Software-hardware interaction analysis based on Petri Net

Yi, Zhaoxiang; Mu, Xiaodong; Zhao, Peng; Yi, Ya-Qiao

doi:10.1109/ccdc.2014.6852652

Cited by 2 publications

(2 citation statements)

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“…Previous studies on analyzing co‐design systems generally assume that the HW and SW subsystems are independent of each other. In fact, remarkable interactions between HW and SW components do exist within many modern computing systems . For example, studies in Kanoun and Ortalo‐Borrel show that nearly 35% of observed MVS/SP operating system's SW failures were HW related.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, remarkable interactions between HW and SW components do exist within many modern computing systems. 11,12 For example, studies in Kanoun and Ortalo-Borrel 11 show that nearly 35% of observed MVS/SP operating system's SW failures were HW related. Experiments in Das et al 13 indicated that performance of mobile applications running on smartphone platforms can achieve an average of 22% power reduction by considering HW and SW interactions.…”

Section: Introductionmentioning

confidence: 99%

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An analytical method for reliability analysis of hardware‐software co‐design system

Zeng

Xing

Zhang

et al. 2018

Quality & Reliability Eng

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Hardware‐software co‐design systems abound in diverse modern application areas such as automobile control, telecommunications, big data processing, and cloud computing. Existing works on reliability modeling of the co‐design systems have mostly assumed that hardware and software subsystems behave independently of each other. However, these two subsystems may have significant interactions in practice. In this paper, an analytical approach based on paths and integrals is proposed to analyze reliability of nonrepairable hardware‐software co‐design systems considering interactions between hardware and software during the system performance degradation and failure process. The proposed approach is verified using the Markov‐based method. As demonstrated by case studies on systems without and with warm standby sparing, the proposed approach is applicable to arbitrary types of time‐to‐failure or degradation distributions. Effects of different transition and fault detection/recovery parameters on system performance are also investigated through examples.

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Section: Introductionmentioning

confidence: 99%