228 Int. J. Internet Technology and Secured Transactions, Vol. 7, No. 3, 2017 Copyright © 2017 Inderscience Enterprises Ltd. Software framework for runtime application monitoring of fail-safe multi-processor ADAS SoCs Piyali Goswami*, Kedar Chitnis and Brijesh Jadav Embedded Processing, Texas Instruments, Bangalore, India Email: piyali_g@ti.com Email: kedarc@ti.com Email: brijesh.jadav@ti.com *Corresponding author Ashish Kapania Embedded Processing, Texas Instruments, Goleta, CA, USA Email: akapania@ti.com Shiju Sivasankaran Embedded Processing, Texas Instruments, Bangalore, India Email: shiju@ti.com Abstract: In advanced driver assistance systems (ADAS), it is very critical to ensure a system malfunction does not cause harm to humans (also referred to as functional safety). Malfunctions could occur due to incorrect software (SW) execution. Many techniques exist to catch systematic SW faults during software and application development. However, without run-time monitoring of key parameters, it is impossible to guarantee a fail-safe system. In this paper, we describe a software framework to monitor application statistics in heterogeneous multiprocessor SoCs targeted for fail-safe ADAS systems. With < 0.5% CPU load overhead per monitor, the proposed framework was found to accurately report statistics for a front camera analytics application. Keywords: advanced driver assistance; runtime application monitoring; multi-processor SoC; MPSoC; safety. Reference to this paper should be made as follows: Goswami, P., Chitnis, K., Jadav, B., Kapaniaz, A. and Sivasankaran, S. (2017) ‘Software framework for runtime application monitoring of fail-safe multi-processor ADAS SoCs’, Int. J. Internet Technology and Secured Transactions, Vol. 7, No. 3, pp.228–244.