Abstract
A distributed embedded system is said to be a system which consists both hardware and software parts interacting all via some channels or interconnection network. For analyzing the performance of a distributed embedded system, it is required to know many basic terms which are associated with it along with its problems and ways to solve it. The approaches to solve these problems include simulation technique and also scheduling technique such as holistic scheduling technique. Other testing techniques are also applied such as fault injection technique to detect and solve the faults in a particular location where the fault has been occurred. Such technique reduces our time in correcting error or faults. For designing a distributed embedded system or any system which involves both hardware and software, safety measures are needed to be taken which has been discussed in this paper.
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References
Yen TY, Wolf W (1995) Communication synthesis for distributed embedded systems. In: Proceedings of the 1995 IEEE/ACM international conference on computer-aided design, pp 288–294
Xie G, Zeng G, Liu L, Li R, Li K (2016) High performance real-time scheduling of multiple mixed-criticality functions in heterogeneous distributed embedded systems. J Syst Arch 70:3–14
Mallak A, Weber C, Fathi M, Holland A (2017, October) Active diagnosis automotive ontology for distributed embedded systems: In: 2017 IEEE European technology and engineering management summit (E-TEMS), pp 1–6
Ballesteros A, Proenza J, Barranco M, Almeida L (2018, June) Reconfiguration strategies for critical adaptive distributed embedded systems. In: 2018 48th annual IEEE/IFIP international conference on dependable systems and networks workshops (DSN-W), pp 57–58
Ebeid E, Fummi F, Quaglia D (2015) Model-driven design of network aspects of distributed embedded systems. IEEE Trans Comput-Aided Des Integr Circuits Syst 34(4):603–614
Zhang X, Mohan N, Torngren M, Axelsson J, Chen DJ (2017) Architecture exploration for distributed embedded systems: a gap analysis in automotive domain. In: 2017 12th IEEE international symposium on industrial embedded systems (SIES), pp 1–10
Xie Guoqi, Chen Yuekun, Xiao Xiongren, Cheng Xu, Li Renfa, Li Keqin (2018) Energy-efficient fault-tolerant scheduling of reliable parallel applications on heterogeneous distributed embedded systems. IEEE Trans Sustain Comput 3(3):167–181
Mubeen S, Sjödin M, Nolte T, Lundbäck J, Gålnander M, Lundbäck KL (2015) End-to-end timing analysis of black-box models in legacy vehicular distributed embedded systems. In: 2015 IEEE 21st international conference on embedded and real-time computing systems and applications (RTCSA), pp 149–158
Gu Zonghua, Han Gang, Zeng Haibo, Zhao Qingling (2016) Security-aware mapping and scheduling with hardware co-processors for flexray-based distributed embedded systems. IEEE Trans Parallel Distrib Syst 27(10):3044–3057
Xie Guoqi, Chen Yuekun, Li Renfa, Li Keqin (2018) Hardware cost design optimization for functional safety-critical parallel applications on heterogeneous distributed embedded systems. IEEE Trans Industr Inf 14(6):2418–2431
Krzywicki K, Adamski M, Andrzejewski G (2015) EmbedCloud–design and implementation method of distributed embedded systems. In: Doctoral conference on computing, electrical and industrial systems, pp 157–164
Honig WL, Läufer K, Thiruvathukal GK (2015) A framework architecture or student learning in distributed embedded systems. In: 2015 10th IEEE international symposium on industrial embedded systems (SIES), pp 1–4
Wandeler E, Thiele L, Verhoef M, Lieverse P (2006) System architecture evaluation using modular performance analysis: a case study. Int J Softw Tools Technol Transfer 8(6):649–667
Roy S, Saha R, Bhunia CT (2016) On efficient minimization techniques of logical constituents and sequential data transmission for digital IC. Indian J Sci Technol 9(9):1–9
Singhal G, Roy S (2019) A novel method to detect program malfunctioning on embedded devices using run-time trace. In: Advances in signal processing and communication. Springer, Singapore, pp 491–500
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Dutta, A., De Sarkar, M., Roy, S. (2020). A Review on Performance of Distributed Embedded System. In: Shukla, R., Agrawal, J., Sharma, S., Chaudhari, N., Shukla, K. (eds) Social Networking and Computational Intelligence. Lecture Notes in Networks and Systems, vol 100. Springer, Singapore. https://doi.org/10.1007/978-981-15-2071-6_49
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DOI: https://doi.org/10.1007/978-981-15-2071-6_49
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