Impact of Failure Prediction on Availability: Modeling and Comparative Analysis of Predictive and Reactive Methods

Kaitovic, Igor; Malek, Miroslaw

doi:10.1109/tdsc.2018.2806448

Cited by 8 publications

(4 citation statements)

References 28 publications

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“…In qualitative analysis the DPLD of survival signature can be used to find scenarios of the system failure depending on the breakdown of one of components of a fixed type. These scenarios are used in the development of maintenance strategy of a complex system [2], [29], [41], [42]. In this paper, we consider only the influence of one component type.…”

Section: Discussionmentioning

confidence: 99%

Logic Differential Calculus for Reliability Analysis Based on Survival Signature

Rusnak¹,

Zaitseva²,

Coolen

et al. 2023

IEEE Trans. Dependable and Secure Comput.

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Section: Discussionmentioning

confidence: 99%

Logic Differential Calculus for Reliability Analysis Based on Survival Signature

Rusnak¹,

Zaitseva²,

Coolen

et al. 2023

IEEE Trans. Dependable and Secure Comput.

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“…Furthermore, policies can encode application-specific requirements, such as the order for starting up or shutting down resources. Failover management can further be split into two subclasses: reactive and proactive [121].…”

Section: F13mentioning

confidence: 99%

“…Proactive. A proactive measure assumes that a predictive model is employed to ensure that a failover can be initiated based on predictions [121]. The predictions can, in turn, use policies to trigger the required actions [55].…”

Section: F22mentioning

confidence: 99%

High-availability clusters: A taxonomy, survey, and future directions

Somasekaram

Călinescu

Buyya

2022

Journal of Systems and Software

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“…Since errors in a system can arise from a plethora of causes, over the years numerous solutions have been proposed to reach the desired RAS, being either hardware-based or software-based. Different software-based solutions can be embraced to increase the overall system RAS through fault prediction and error recovery techniques [1]- [7]. Fault prediction tries to prevent failures by analyzing fault statistics and effective resource usage [8], [9].…”

Section: Introductionmentioning

confidence: 99%

HW-SW Interface Design and Implementation for Error Logging and Reporting for RAS Improvement

Canino,

Di Matteo,

Rossi

et al. 2024

IEEE Access

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When designing a resilient computing system, the desired degree of Reliability, Availability, and Serviceability (RAS) must be assessed and guaranteed. This article presents a Hardware-Software (HW-SW) Interface for Error Logging and Reporting independent of specific Instruction Set Architectures (ISA), aiming to improve RAS in computing systems. A HW-SW Interface defines the facilities by which detected hardware errors are logged into an ad hoc set of registers (i.e., Error Record) and then reported to system software. System software will promptly address and recover from those errors, preventing system failures. Our architecture offers flexible and configurable Error Logging and Reporting features, satisfying the requirements of different application scenarios by selectively incorporating or removing specific features. After reporting the most relevant results from synthesis on FPGA (Xilinx UltraScale+ MPSoC) and Standard-Cell technologies (45nm and 7nm libraries), we discuss them to provide valuable insights on the dependency of resource utilization on error logging capability. Then, we validate the Error Logging and Reporting features of our architecture by developing a test SoC on FPGA that emulates a computing system, including a 32-bit RISC-V core and two ECC-protected (Error Correcting Code) memories. The proposed HW-SW Interface extends beyond monitoring only ECC-protected memories, yet it can monitor any system module incorporating error control logic.

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Impact of Failure Prediction on Availability: Modeling and Comparative Analysis of Predictive and Reactive Methods

Cited by 8 publications

References 28 publications

Logic Differential Calculus for Reliability Analysis Based on Survival Signature

Logic Differential Calculus for Reliability Analysis Based on Survival Signature

High-availability clusters: A taxonomy, survey, and future directions

HW-SW Interface Design and Implementation for Error Logging and Reporting for RAS Improvement

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