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Real-time performance analysis of network buffer under multi-core scheduling platform

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Abstract

The network buffer is a key factor affecting the communication efficiency of a multi-core embedded real-time system protocol stack. Therefore, it requires that the buffer structure should be simple, effective, stable and easy to manage. The buffer mBlk in the Vxworks system is a more complex buffer designed based on the buffer pool. Its advantage is that the data is shared by reference, so as to achieve “zero copy” and improve efficiency. However, the disadvantage is that its structure is too complicated and trouble to use. Therefore, according to the actual project requirements, this paper first improves its complex structure and designs a network buffer named sbuf. Secondly, according to the problem of insufficient use of the designed buffer management mechanism in multithreading, a network buffer allocation algorithm is designed to solve this problem. Finally, the designed network buffer is tested under different multi-core scheduling algorithms on litmus RT multi-core platform. The results show that the performance of the improved buffer has been significantly improved in three aspects: response time, preemption and execution time.

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References

  1. Ahmed S, Anderson JH (2020) A soft-real-time-optimal semi-clustered scheduler with a constant tardiness bound. https://doi.org/10.1109/RTCSA50079.2020.9203605

    Book  Google Scholar 

  2. Asheralieva A, Miyanaga Y (2016) QoS-oriented mode, spectrum, and power allocation for D2D communication underlaying LTE-a network. IEEE Trans Veh Technol 65(12). https://doi.org/10.1109/TVT.2016.2531290

  3. Chen H, Zhu X, Liu G (2018) Uncertainty-aware online scheduling for real-time workflows in cloud service environment. IEEE Trans Serv Comput. https://doi.org/10.1109/TSC.2018.2866421

    Book  Google Scholar 

  4. Chwa HS, Lee J, Lee J et al (2017) Global EDF schedulability analysis for parallel tasks on multi-core platforms. IEEE Trans Parallel Distrib Syst 28(5):1331–1344

    Article  Google Scholar 

  5. Díaz NL, Luna AC, Vasquez JC (2017) Centralized control architecture for coordination of distributed renewable generation and energy storage in islanded AC microgrids. IEEE Trans Power Electron 32(7). https://doi.org/10.1109/TPEL.2016.2606653

  6. Elwalid A, Jin C, Low S (2001) MATE: MPLS adaptive traffic engineering. In Proceedings - IEEE INFOCOM 3. https://doi.org/10.1109/infcom.2001.916625

  7. Feng WC, Shin KG, Kandlur DD, Saha D (2002) The Blue active queue management algorithms. IEEE/ACM Trans Netw 10(4). https://doi.org/10.1109/TNET.2002.801399

  8. Gang H, Hai-bo Z, Natale MD et al (2014) Experimental evaluation and selection of data consistency mechanisms for hard real-time applications on multicore platforms. IEEE Trans Industr Inform 10(2): 903–918

  9. Greenstein B, Estrin D, Govindan R et al (2003) DIFS: a distributed index for features in sensor networks. ∥1st IEEE International Workshop on Sensor Network Protocols and Applications Anchorage: IEEE, 333–349

  10. Haque MS, Easwaran A (2018) Predictability and performance aware replacement strategy PVISAM for unified shared caches in real-time multicores. IEEE Trans Comput Aided Design Integrated Circ Syst 37(11):2720–2731

  11. Katevenis M, Sidiropoulos S, Courcoubetis C (1991) Weighted round-robin cell multiplexing in a general-purpose ATM switch chip. IEEE J Sel Areas Commun 9(8). https://doi.org/10.1109/49.105173

  12. Kedar G, Mendelson A, Cidon I (2017) SPACE: semi-partitioned cache for energy efficient, hard real-time systems. IEEE Trans Comput 66(4):717–730

  13. Lai CF, Chang YC, Chao HC (2017) A buffer-aware QoS streaming approach for SDN-enabled 5G vehicular networks. IEEE Commun Mag 55(8). https://doi.org/10.1109/MCOM.2017.1601142

  14. Li X, Wan J, Dai HN (2019) A hybrid computing solution and resource scheduling strategy for edge computing in smart manufacturing. IEEE Trans Ind Inform 15(7). https://doi.org/10.1109/TII.2019.2899679

  15. Liu J, Mao Y, Zhang J (2016) Delay-optimal computation task scheduling for mobile-edge computing systems. in IEEE International Symposium on Information Theory - Proceedings, vol. 2016-August. https://doi.org/10.1109/ISIT.2016.7541539

  16. Melani A, Bertogna M, Bonifaci V et al (2017) Schedulability analysis of conditional parallel task graphs in multicore systems. IEEE Trans Comput 66(2):339–353

    MathSciNet  MATH  Google Scholar 

  17. Merl R, Graham P (2016) A low-cost, radiation-hardened single-board computer for command and data handling. in IEEE Aerospace Conference Proceedings vol. 2016-June. https://doi.org/10.1109/AERO.2016.7500849

  18. Merl R, Graham P (2018) Radiation-hardened SpaceVPX system controller. in IEEE Aerospace Conference Proceedings, vol. 2018-March. https://doi.org/10.1109/AERO.2018.8396380

  19. Pathan R, Voudouris P, Stenstrom P (2018) Scheduling parallel real-time recurrent tasks on multicore platforms. IEEE Trans Parallel Distrib Syst 29(4):915–928

    Article  Google Scholar 

  20. Phan H, Andreotti F, Cooray N (2019) Joint classification and prediction CNN framework for automatic sleep stage classification. IEEE Trans Biomed Eng 66(5). https://doi.org/10.1109/TBME.2018.2872652

  21. Sharma V, Mukherji U, Joseph V (2010) Optimal energy management policies for energy harvesting sensor nodes. IEEE Trans Wirel Commun 9(4). https://doi.org/10.1109/TWC.2010.04.080749

  22. Supratak A, Dong H, Wu C (2017) DeepSleepNet: A model for automatic sleep stage scoring based on raw single-channel EEG. IEEE Trans Neural Syst Rehabil Eng 25(11). https://doi.org/10.1109/TNSRE.2017.2721116

  23. Takeuchi H, Kage E, Sawata M (2001) Identification of a novel gene, Mblk-1 , that encodes a putative transcription factor expressed preferentially in the large-type Kenyon cells of the honeybee brain. Insect Mol Biol 10(5)

  24. Wind River Systems (2011) High-performance multi-core networking software design options[R]. White Paper Intel

  25. Xiang L, Ng DWK, Islam T (2017) Cross-layer optimization of fast video delivery in cache- and buffer-enabled relaying networks. in IEEE Transactions on Vehicular Technology 66(12). https://doi.org/10.1109/TVT.2017.2720481

  26. Xiong Y, Vandenhoute M, Cankaya HC (2000) Control architecture in optical burst-switched WDM networks. IEEE J Sel Areas Commun 18(10). https://doi.org/10.1109/49.887906

  27. Yuehong Z (2019) Construction of network protocol vulnerability analysis and testing platform. Softw Eng 22(11):35–38

  28. Zhang D et al (2018) Resource allocation for green cloud radio access networks with hybrid energy supplies. IEEE Trans Veh Technol 67(2). https://doi.org/10.1109/TVT.2017.2754273

  29. Zhao N, Schofield N, Niu W (2016) Energy storage system for a port crane hybrid power-train. IEEE Trans Transp Electrif 2(4). https://doi.org/10.1109/TTE.2016.2562360

  30. Zhao Y, Sanan D, Zhang F (2019) Refinement-based specification and security analysis of separation kernels. IEEE Trans Dependable Secur Comput 16(1). https://doi.org/10.1109/TDSC.2017.2672983

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Funding

This work was supported by the Special project of Shaanxi Provincial Department of Education under grant No.17JK0388. This work was supported by the General Project of Key Research and Development Plan of Shaanxi Province, China (No.2022GY-119).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Xi’an Technological University, Xi’an, 710021, China

    Pingping Liu, Jiaxing Lu, Shujuan Huang, Ping Lu & Jianguo Wang

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  1. Pingping Liu
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  2. Jiaxing Lu
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  3. Shujuan Huang
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  4. Ping Lu
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  5. Jianguo Wang
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Contributions

Conceptualization: Pingping Liu; Methodology: Jiaxing Lu; Formal analysis and investigation: Pingping Liu; Writing - original draft preparation: Pingping Liu, Jiaxing Lu; Writing - review and editing: Ping Lu; Funding acquisition: Jianguo Wang; Resources: Ping Lu; Supervision: Shujuan Huang.

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Correspondence to Pingping Liu.

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Liu, P., Lu, J., Huang, S. et al. Real-time performance analysis of network buffer under multi-core scheduling platform. Multimed Tools Appl 82, 34653–34677 (2023). https://doi.org/10.1007/s11042-023-14820-4

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