering periods. workouts and examples are integrated on the finish of every bankruptcy with online entry to the strategies.

Distributed Programming: idea and perform is designed as an advanced-level textual content e-book for college students in machine technological know-how and electric engineering. Programmers, software program engineers and researchers operating during this box also will locate this ebook useful.

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Extra resources for Distributed programming: theory and practice

Example text

Informing the system’s environment that the system will no longer interact with the environment is part of the system’s service. But beyond that, the service is not concerned with whether the system no longer exists or still exists but is not interacting. In particular, a service should not rule out implementations that do not terminate. 13 outlines a service program, called LockService, that defines the service of program Lock. It has no output function (because Lock does no output call). It has three input functions, acq, rel and end, just like Lock.

More to the point, one cannot say anything about the properties of program ProdCons1 after the lock service is replaced by a lock implementation. tx(msg) a2 MsgService(a2, a1) Fig. } // input assumption [x1,x2] ← startSystem(MsgService(a1,a2)); // sender x1; receiver x2 [y2,y1] ← startSystem(MsgService(a2,a1)); // sender y2; receiver y1 z1 ← startSystem(App(x1,y1,a1,a2)); z2 ← startSystem(App(y2,x2,a2,a1)); return [z1,z2]; // end main atomicity assumption {} // none progress assumption {weak fairness for thread} } Fig.

Each is an input function and returns no value (as indicated by void). Because Lock starts no local threads, at any time after its main code ends the lock system has as many threads executing in it as the number of ongoing input function calls. } ... } ... } } Fig. 10 Lock program Producer’s main code defines some variables and starts a local thread executing function produce. Because Producer has no input function, this is the only thread in the system after the main code ends. The thread repeatedly produces an item, acquires the lock, puts the item into the consumer, and releases the lock.

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