Download A Discipline of Multiprogramming: Programming Theory for by Jayadev Misra PDF

By Jayadev Misra

During this booklet, a programming version is constructed that addresses the elemental problems with 'large-scale programming'. The process unifies a number of options from database idea, object-oriented programming and designs of reactive structures. The version and the linked conception has been christened "Seuss." the key target of Seuss is to simplify multiprogramming. To this finish, the worry of concurrent implementation is separated from the middle software layout challenge. A application execution is known as a unmarried thread of regulate - sequential executions of activities which are selected based on a few scheduling coverage. in this case, it truly is attainable to cause in regards to the houses of a application from its unmarried execution thread.

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Additional info for A Discipline of Multiprogramming: Programming Theory for Distributed Applications (Monographs in Computer Science)

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Channels). The general programming model we develop in the next chapter includes method calls as the sole means of communication. 6 Bibliographic Notes For theories of action systems see Back and Kurki-Suonio [14, 15], Chandy and Misra [32], Lamport [U8], and Lynch and Tuttle [124]. The execution rule for action systems proposed here is from [32]. Meseguer [130] has extensively developed the theory and practice of term rewriting systems in a manner akin to action systems, and he reports impressive performance numbers.

More formally, initially all actions are active. An action becomes idle by being executed; an idle action becomes active only if its measure changes. Therefore, idle action Sjk may become active as a result of executing Sij, for some i, if it changes dj . It follows that (1) execution of an idle action does not change the program state; (2) therefore, if all actions are idle, the program state is a fixed point; (3) execution of Sij can activate an idle action of the form Sjk provided that d j > d i + Wij holds prior to the execution of Sj k, because the measure d j of Sjk changes only under this condition.

The algorithm is described for two processes u and v; we write their ids as "u" and "v", respectively. Each assignment statement is atomic. A guarded command is executed as follows. A process checks the guard from time to time, and the command is executed (atomically) only if the guard holds. The process waits as long as the guard does not hold. 4 Examples 27 Implementing the shared queue: Peterson's algorithm Queue q, defined in the previous box, takes on five possible values when it is shared between two processes: (), "u", "v", "u v", "v u" (here "u v" represents the queue that has "u" as the head item followed by "v").

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