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Online platform construction of SOA architecture and streaming media technology under edge computing

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Abstract

In recent years, with the development of web-media sharing platform, the demand for network speed is gradually higher, and the service quality of streaming media online platform is effectively improved to meet the huge demand for network speed and information processing at present and in the future. First, the present work describes the principle and advantages of edge computing (EC) technology, and then proposes to apply service-oriented architecture (SOA) technology to streaming media. Moreover, it applies EC technology to the construction of this platform, so that data transmission and processing can be carried out normally. Finally, the online platform of SOA architecture and streaming media technology based on EC is tested. The research results show that the application of EC technology and SOA architecture in the construction of online platform of streaming media technology can improve the data transmission and data processing of the original streaming media platform, SOA architecture makes the data processing of online platform more efficient, and the use of EC technology makes the management of the platform more efficient and more accurate. This shows that EC technology can effectively improve the data processing efficiency and management ability of streaming media platform. The results provide a new direction for the application of emerging computer technology in streaming media online platform, and sets an example for future related research. Besides, the main contribution is to verify the possibility of combining SOA architecture and streaming media platform. The results show that the SOA architecture by EC and the online platform of streaming media technology have lower latency, more timely data processing, and lower cost. The SOA architecture combined with EC technology and streaming media technology can make the online platform data processing and transmission efficiency higher and the platform quality better. Meanwhile, the research results provide a reliable basis for the joint optimization of resource scheduling problem of convective media edge cloud.

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References

  • Almajed H, Almogren A (2020) A secure and efficient ECC-based scheme for edge computing and internet of things. Sensors 20(21):6158–6159

    Article  Google Scholar 

  • Ammar M, Russello G, Crispo B (2018) Internet of things: a survey on the security of IoT frameworks. J Inform Secur Appl 38(8):8–27

    Google Scholar 

  • Aziz O, Farooq MS, Abid A et al (2020) Research trends in enterprise service bus (ESB) applications: a systematic mapping study[J]. IEEE Access 8(1):1–1

    Google Scholar 

  • Balp A, Dpa B, Yal A et al (2020) DNC: a deep neural network-based clustering-oriented network embedding algorithm. J Netw Comput Appl 1(1):173–174

    Google Scholar 

  • Bentaleb A, Taani B, Begen AC et al (2020) A survey on bitrate adaptation schemes for streaming media over HTTP. IEEE Commun Surv Tutor 2(3):1–1

    Google Scholar 

  • Gusev M, Dustdar S (2020) Going back to the roots—the evolution of edge computing, an IoT perspective. IEEE Internet Computing 22(2):5–15

    Article  Google Scholar 

  • Hement L, Otaant K, Dong M (2018) Learning IoT in edge: deep learning for the internet of things with edge computing. IEEE Netw 32(1):96–101

    Article  Google Scholar 

  • Herrero R (2020) Analysis of IoT mechanisms for media streaming. Internet Things 9(2):168–169

    Google Scholar 

  • Li Y (2020) Construction of U2S communications system based on edge fog computing–sciencedirect. Comput Commun 153(4):569–579

    Article  Google Scholar 

  • Liu Y (2020) Design and implementation of multimedia teaching platform based on SOA architecture. Multimed Tools Appl 79(30):69–79

    Google Scholar 

  • Lou RY, Xiao DU, Zhu SR (2017) Campus-oriented stepwise-optimal hierarchical clustering algorithm of IP address. J Comput Appl 27(8):1862–1861

    Google Scholar 

  • Ma AM, Jiang XL, Jin G (2020) Heuristic dynamic threshold algorithm for priority inversion suppression in LEDBAT protocol. Comput Res Development 57(06):172–181

    Google Scholar 

  • Maurya S (2018) An energy efficient architecture of IoT based on service oriented architecture (SOA). Informatica J Comput Inform 43(1):87–93

    MathSciNet  Google Scholar 

  • Mendoza PL, Calderon GH, Vargas LM et al (2021) Towards a service-oriented architecture for the energy efficiency of buildings: a systematic review. IEEE Access 1(99):1–1

    Google Scholar 

  • Mondal A, Misra S, Maity I (2018) Buffer size evaluation of openflow systems in software-defined networks. IEEE Syst J 4(99):1–8

    Google Scholar 

  • Palacios S, Santos V, Barsallo E et al (2019) MioStream: a peer-to-peer distributed live media streaming on the edge. Multimed Tools Appl 78(2):231–235

    Google Scholar 

  • Panev S, Latkoski P (2020) Modeling of openflow-related handover messages in mobile networks[J]. Telecommun Syst 2(3):231–235

    Google Scholar 

  • Puthal D, Obaidat MS, Nanda P et al (2018) Secure and sustainable load balancing of edge data centers in fog computing. IEEE Commun Mag 56(5):60–65

    Article  Google Scholar 

  • Puthal D, Obaidat MS, Nanda P et al (2021) Secure and sustainable load balancing of edge data centers in fog computing. IEEE Commun Mag 56(5):60–65

    Article  Google Scholar 

  • Raj SS (2019) A comprehensive study on edge computing and challenges of the cloud and fog computing. J Comput Theor Nanosci 16(4):1625–1631

    Article  MathSciNet  Google Scholar 

  • Ray P, Dash D, De D (2019) Edge computing for internet of things: a survey, e-healthcare case study and future direction. J Netw Comput Appl 140(8):1–22

    Article  Google Scholar 

  • Ren J, Guo Y, Zhang D et al (2019) Distributed and efficient object detection in edge computing: challenges and solutions. IEEE Netw 2(4):137–143

    Google Scholar 

  • Ronen E, Shamir A, Weingarten AO et al (2018) IoT goes nuclear: creating a zigbee chain reaction. IEEE Secur Priv 16(1):54–62

    Article  Google Scholar 

  • Sankar H, Subraman V, Vijayakumar V et al (2019) Intelligent sentiment analysis approach using edge computing-based deep learning technique. Softw Pract Exp 3(1):2687–2689

    Google Scholar 

  • Sergi DS, Cristina PS, Jordi HJ et al (2018) Cryptocurrency networks: a new P2P paradigm. Mob Inf Syst 3(1):1–16

    Google Scholar 

  • Shun R, Yang L, Yu J et al (2018) Multi-access edge computing enhanced video streaming: proof-of-concept implementation and prediction/QoE models. IEEE Trans Veh Technol 6(2):99

    Google Scholar 

  • Suzuki T, Suzuki L (2020) On the benefit of 3-tier SOA architecture promoting information sharing among TMS systems and Brazilian e-government web services: a CT-e case study 2(4): 23–25.

  • Truong HL (2021) Using IoT cloud samples as a software framework for simulations of edge computing scenarios. Internet Things 14(5):383–386

    Google Scholar 

  • Xiao K (2021) Construction of embedded secure terminal and multimedia database based on trusted computing technology and wireless network. Alex Eng J 60(5):4223–4230

    Article  Google Scholar 

  • Yaddara B, Muttaqin M, Rafiansyah M (2019) Service-oriented architecture for E-marketplace model based on multi-platform distributed system. IOP Conf Ser Mater Sci Eng 662(1):028–030

    Google Scholar 

  • Zhu R, Liu L, Song H et al (2020) Multi-access edge computing enabled internet of things: advances and novel applications. Neural Comput Appl 32(19):15313–15316

    Article  Google Scholar 

  • Zizzo G, Riva SE, Ippolito MG et al (2018) A technical approach to P2P energy transactions in microgrids. IEEE Trans Industr Inf 2(4):1–1

    Google Scholar 

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  1. Hubei Polytechnic University, Huangshi, 435003, China

    Hao Zhang

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  1. Hao Zhang
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Zhang, H. Online platform construction of SOA architecture and streaming media technology under edge computing. Int J Syst Assur Eng Manag 13 (Suppl 3), 1154–1163 (2022). https://doi.org/10.1007/s13198-021-01517-w

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