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Area-Efficient Event Stream Ordering for Runtime Observability of Embedded Systems

Published: 01 June 2014 Publication History

Abstract

The complexity of embedded systems presents key challenges for in-situ monitoring and analysis of complex hardware and software interactions. System-level observation methods have enabled nonintrusive runtime methods for monitoring this complex behavior across hardware and software boundaries and for deeply embedded components. Previous system-level observation methods utilized an efficient pipelined hardware architecture to ensure events are reported in-order based on the event occurrence. While providing high throughput for reporting events, this approach requires significant area resources. In this paper, we present an area-efficient event stream ordering technique that significantly reduces area requirements with tradeoff in event stream throughput.

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  • (2015)System-Level Observation Framework for Non-Intrusive Runtime Monitoring of Embedded SystemsACM Transactions on Design Automation of Electronic Systems10.1145/271731020:3(1-27)Online publication date: 24-Jun-2015

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cover image ACM Other conferences
DAC '14: Proceedings of the 51st Annual Design Automation Conference
June 2014
1249 pages
ISBN:9781450327305
DOI:10.1145/2593069
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

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Publication History

Published: 01 June 2014

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Author Tags

  1. System observability
  2. in-situ system monitoring
  3. runtime testing

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DAC '14

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Cited By

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  • (2015)System-Level Observation Framework for Non-Intrusive Runtime Monitoring of Embedded SystemsACM Transactions on Design Automation of Electronic Systems10.1145/271731020:3(1-27)Online publication date: 24-Jun-2015

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