Network Partition Method of Distributed IMA and Its Real-time Performance Evaluation

TU Xiaojie; HE Feng; XIONG Huagang; LIU Cheng

doi:10.7527/S1000-6893.2013.0014

ACTA AERONAUTICAET ASTRONAUTICA SINICA >

2013 , Vol. 34 >Issue 1: 112 - 120

DOI: https://doi.org/10.7527/S1000-6893.2013.0014

Electronics and Control

Network Partition Method of Distributed IMA and Its Real-time Performance Evaluation

TU Xiaojie ,
HE Feng ,
XIONG Huagang ,
LIU Cheng

Expand

School of Electronics and Information Engineering, Beihang University, Beijing 100191, China

Received date: 2012-07-02

Revised date: 2012-08-03

Online published: 2013-01-19

Supported by

National Natural Science Foundation of China (61073012); Aeronautical Science Foundation of China (20111951015)

Fold

Abstract

The concept of network partition is proposed for the architecture of distributed integrated modular avionics(IMA) which is based on temporal partition, spatial partition and bandwidth partition. Meanwhile, corresponding models are built including a network model, a message model, a traffic model and a scheduling model. The formulas for end-to-end (ETE) delays of mixed avionic message sets are derived with the help of network calculus theory. A typical network is then built, and theoretical computations are performed in order to compare the real-time performance of network partition with that of bandwidth partition. The computational results show that ETE delays of two hard real-time flows using network partition are reduced by 33.5% and 74.2% respectively as compared with that using bandwidth partition. On the other hand, delays of weakly hard real-time and weak real-time flows increaseby about 30%. Finally, simulation using OPNET is done to verify the computational results. It demonstrates that the network partition method satisfies the requirements of distributed architecture of distributed IMA, and the demands of system mixed-criticality.

Key words： avionics; distributed IMA; network calculus; mixed-criticality; real-time

Cite this article

TU Xiaojie, HE Feng, XIONG Huagang, LIU Cheng. Network Partition Method of Distributed IMA and Its Real-time Performance Evaluation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(1): 112-120. DOI: 10.7527/S1000-6893.2013.0014

References

[1] Xiong H G, Wang Z H. Advanced avionics integration techniques. Beijing: National Defense Industry Press, 2009: 109-112. (in Chinese) 熊华钢, 王中华. 先进航空电子综合技术. 北京: 国防工业出版社, 2009: 109-112.
[2] Fuchsen R. IMA NextGen: a new technology for the Scarlett program. Aerospace and Electronic Systems Magazine, IEEE, 2010, 25(10): 10-16.
[3] Andrillon B, Aviation D. Contribution of integrated modular avionics of second generation for business aviation. SCARLETT Project ACP7-GA-2008-211439, Europe: FP7, 2008.
[4] Fletcher M. Progression of an open architecture: from Orion to Altair and LSS. International Defense & Space Electronics Systems S65-5000-20-0. Glendale: Honeywell International, 2009.
[5] Jakovljevic M. Synchronous/asynchronous ethernet networking for mixed criticality systems. Digital Avionics Systems Conference(DASC), 2009: 1.E.3-1-1.E.3-10.
[6] Triquet B. Mixed criticality in avionics. (2012-3-5).http://cordis.europa.eu/fp7/ict/embedded-systems- engineering/presentations/triquet.pdf.
[7] ARINC 653-1-2003 Avionics application software standard interface.
[8] ARINC 664 Aircraft data network, part 7: avionics full duplex switched Ethernet(AFDX) Networks.
[9] D-INT-S-10-002 TTEthernet specification.
[10] VanderLeest S H. ARINC 653 hypervisor. Digital Avionics Systems Conference (DASC), 2010: 5.E.2-1-5.E.2-20.
[11] Ke W J, Wang S D. Reliability evaluation for distributed computing networks with imperfect nodes. IEEE Transactions on Reliability, 1997, 46(3): 342-349.
[12] Bauer H, Scharbarg J L, Fraboul C. Improving the worst-case delay analysis of an AFDX network using an optimized trajectory approach. IEEE Transactions on Industrial Informatics, 2010, 6(4): 521-533.
[13] Zhou T R, Xiong H G, Zhang Z. Hierarchical resource allocation for integrated modular avionics systems. Journal of Systems Engineering and Electronics, 2011, 22(5): 780-787.
[14] Wang Z, Song Y Q, Poggi E M, et al. Survey of weakly-hard real-time scheduling theory and its application. Proceedings of International Symposium on Distributed Computing Applications to Business, Engineering and Science, 2002: 429-437.
[15] Livani M A, Kaiser J. Evaluation of a hybrid real-time bus scheduling mechanism for CAN. Workshop on Parallel and Distributed Real-Time Systems, 1999: 425-429.
[16] Decotignie J D. Ethernet-based real-time and industrial communications. Proceedings of the IEEE, 2005, 93(6): 1102-1118.
[17] Georges J P, Divoux T, Rondean E. Comparison of switched Ethernet architectures models. Proceedings of Emerging Technologies and Factory Automation ETFA’03, 2003: 375-382.
[18] Boudec J Y Le, Thiran P. Network calculus: a theory of deterministic queuing systems for the internet. Online Version April 26, 2012: 7-19, 175-180.

Options

Outlines

Abstract
Cite this article
References

模态框（Modal）标题

Abstract

Cite this article

References