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Aerial computing—security from missile threats and enhancing PUE

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Abstract

Data centers have operational challenges due to high cooling costs and the necessity of ensuring physical security to keep data safe. The activities of malicious organizations in countries without sophisticated missile defence systems also necessitate enhancing data center security. The expending of significant power for cooling degrades data center power usage effectiveness (PUE). The use of high altitude platform data centers (HAP-DCs) is proposed to address these challenges. The HAP-DC incorporates a location mechanism which ensures that HAP-DCs have a dynamic location making them difficult targets for aerial missiles. The paper also proposes a stratospheric scheduling mechanism to enhance the HAP-DC’s PUE. The scheduling mechanism ensures that HAP-DCs sited where the stratosphere has best cooling ability are used for workload execution. Analysis shows that the location mechanism enhances safety against missile threats by at least 6.7% and up to 35.4% on average. The scheduling mechanism enhances the PUE by at least 43.8% and up to 81.1% on average.

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References

  1. Yang J, Xiao W, Jiang C, Hossain MS, Muhammad G, Amin SU (2019) AI-powered green cloud and data center. In: IEEE access, special section on artificial intelligence and cognitive computing for communication and network, vol 7, pp 4195–4203

  2. Taherkordi A, Zahid F, Verginadis Y, Horn G (2018) Future cloud systems design: challenges and research directions. IEEE Access 6:74120–74150

    Article  Google Scholar 

  3. Vakilinia S (2018) Energy efficient temporal load aware resource allocation in cloud computing datacenters. J Cloud Comput Adv Syst Appl 7(2):1–24. https://doi.org/10.1186/s13677-017-0103-2

    Article  Google Scholar 

  4. Chiaraviglio L, D’Andreagiovanni F, Lancellotti R, Shojafar M, Melazzi NB, Canali C (2018) An approach to balance maintenance costs and electricity consumption in cloud data centers. IEEE Trans Sustain Comput 3(4):274–288

    Article  Google Scholar 

  5. Vonderau A (2019) Scaling the cloud: making state and infrastructure in Sweden. Erhnos 84(4):698–718

    Google Scholar 

  6. Maguire J, Winthereik BR (2019) Digitalizing the state: data centers and the power of exchange. Ethnos. https://doi.org/10.1080/00141844.2019.1660391

    Article  Google Scholar 

  7. Bertoldi P, Avgerinou, Castellazzi L (2017) Trends in data center energy consumption under the European code of conduct for data center energy efficiency. JRC Technical Reports, European Commission

  8. Velkova J (2016) Data that warms: waste heat, infrastructural convergence and the computation traffic commodity. Big Data Soc 3:1–10

    Article  Google Scholar 

  9. Periola A (2019) Incorporating diversity in cloud-computing: a novel paradigm and architecture for enhancing the performance of future cloud radio access networks. Wirel Netw 25(7):3783–3803

    Article  Google Scholar 

  10. Periola AA, Alonge AA, Ogudo KA (2019) Multi-paradigm computing architecture for power efficient intent based networks. In: IEEE wireless Africa conference, Pretoria, South Africa, 18–20 Aug 2019. https://doi.org/10.1109/AFRICA.2019.8843400

  11. Wikileaks, ‘Amazon Atlas : Map of Amazon's Data Centers’. https://wikileaks.org/amazon-atlas/map/. Accessed 20 April 2020

  12. Saarinen J (2018) AWS Sydney data center locations leaked. https://www.itnews.com.au/news/aws-sydney-data-centre-locations-leaked-513904. Accessed 25 Aug 2020

  13. Wikileaks, DataCenterLocations. https://wikileaks.org/amazon-atlas/document/AmazonAtlas_v1/AmazonAtlas_v1.pdf. Accessed 20 April 2020

  14. Manna E, Franzblau J Open the government-government inc: amazon, government security & secrecy. https://www.openthegovernment.org/wp-content/uploads/2019/03/CDW-Report_FINAL-_Government-Inc.-Amazon-Government-Security-Secrecy-1.pdf. Accessed 25 April 2020

  15. Litwak RS (2016) Deterring nuclear terrorism. Wilson Center

  16. Eweiss N (2016) Non-state actors & WMD: does ISIS have a pathway to a nuclear weapon. pp 1–8

  17. Pomper MA, Tarini G (2017) Nuclear terrorism – threat or not? Nuclear weapons and related security issues. In: AIP Conf Proc 1898, pp 050001-1–050001-16

  18. David Y, Hasan S, Pearce P (2012) Location matters: limitations of global scale datacenters. Technical Report 2012, pp 1–11

  19. Yang Y, Ren RC, Cai M (2016) Towards a physical understanding of stratospheric cooling under global warming through a process-based decomposition method. Clim Dyn 47:3767–3782

    Article  Google Scholar 

  20. Ibrahim A, Alfa AS (2019) Optimizing radio resources for multicasting on high-altitude platforms. EURASIP J Wirel Commun Netw 2019:213. https://doi.org/10.1186/s13638-019-1519-9

    Article  Google Scholar 

  21. Ahmadi H, Katzis K, Shakir MZ (2017) A novel airborne self-organising architecture for 5G+ networks. In: Conference: 2017 IEEE 86th vehicular technology conference (VTC-Fall). https://doi.org/10.1109/VTCFall.2017.8288095

  22. Vito PD, Fischer D, Rinaldo R (2018) HAPs operations and service provision in critical scenarios. In: SpaceOps conferences, 28 May–1 June 2018, Marseille, France, 2018, Space Ops conference, pp 1–8

  23. Antti A, Pekka R, Markku K (2019) 3GPP nonterrestrial networks: a concise review and look ahead. VTT Technical Research Center of Finland. VTT Research Report, No. VTT-R-00079-19

  24. Ahmadi H, Fontanesi G, Katzis K, Shakir MZ, Zhu A (2018) Resilience of airborne networks. In: IEEE international symposium on personal, indoor and mobile radio communications, pp 9–12 Sept 2018, Bologna, Italy. https://doi.org/10.1109/PIMRC.2018.8580944

  25. Ruiu P, Scionti A, Nider J, Rapoport M (2016) Workload management for power efficiency in heterogeneous data centers. In: International conference on complex, intelligent and software intensive systems, 6–8 July 2016, Fukuoka, Japan. https://doi.org/10.1109/CISIS.2016.107

  26. Townend P, Clement S, Burdett D, Yang R, Shaw J, Slater B, Xu J (2019) Improving data center efficiency through holistic scheduling in kubernetes. In: IEEE international conference on service-oriented system engineering (SOSE), San Francisco East Bay, CA, USA, USA, 4–9 April 2019, pp 156–166

  27. Sun H, Stolf P, Pierson J (2017) Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters. Future Gener Comput Syst 71:157–170

    Article  Google Scholar 

  28. Li Y, Wang X, Luo P, Pan Q (2019) Thermal-aware hybrid workload management in a green datacenter towards renewable energy utilization. Energies 12:1494. https://doi.org/10.3390/en12081494

    Article  Google Scholar 

  29. Kharina A, MacDonald T, Rutherford D (2018) Environmental performance of emerging supersonic transport aircraft. In: International council on clean transportation, 2018, working paper, 2018-12, pp 1–12

  30. Speier RH, Nacouzi G, Lee CA, Moore RM (2017) Hindering the Spread of a New Class of Weapons. Santa Monica, CA: RAND Corporation. https://www.rand.org/pubs/research_reports/RR2137.html.

  31. Szopa S, Thieblemont R, Bekki S, Botysun S, Sepulchre P (2019) Role of the stratospheric chemistry – climate interactions in the hot climate conditions of the Eocene. Clim Past 15:1187–1203

    Article  Google Scholar 

  32. Shehabi A, Smith S, Sarkor D, Brown R, Herrlin M, Koomey J, Masanet E, Horner N, Azevedo I, Linther W (2016) United States data center energy usage report

  33. The Engineering Toolbox, Methane - Thermophysical Properties. https://www.engineeringtoolbox.com/methane-d_1420.html. Accessed 19 May 2020

  34. The Engineering Toolbox, ‘Carbon Dioxide Gas - Specific Heat’. https://www.engineeringtoolbox.com/carbon-dioxide-d_974.html. Accessed 22 May 2020

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Authors and Affiliations

  1. Department of Electrical, Electronics and Computer Engineering, Bells University of Technology, Ota, Nigeria

    A. A. Periola

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Periola, A.A. Aerial computing—security from missile threats and enhancing PUE. AS 3, 327–342 (2020). https://doi.org/10.1007/s42401-020-00064-9

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