An Analysis of Input/Output Paradigms for Real-Time Systems

Abstract

The correctness of a real-time system with hard deadline requirements depends both on the logical correctness and on the timing correctness of the system. The principles of rate monotonic scheduling have proven to be very useful in providing a framework for designing, analyzing, and modifying the timing and concurrency aspects of real-time systems. This paper illustrates how to build a mathematical model of the schedulability of a real-time system, taking into consideration such factors as preemption, synchronization, non- preemptibility, interrupts, and process idle time. In particular, this paper illustrates how these principles can be applied to input/output interfaces (e.g. , to devices or local area networks) to predict the timing of various design alternatives. The primary characteristic that distinguishes real-time system from non-real-time systems is the importance of time. The correctness of a real- time system depends not only upon its logical correctness but also its timing correctness. System complexity tends to compromise correctness unless there are techniques and methods for managing the complexity. Basic software engineering principles such as abstraction, encapsulation, and information hiding from the basis of methods and techniques that are used to manage logical complexity. Rate monotonic scheduling theory offers a set of engineering principles for managing timing complexity. (KR)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1990
Accession Number
ADA226724

Entities

People

  • Mark H. Klein
  • Thomas Ralya

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Availability
  • Classification
  • Computer Science
  • Department Of Defense
  • Encapsulation
  • Engineering
  • Information Exchange
  • Local Area Networks
  • Mathematical Models
  • Models
  • Multithreading
  • Networks
  • Operating Systems
  • Scheduling (Production)
  • Software Development
  • Technical Information Centers

Fields of Study

  • Computer science
  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design