Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Classification Framework for Analysis and Modeling of Physically Induced Reliability Violations
 
research article

Classification Framework for Analysis and Modeling of Physically Induced Reliability Violations

Rodopoulos, Dimitrios
•
Psychou, Georgia
•
Sabry, Mohamed
Show more
2015
ACM Computing Surveys (CSUR)

Technology downscaling is expected to amplify a variety of reliability concerns in future digital systems. A good understanding of reliability threats is crucial for the creation of efficient mitigation techniques. This survey performs a systematic classification of the state of the art on the analysis and modeling of such threats, which are caused by physical mechanisms to digital systems. The purpose of this article is to provide a classification tool that can aid with the navigation across the entire landscape of reliability analysis and modeling. A classification framework is constructed in a top-down fashion from complementary categories, each one addressing an approach on reliability analysis and modeling. In comparison to other classifications, the proposed methodology approaches the target research domain in a complete way, without suppressing hybrid works that fall under multiple categories. To substantiate the usability of the classification framework, representative works from the state of the art are mapped to each appropriate category and are briefly analyzed. Thus, research trends and opportunities for novel approaches can be identified.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

ACM_CSUR-a38.pdf

Type

Publisher's Version

Version

Published version

Access type

openaccess

Size

1.38 MB

Format

Adobe PDF

Checksum (MD5)

70729849d1809a64e6ecff00376ad2bb

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés