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Taking Cloud Computing to the Extreme Edge: A Review of Mist Computing for Smart Cities and Industry 4.0 in Africa

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Edge Computing

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

The advancement and convergence of Internet of Things (IoT), mobile devices technology, big data and cloud computing with its various technological implementations are finally enabling the vision of Smart Cities and Industry 4.0. However, cloud computing concept has been built with the assumptions of good network connectivity, adequate bandwidth and low latency. But with the proliferation of interconnected smart devices and the expected huge amount of traffic and data to be generated, coupled with the stringent and extremely demanding connectivity, high bandwidth and low latency requirements placed on applications and services were embedded in Smart Cities and Industry 4.0 concepts. The traditional cloud-centric architectural arrangement no longer holds due to these cloud architectural model assumptions. Cloud computing is therefore gradually evolving into new complementary concepts as edge and fog computing, and now mist and dew computing. Mist computing addresses these concerns by extending the capabilities and features of cloud and fog computing, with some level of computing intelligence further on the extreme edge of the network closer or on the sensing devices. With the technological revolution currently spreading across Africa, policy makers, academics and businesses in Africa are gradually recognizing the potential opportunities embedded in embracing emerging and future technologies to tackle issues related to urbanization and industrialization as catalyst for sustainable development and growth. This chapter studies the current trend in mist computing and discusses the application and the potential use case scenarios for Smart Cities and Industry 4.0 in the context of Africa. The chapter also explores practical implementation challenges and drivers supporting growth of these emerging cloud technologies in the region. Finally, pertinent technical recommendations were proposed as solution to the challenges identified together with a qualitative analysis of future opportunities of mist computing in the overall vision of Smart African Cities and Industry Africa 4.0.

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References

  1. N. Abbas, Y. Zhang, A. Taherkordi, T. Skeie, Mobile edge computing: a survey. IEEE Int. Things J. 5(1), 450–465 (2018). https://doi.org/10.1109/JIOT.2017.2750180

    Article  Google Scholar 

  2. Y. Ai, M. Peng, K. Zhang, Edge computing technologies for internet of things: a primer. Digit Commun. Netw. 4(2), 77–86 (2018). https://doi.org/10.1016/j.dcan.2017.07.001

    Article  Google Scholar 

  3. I.F. Akyildiz, S. Nie, S. Lin, M. Chandrasekaran, 5G roadmap: 10 key enabling technologies. Comput. Netw. 106, 17–48 (2016). https://doi.org/10.1016/j.comnet.2016.06.010

    Article  Google Scholar 

  4. M. Al Amine, K. Mathias, T. Dyer, Smart cities: how 5G can help municipalities become vibrant smart cities. Accenture. (2017), https://www.accenture.com/ t20170222T202102__w__/us-en/_acnmedia/PDF-43/Accenture-5G-Municipalities-Become-Smart-Cities.pdf. Accessed 15 Mar 2018

  5. Accenture Accelerating the Journey to Cloud (2017), https://www.accenture.com/t20170111T213812Z__w__/us-en/_acnmedia/Accenture/Designlogic/16-3360/documents/Accenture-2017-Top-10-Challenges-07-Cloud.pdf. Accessed 13 Apr 2018

  6. L. Atzori, A. Iera, G. Morabito, The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  Google Scholar 

  7. A. Bahga, V.K. Madisetti, Blockchain platform for industrial internet of things. J. Softw. Eng. Appl. 9(10), 533–546 (2016)

    Article  Google Scholar 

  8. K. Bilal, O. Khalid, A. Erbad, S.U. Khan, Potentials, trends, and prospects in edge technologies: fog, cloudlet, mobile edge, and micro data centers. Comput. Netw. 130, 94–120 (2018)

    Article  Google Scholar 

  9. K. Biswas, V. Muthukkumarasamy, Securing smart cities using blockchain technology. 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Sydney, NSW, Australia, pp. 1392–1393 (2016). https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.0198

  10. F. Al-Turjman, Fog-based caching in software-defined information-centric networks. Comput Electr Eng J 69(1), 54–67 (2018)

    Article  Google Scholar 

  11. A. Botta, W. de Donato, V. Persico, A. Pescapé, Integration of cloud computing and internet of things: a survey. Futur. Gener. Comput. Syst. 56, 684–700 (2016). https://doi.org/10.1016/j.future.2015.09.021

    Article  Google Scholar 

  12. D. Bourges-Waldegg, Y. Duponchel, M. Graf, M. Moser, The fluid computing middleware: bringing application fluidity to the mobile internet. The 2005 Symposium on Applications and the Internet, Trento, Italy, pp. 54–63 (2005). https://doi.org/10.1109/SAINT.2005.63

  13. R. Buyya, C.S. Yeo, S. Venugopal, J. Broberg, I. Brandic, Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Futur. Gener. Comput. Syst. 25(6), 599–616 (2009). https://doi.org/10.1016/j.future.2008.12.001

    Article  Google Scholar 

  14. J.E. Cham, Internet of things: decoding the IoT ecosystem. RIPE Network Coordination Centre (NCC), RIPE75 (2017), https://ripe75.ripe.net/presentations/36-Decoding-the-IoT-Ecosystem-RIPE75.pdf. Accessed 16 Mar 2018

  15. A. Corsaro, Cloudy, foggy and misty internet of things. In Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering (ICPE '16). ACM, New York, pp. 261–261 (2016). https://doi.org/10.1145/2851553.2858661

  16. A. Corsaro, Fluid computing: unifying cloud, fog, and mist computing. Embedded Computing Design (2016), http://www.embedded-computing.com/embedded-computing-design/fluid-computing-unifying-cloud-fog-and-mist-computing. Accessed 13 Mar 2018

  17. K. Dolui, S.K. Datta Comparison of edge computing implementations: fog computing, cloudlet and mobile edge computing. 2017 Global Internet of Things Summit (GIoTS), Geneva, pp. 1–6 (2017). https://doi.org/10.1109/GIOTS.2017.8016213

  18. ETSI Industry Specification Group, 5G (2018), https://www.etsi.org/technologies-clusters/technologies/5g. Accessed 12 Mar 2018

  19. E.M. Dogo, A. Salami, S. Salman, Feasibility analysis of critical factors affecting cloud computing in Nigeria. Int. J. Cloud Comput.. Ser. Sci. (IJ-CLOSER) 2(4), 276–287 (2013). ISSN: 2089-3337

    Google Scholar 

  20. E. Marín-Tordera, X. Masip-Bruin, J. García-Almiñana, A. Jukan, G.-J. Ren, J. Zhu, Do we all really know what a fog node is? current trends towards an open definition. Comput. Commun. 109, 117–130 (2017). https://doi.org/10.1016/j.comcom.2017.05.013

    Article  Google Scholar 

  21. D. Evans, The internet of things: how the next evolution of the internet is changing everything. Cisco Internet Business Solutions Group (IBSG) (2011), https://www.cisco.com/c/dam/en_us/about/ac79/docs/innov/IoT_IBSG_0411FINAL.pdf. Accessed 13 Mar 2018

  22. D.E. Fisher, S. Yang, Doing more with the dew: a new approach to cloud-dew architecture. Open J. Cloud Comput. (OJCC) 3(1) (2016). ISSN 2199-1987

    Google Scholar 

  23. W. Harding, 5G to enhance industrial IoT and transform industry starting in 2020 (2017), https://industrial-iot.com/2017/04/5g-enhance-industrial-iot-transform-industry-starting-2020/. Accessed 12 Mar 2018

  24. K. Hartung, Computer-on-modules for robotics & industry 4.0 automation. Combined Print Magazine for the European Embedded Market, pp. 6–8 (2017), http://files.iccmedia.com/magazines/basoct17/basoct17.pdf. Accessed 14 Mar 2018

  25. P. Hu, S. Dhelim, H. Ning, T. Qiu, Survey on fog computing: architecture, key technologies, applications and open issues. J. Netw. Comput. Appl. 98, 27–42 (2017). https://doi.org/10.1016/j.jnca.2017.09.002

    Article  Google Scholar 

  26. J-M. Huet, Smart cities: the key to Africa’s third revolution. BearingPoint (2016), https://www.bearingpoint.com/files/smart-cities-the-key-to-africas-third-revolution.pdf. Accessed 22 Feb 2018

  27. R.L. Krutz, R.D. Vines, Cloud security: A Comprehensive Guide To Secure Cloud Computing (Wiley Publishing, Indianapolis, 2010)

    Google Scholar 

  28. M. Liyanage, C. Chang, S. N. Srirama, mePaaS: Mobile-embedded platform as a service for distributing fog computing to edge nodes. 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), Guangzhou, China, 16–18, pp. 73–80 (Dec 2016). https://doi.org/10.1109/PDCAT.2016.030

  29. P. Mach, Z. Becvar, Mobile edge computing: a survey on architecture and computation offloading. IEEE Commun. Surv. Tutorials 19(3), 1628–1656 (2017). https://doi.org/10.1109/COMST.2017.2682318

    Article  Google Scholar 

  30. Y. Mao, C. You, J. Zhang, K. Huang, K.B. Letaief, A survey on mobile edge computing: the communication perspective. IEEE Commun. Surv. Tutorials 19(4), 2322–2358 (2017). https://doi.org/10.1109/COMST.2017.2745201

    Article  Google Scholar 

  31. R. Minerva, A. Biru, D. Rotondi, Towards a definition of the internet of things (IoT). IEEE Internet Things, Revision 1 (2015), https://iot.ieee.org/images/files/pdf/IEEE_IoT_Towards_Definition_Internet_of_Things_Revision1_27MAY15.pdf. Accessed 14 Mar 2018

  32. J. Mundy, 5G in the smart city (2018), https://5g.co.uk/guides/5g-smart-city/. Accessed 12 Mar 2018

  33. Nebbiolo Technologies, Fog computing: keystone of industry 4.0 (2017), https://www.nebbiolo.tech/wp-content/uploads/Nebbiolo-Technologies-solutions-brief.pdf. Accessed 10 Mar 2018

  34. N. Pokhriyal, W. Dong, V. Govindaraju, Big Data for Improved Diagnosis of Poverty: A Case Study of Senegal (The Brookings Institute, Washington, 2015), https://www.brookings.edu/blog/africa-in-focus/2015/06/02/big-data-for-improved-diagnosis-of-poverty-a-case-study-of-senegal/. Accessed 4 Apr 2018

  35. P.C. Neves, J. Bernardino, Big data in the cloud: a survey. Open J. Big Data (OJBD) 1(2), 1–18 (2015)

    Google Scholar 

  36. Nexcom, Industry 4.0 smart services dawn with predictive maintenance (2015), http://www.nexcom.com/news/Detail/industry-4-0-smart-services-dawn-with-predictive-maintenance?preview=1. Accessed 14 Mar 2018

  37. Z. Pang, L. Sun, Z. Wang, E. Tian, S.Yang A survey of cloudlet based mobile computing. 2015 International Conference on Cloud Computing and Big Data (CCBD), Shanghai, pp. 268–275 (2015). https://doi.org/10.1109/CCBD.2015.54

  38. C. Perera, Y. Qin, J. Estrella, S. Reiff-Marganiec, A. Vasilakos, Fog computing for sustainable smart cities: a survey. ACM Comput. Surveys (CSUR) 50(3), 43 (2017). https://doi.org/10.1145/3057266

    Article  Google Scholar 

  39. J.S. Preden, K. Tammemae, A. Jantsch, M. Leier, A. Riid, E. Calis, The benefits of self-awareness and attention in fog and mist computing. IEEE Comput. Soc. Comput. 48(7), 37–45 (2015)

    Article  Google Scholar 

  40. J. Preden, Evolution of mist computing from fog and cloud computing THINNECT (2014), http://www.thinnect.com/static/2016/08/cloud-fog-mist-computing-062216.pdf. Accessed 15 Mar 2018

  41. I. Protopop, A. Shanoyah, Big data and smallholder farmers: big data applications in the agri-food supply chain in developing countries. Int. Food Agribusiness Manag. Rev. 19(A), 173–190 (2016)

    Google Scholar 

  42. J.C. Ramirez, Fog, mist and hardware in factory automation (2017), https://www.smartindustry.com/blog/smart-industry-connect/fog-mist-and-hardware-in-factory-automation/. Accessed 14 Mar 2018

  43. J.C. Ramirez, Hardware for industrial IoT fog and mist computing. Combined print magazine for the European Embedded Market, pp. 24–25 (2017), http://files.iccmedia.com/magazines/basoct17/basoct17.pdf. Accessed 14 Mar 2018

  44. P.P. Ray, An introduction to dew computing: definition, concept and implications. IEEE Access 6, 723–737 (2018). https://doi.org/10.1109/ACCESS.2017.2775042

    Article  Google Scholar 

  45. B.P. Rimal, E. Choi, I. Lumb, A taxonomy and survey of cloud computing. 2009 Fifth International joint conference on INC, IMS and IDC, Seoul, pp. 44–51 (2009). https://doi.org/10.1109/NCM.2009.218

  46. A. Rindos, Y. Wang, Dew computing: The complementary piece of cloud computing. 2016 IEEE International conferences on big data and cloud computing (BDCloud), Social computing and networking (SocialCom), Sustainable computing and communications (SustainCom) (BDCloud-SocialCom-SustainCom), Atlanta, GA, pp. 15–20 (2016). https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.14

  47. R. Saracco, Industry 4.0 leveraging on 5G (2017), http://sites.ieee.org/futuredirections/2017/09/19/industry-4-0-leveraging-on-5g/. Accessed 12 Mar 2018

  48. M. Satyanarayanan, P. Bahl, R. Caceres, N. Davies, The case for VM-based cloudlets in mobile computing. IEEE Pervasive Comput. 8(4), 14–23 (2009). https://doi.org/10.1109/MPRV.2009.82

    Article  Google Scholar 

  49. M. Satyanarayanan, Z. Chen, K. Ha, W. Hu, W. Richter and P. Pillai, Cloudlets: at the leading edge of mobile-cloud convergence. 6th International conference on mobile computing, applications and services, Austin, pp. 1–9 (2014). https://doi.org/10.4108/icst.mobicase.2014.257757

  50. Siemens Discover MindSphere (2018), https://siemens.mindsphere.io. Accessed 14 Mar 2018

  51. Siemens MindSphere, the internet of things (IoT) solution (2018), https://www.siemens.com/global/en/home/products/software/mindsphere.html. Accessed 8 Mar 2018

  52. K. Skala, D. Davidovic, E. Afgan, I. Sovic, Z. Sojat, Scalable distributed computing hierarchy: cloud, fog and dew computing. Open J. Cloud Comput. 2(1), 16–24 (2015)

    Google Scholar 

  53. T. Taleb, K. Samdanis, B. Mada, H. Flinck, S. Dutta, D. Sabella, On multi-access edge computing: a survey of the emerging 5G network edge cloud architecture and orchestration. IEEE Commun. Surv. Tutorials 19(3), 1657–1681 (2017)

    Article  Google Scholar 

  54. R. Taylor, B. Frank, Big data opening R&D opportunities in Africa (2017), http://www.scidev.net/index.cfm?originalUrl=/sub-saharan-africa/data/opinion/big-data-opening-opportunities-africa.html&. Accessed 4 Apr 2018

  55. A. Varghese, D. Tandur Wireless requirements and challenges in industry 4.0. 2014 International conference on contemporary computing and informatics (IC3I), Mysore, India, pp. 634–638 (2014). https://doi.org/10.1109/IC3I.2014.7019732

  56. B. Varghese, R. Buyya, Next generation cloud computing: new trends and research directions. Futur. Gener. Comput. Syst. 79(3), 849–861 (2018). https://doi.org/10.1016/j.future.2017.09.020

    Article  Google Scholar 

  57. A. Vork, J. Tamm LED Lights with smart controllers. SmartEnCity project, Estonia, Cityntel (2016), https://smartencity.eu/about/solutions/led-lights-with-smart-controllers-tartu/. Accessed 12 Mar 2018

  58. Y. Wang, Cloud-dew architecture. Int. J. Cloud Comput. 4(3), 199–210 (2015)

    Article  MathSciNet  Google Scholar 

  59. Y. Wang, Definition and categorization of dew computing. Open J. Cloud Comput. 3(1), 1–7 (2016)

    Article  MathSciNet  Google Scholar 

  60. Y. Wang, Y. Pan, Cloud-dew architecture: realizing the potential of distributed database systems in unreliable networks. 21th International conference on parallel and distributed processing techniques and Applications (PDPTA’15), pp. 85–89 (2015)

    Google Scholar 

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Acknowledgements

This work was funded by the Institute for Intelligent Systems and the Department of Electrical and Electronic Science at the University of Johannesburg, South Africa.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering Science, Institute for Intelligent Systems, University of Johannesburg, Johannesburg, South Africa

    Eustace M. Dogo & Thembinkosi Nkonyana

  2. Computer Engineering Department, Faculty of Engineering & Technology, University of Ilorin, Ilorin, Nigeria

    Abdulazeez Femi Salami

  3. Department of Construction Management and Quantity Survey, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

    Clinton O. Aigbavboa

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  1. Eustace M. Dogo
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  2. Abdulazeez Femi Salami
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  3. Clinton O. Aigbavboa
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  4. Thembinkosi Nkonyana
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Correspondence to Eustace M. Dogo .

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  1. Computer Engineering Department, Antalya Bilim University, Antalya, Turkey

    Fadi Al-Turjman

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Dogo, E.M., Salami, A.F., Aigbavboa, C.O., Nkonyana, T. (2019). Taking Cloud Computing to the Extreme Edge: A Review of Mist Computing for Smart Cities and Industry 4.0 in Africa. In: Al-Turjman, F. (eds) Edge Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-99061-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-99061-3_7

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