ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Architecture Optimization of Aerospace Computing Systems

Pedar, A and Sarma, VVS (1983) Architecture Optimization of Aerospace Computing Systems. In: IEEE Transactions on Computers, 32 (10). pp. 911-922.

[img] PDF
getPDF.pdf - Published Version
Restricted to Registered users only

Download (3245Kb) | Request a copy
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumbe...

Abstract

Simultaneous consideration of both performance and reliability issues is important in the choice of computer architectures for real-time aerospace applications. One of the requirements for such a fault-tolerant computer system is the characteristic of graceful degradation. A shared and replicated resources computing system represents such an architecture. In this paper, a combinatorial model is used for the evaluation of the instruction execution rate of a degradable, replicated resources computing system such as a modular multiprocessor system. Next, a method is presented to evaluate the computation reliability of such a system utilizing a reliability graph model and the instruction execution rate. Finally, this computation reliability measure, which simultaneously describes both performance and reliability, is applied as a constraint in an architecture optimization model for such computing systems. Index Terms-Architecture optimization, computation

Item Type: Journal Article
Additional Information: Copyright IEEE 1983 . Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Architecture optimization, computation reliability, fault-tolerant computing, replicated resources computing system,shared resources computing system.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 28 May 2009 08:30
Last Modified: 19 Sep 2010 05:31
URI: http://eprints.iisc.ernet.in/id/eprint/20099

Actions (login required)

View Item View Item