Publication

A Classification of Various Approaches for Object-Based Parallel and Distributed Programming

1999

Abstract

This paper aims at classifying and discussing the various ways along which the object paradigm is used in concurrent and distributed contexts. We distinguish the applicative approach, the integrative approach, and the reflective approach. The applicative approach applies object-oriented concepts, as they are, to structure concurrent and distributed systems through libraries. The integrative approach consists in merging concepts such as: object and activity, message passing and transaction, etc. The reflective approach integrates protocol libraries intimately within an object-based programming language. We discuss and illustrate each of these approaches and we point out their complementary levels and goals.

Official source

https://infoscience.epfl.ch/entities/publication/a57c4243-77d5-442d-853d-adc4d7ee7bb8

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1999

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/a57c4243-77d5-442d-853d-adc4d7ee7bb8

About this result

Related concepts (30)

Object-oriented programming

Object-Oriented Programming (OOP) is a programming paradigm based on the concept of "objects", which can contain data and code. The data is in the form of fields (often known as attributes or properties), and the code is in the form of procedures (often known as methods). A common feature of objects is that procedures (or methods) are attached to them and can access and modify the object's data fields. In this brand of OOP, there is usually a special name such as or used to refer to the current object.

Distributed computing

A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another. Distributed computing is a field of computer science that studies distributed systems. The components of a distributed system interact with one another in order to achieve a common goal. Three significant challenges of distributed systems are: maintaining concurrency of components, overcoming the lack of a global clock, and managing the independent failure of components.

Distributed operating system

A distributed operating system is system software over a collection of independent software, networked, communicating, and physically separate computational nodes. They handle jobs which are serviced by multiple CPUs. Each individual node holds a specific software subset of the global aggregate operating system. Each subset is a composite of two distinct service provisioners. The first is a ubiquitous minimal kernel, or microkernel, that directly controls that node's hardware.

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