An Efficient Heuristic Scheduler for Hard Real-Time Systems

Abstract

The requirement for efficient scheduling algorithms for the development of hard real-time systems resulted in much effort directed toward the development of high performance scheduling algorithms. The algorithms developed up to this point for the Computer Aided Prototyping System (CAPS) do not satisfy the requirements for a efficient static scheduling algorithm. The existing static scheduler neither performs efficiently nor produces correct results for all input cases. This thesis represents the research conducted to develop a fast heuristic static scheduling algorithm based on the principles of simulated annealing. In addition, this thesis describes the development of new data structures that simplify the static scheduler and maximize system resources. Several of the existing scheduling algorithms were re-implemented to make use of the new data structures and provide correct results. Any feasible schedule produced by these scheduling algorithms guarantees that both timing and precedence constraints are met. The primary goal of this thesis was to produce an efficient and effective scheduler to support the CAPS system.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1991
Accession Number
ADA247322

Entities

People

  • John G. Levine

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Annealing
  • Complex Systems
  • Computer Science
  • Computers
  • Control Systems
  • Engineering
  • Guarantees
  • Lists (Data Structures)
  • Military Research
  • Naval Operations
  • Operations Research
  • Product Prototyping
  • Scheduling (Production)
  • Software Prototyping
  • Systems Engineering
  • United States

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Operations Research