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Embedded CPU target migration, doing more with less

Authors:

Robert Greene,

George LownesAuthors Info & Claims

TRI-Ada '94: Proceedings of the conference on TRI-Ada '94

Pages 429 - 436

https://doi.org/10.1145/197694.197743

Published: 11 November 1994 Publication History

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Abstract

Today's technology is changing and improving at such a rapid rate that even the most state of the art systems seem to be obsolete before completion. Sometimes, changing customer requirements dictate that a smaller, faster, and more powerful system be produced to perform the same tasks. Target migration, the transfer of a software product from one target system to another more powerful target system, is one cost effective way to upgrade system performance.

Target migration requires careful analysis to determine the impact of the new target environment on system performance. In many cases, the goal of target migration is to improve processor loading and throughput, while reducing memory requirements. A specific methodology needs to be established that will enable the design team to perform the required analysis and then be able to identify and measure the improvements on the system performance and memory usage. This methodology must be established early by the design team and then followed through all phases of the target migration effort.

This paper describes methodology used by a Martin Marietta (formerly GE Aerospace) design team that was asked to determine the impact of a target migration to the MIL-STD-1750A Architecture. The methodology is divided into three phases. The steps to be performed in each phase are described and examples are provided from an actual project. The lessons learned from our experiences with this new methodology will benefit other design teams tasked with migrating existing software products to smaller but more powerful target systems.

Cited By

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Kaiser R(2011)Applicability of Virtualization to Embedded SystemsSolutions on Embedded Systems10.1007/978-94-007-0638-5_15(215-226)Online publication date: 12-Apr-2011
https://doi.org/10.1007/978-94-007-0638-5_15
Kaiser R(2008)Alternatives for scheduling virtual machines in real-time embedded systemsProceedings of the 1st workshop on Isolation and integration in embedded systems10.1145/1435458.1435460(5-10)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1145/1435458.1435460

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Embedded CPU target migration, doing more with less

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Published In

TRI-Ada '94: Proceedings of the conference on TRI-Ada '94

November 1994

508 pages

ISBN:0897916662

DOI:10.1145/197694

Editor:
Charles B. Engle
Florida Institute of Technology, Melbourne

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 1994

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TriAda94

Sponsor:

SIGAda

TriAda94: Tri-Ada '94

November 6 - 11, 1994

Maryland, Baltimore, USA

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Cited By

View all

Kaiser R(2011)Applicability of Virtualization to Embedded SystemsSolutions on Embedded Systems10.1007/978-94-007-0638-5_15(215-226)Online publication date: 12-Apr-2011
https://doi.org/10.1007/978-94-007-0638-5_15
Kaiser R(2008)Alternatives for scheduling virtual machines in real-time embedded systemsProceedings of the 1st workshop on Isolation and integration in embedded systems10.1145/1435458.1435460(5-10)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1145/1435458.1435460

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Recommendations

Optimizing the live migration of virtual machine by CPU scheduling

A Virtual Machine Migration System Based on a CPU Emulator

Improving Total Migration Time in Live Virtual Machine Migration