A Discipline of Multiprogramming: Programming Theory for by Jayadev Misra

By Jayadev Misra

During this publication, a programming version is built that addresses the elemental problems with 'large-scale programming'. The method unifies a number of suggestions from database thought, object-oriented programming and designs of reactive structures. The version and the linked thought has been christened "Seuss." the main aim of Seuss is to simplify multiprogramming. To this finish, the worry of concurrent implementation is separated from the middle software layout challenge. A software execution is known as a unmarried thread of keep an eye on - sequential executions of activities which are selected in response to a few scheduling coverage. as a result, it really is attainable to cause concerning the houses of a software from its unmarried execution thread.

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

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Overview of the model We use the box construct from chapter 2 that plays the role of an object. As before, a program consists of a set of boxes, though there are no shared variables. Typically, a user defines generic boxes, called cats (cat is short for category), and creates several boxes from each cat through instantiation. A cat is similar to a class; a box is similar to a class instance. The state of a box is given by the values of its variables. The variables are local to the box. Therefore, their values can be changed only by the steps taken within the box.

E. , the state does not change. ) What constitutes an action is a methodological issue. In designing a sorting routine, for instance, we may make use of an action that exchanges a pair of data items, whereas in a spreadsheet program we may assume that sorting is a built-in primitive. A programming problem often specifies the set of available actions. In concurrent programming, a sequence of steps that may be executed without interruption is typically regarded as an action. We focus attention on discrete action systems: "discrete" means that there are no continuously changing variables, such as flow in a pipe or voltage in an oscillating analog circuit.

Reaching a fixed point); this is in contrast to traditional derivations, where most of the effort is directed toward postulating and maintaining the appropriate invariant. 32 2. Action Systems The shortest path problem Given is a finite directed graph that has (1) a source node, henceforth, designated by s, and (2) for each edge (i,j) a non-negative real number, Wij, called its length. The length of a path is the sum of the edge lengths along the path. , a path of minimum length, from s to every node.

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