References
- Abbas, N., Zhang, Y., Taherkordi, A., & Skeie, T. (2018). Mobile edge computing: A survey. IEEE Internet of Things Journal, 5(1), 450–465. https://doi.org/https://doi.org/10.1109/JIOT.2017.2750180
- Ahmed, E., Yaqoob, I., Hashem, I. A. T., Khan, I., Ahmed, A. I. A., Imran, M., & Vasilakos, A. V. (2017). The role of big data analytics in internet of things. Computer Networks, 129, 459–471. https://doi.org/https://doi.org/10.1016/j.comnet.2017.06.013
- Alrawais, A., Alhothaily, A., Hu, C., & Cheng, X. (2017). Fog computing for the internet of things: Security and privacy issues. IEEE Internet Computing, 21(2), 34–42. https://doi.org/https://doi.org/10.1109/MIC.2017.37
- Ananthanarayanan, G., Bahl, P., Bodík, P., Chintalapudi, K., Philipose, M., Ravindranath, L., & Sinha, S. (2017). Real-time video analytics: The killer app for edge computing. Computer, 50(10), 58–67. https://doi.org/https://doi.org/10.1109/MC.2017.3641638
- Anderson, C. (2008, June 23). The end of theory: The data deluge makes the scientific method obsolete. Wired. https://www.wired.com/2008/06/pb-theory/
- Andrejevic, M., & Gates, K. (2014). Big data surveillance: Introduction. Surveillance & Society, 12(2), 185–196. https://doi.org/https://doi.org/10.24908/ss.v12i2.5242
- Arabi, K. (2014, June 4). Mobile computing opportunities, challenges and technology drivers. Design Automation Conference, San Francisco. http://www2.dac.com/events/videoarchive.aspx?confid=170&filter=keynote&id=170-103--0&#video.
- Bahl, V. (2015, May 13). Emergence of micro datacenter (cloudlets/edges) for mobile computing. Microsoft Research.
- Bahnhof. (2019). Pionen. https://www.bahnhof.net/page/datacenter-pionen
- Bailas, C., Marsden, M., Zhang, D., O’Connor, N. E., & Little, S. (2018). Performance of video processing at the edge for crowd-monitoring applications. In H. Mueller, Y. Rongshan, & A. Skarmeta (Eds.), 2018 IEEE 4th world forum on internet of things (WF-IoT) (pp. 482–487). IEEE Computer Society. https://doi.org/https://doi.org/10.1109/WF-IoT.2018.8355170
- Baran, P. (1964). On distributed communications networks. IEEE Transactions on Communications Systems, 12(1), 1–9. doi: https://doi.org/10.1109/TCOM.1964.1088883
- Barroso, L. A., Clidaras, J., & Hölzle, U. (2013). The datacenter as a computer: An introduction to the design of warehouse-scale machines (2nd ed.). Morgan & Claypool Publishers.
- Beck, M. T., Werner, M., Feld, S., & Schimper, S. (2014). Mobile edge computing: A taxonomy. Proceedings of the Sixth International Conference on Advances in Future Internet, 48–55.
- Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog computing and its role in the internet of things. In M. Gerla & D. Huang (Eds.), Proceedings of the first edition of the MCC workshop on Mobile cloud computing - MCC ’12 (pp. 13–16). ACM Press. https://doi.org/https://doi.org/10.1145/2342509.2342513
- Cao, Y., Hou, P., Brown, D., Wang, J., & Chen, S. (2015). Distributed analytics and edge intelligence: Pervasive health monitoring at the era of Fog computing. Proceedings of the 2015 Workshop on Mobile Big Data, 43–48. https://doi.org/https://doi.org/10.1145/2757384.2757398
- Chen, X., Shi, Q., Yang, L., & Xu, J. (2018). Thriftyedge: Resource-efficient edge computing for intelligent IoT applications. IEEE Network, 32(1), 61–65. https://doi.org/https://doi.org/10.1109/MNET.2018.1700145
- Cisco Systems. (2015). Fog computing and the internet of things: Extend the cloud to where the things are. Cisco Systems. https://www.cisco.com/c/dam/en_us/solutions/trends/iot/docs/computing-overview.pdf
- Cowan, C., & Gaskins, C. (2006). Monitoring physical threats in the data center (p. 15). American Power Conversion.
- Dautov, R., Distefano, S., Bruneo, D., Longo, F., Merlino, G., Puliafito, A., & Buyya, R. (2018). Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms. Software: Practice and Experience, 48(8), 1475–1492. https://doi.org/https://doi.org/10.1002/spe.2586
- Davies, A. (2014, December 19). Cisco pushes IoT analytics to the extreme edge with mist computing. Rethink. https://rethinkresearch.biz/articles/cisco-pushes-iot-analytics-extreme-edge-mist-computing-2/
- Easterling, K. (2016). Extrastatecraft: The power of infrastructure space. Verso.
- Equinix. (2015, August 16). IBX® Singapore 3 (SG3) Data Center Tour. https://www.youtube.com/watch?v=AnDz9Clzs8k
- Ernst, W. (2012). Digital memory and the archive. University Of Minnesota Press.
- ETSI. (2019, June). 5g, 5g Specs. ETSI. https://www.etsi.org/technologies/5g
- Evans, B. (2019, May 9). Ten-year futures: How will tech change the world? Business of Fashion. https://www.youtube.com/watch?v=-cxby9Nff2w.
- Fichera, R., & Staten, J. (2013). Five data center and IT infrastructure lessons from The cloud giants (p. 15). Forrester Research.
- Filippi, P. D. (2013). Flawed cloud architectures and the rise of decentral alternatives. Internet Policy Review, 2(4). https://policyreview.info/articles/analysis/flawed-cloud-architectures-and-rise-decentral-alternatives https://doi.org/https://doi.org/10.14763/2013.4.212
- FogHorn. (2019, July 1). FogHorn lightning. FogHorn systems. https://www.foghorn.io/lightning-iot-edge-computing/.
- Foucault, M. (1995). Discipline and punish: The Birth of the prison (A. Sheridan, Trans.). Vintage.
- Google. (2019a). Cloud TPU. Google Cloud. https://cloud.google.com/tpu/
- Google. (2019b). Edge TPU. Google Cloud. https://cloud.google.com/edge-tpu/
- Green, M. (2013). The submarine cable industry: How does it work? In D. R. Burnett, R. Beckman, & T. M. Davenport (Eds.), Submarine cables (pp. 41–60). Brill.
- Grover, J., & Garimella, R. M. (2018). Optimization in edge computing and small-cell networks. In F. Al-Turjman (Ed.), Edge computing: From hype to reality (pp. 17–32). Springer Nature.
- Headrick, D. R. (1988). The tentacles of progress: Technology transfer in the age of imperialism, 1850-1940. Oxford University Press.
- Hernandez, P. (2014, October 20). Microsoft expands its hyperscale cloud footprint. EWEEK. https://www.eweek.com/cloud/microsoft-expands-its-hyperscale-cloud-footprint
- Hogan, M. (2015). Data flows and water woes: The Utah data center. Big Data & Society, 2(2), 205395171559242. https://doi.org/https://doi.org/10.1177/2053951715592429
- Holmes, P. (2018, August 17). IoT at the Edge: Bringing intelligence to the edge using Cloud IoT. Cloud Next ‘18), San Francisco. https://www.youtube.com/watch?v=-T9MNR-Bl8I
- Holt, J., & Vonderau, P. (2015). ‘Where the internet lives’: Data centers as cloud infrastructure. In L. Parks, & N. Starosielski (Eds.), Signal traffic: Critical studies of media infrastructures (pp. 175–229). University of Illinois Press.
- Howard, B. (2018, May 7). Fatal Arizona crash: Uber car saw woman, called it a false positive. ExtremeTech. https://www.extremetech.com/extreme/268915-fatal-arizona-crash-ubercar-saw-woman-called-it-a-false-positive
- Hsu, J. (2017, August 23). It’s time to think beyond cloud computing. Wired. https://www.wired.com/story/its-time-to-think-beyond-cloud-computing/
- Hu, T.-H. (2015). A prehistory of the cloud. MIT Press.
- Iron Mountain. (2019). Underground Data Centers. Iron Mountain. https://www.ironmountain.com/digital-transformation/data-centers/about/underground-data-centers
- Krajewski, M. (2011). Paper machines: About cards & catalogs, 1548-1929 (P. Krapp, Trans.). MIT Press.
- Levine, P. (2019, March 22). The End of Cloud Computing. CloudSummitX. https://www.youtube.com/watch?v=74tKg06Jfpo
- Luan, T. H., Gao, L., Li, Z., Xiang, Y., Wei, G., & Sun, L. (2015). Fog computing: Focusing on mobile users at the edge. http://arxiv.org/abs/1502.01815
- Mackenzie, A. (2009). Intensive movement in wireless digital signal processing: From calculation to envelopment. Environment and Planning A: Economy and Space, 41(6), 1294–1308. https://doi.org/https://doi.org/10.1068/a40351
- Magaki, I., Khazraee, M., Gutierrez, L. V., & Taylor, M. B. (2016). ASIC Clouds: Specializing the datacenter. 47.
- Miller, R. (2012, November 6). A hyper-scale cloud data center, seen from the clouds. Data Center Knowledge. https://www.datacenterknowledge.com/archives/2012/11/06/facebook-lulea-aerial-view
- Miller, R. (2019a, January 4). The eight trends that will shape the data center industry in 2019. Data Center Frontier. https://datacenterfrontier.com/the-eight-trends-that-will-shape-the-data-center-industry-in-2019/
- Miller, R. (2019b, June 20). How powerful new AI hardware will impact data center design. Data Center Frontier. https://datacenterfrontier.com/how-powerful-new-ai-hardware-will-impact-data-center-design/
- Mukherjee, M., Matam, R., Shu, L., Maglaras, L., Ferrag, M. A., Choudhury, N., & Kumar, V. (2017). Security and privacy in Fog computing: Challenges. IEEE Access, 5, 19293–19304. https://doi.org/https://doi.org/10.1109/ACCESS.2017.2749422
- Nastic, S., Rausch, T., Scekic, O., Dustdar, S., Gusev, M., Koteska, B., Kostoska, M., Jakimovski, B., Ristov, S., & Prodan, R. (2017). A serverless real-time data analytics platform for edge computing. IEEE Internet Computing, 21(4), 64–71. https://doi.org/https://doi.org/10.1109/MIC.2017.2911430
- Nealon, J. (2008). Foucault beyond Foucault: Power and its intensifications Since 1984. Stanford University Press.
- Ning, Z., Huang, J., & Wang, X. (2019). Vehicular fog computing: Enabling real-time traffic management for smart cities. IEEE Wireless Communications, 26(1), 87–93. https://doi.org/https://doi.org/10.1109/MWC.2019.1700441
- OpenFog Consortium Architecture Working Group. (2017). Reference architecture for fog computing. OpenFog Consortium. https://www.iiconsortium.org/pdf/OpenFog_Reference_Architecture_2_09_17.pdf
- Parks, L., & Starosielski, N. (eds.). (2017). Signal traffic: Critical studies of media infrastructures. University of Illinois Press.
- Prahlad, P. (2018, November 28). Computing at the Edge with AWS Greengrass & Amazon FreeRTOS. AWS re:Invent 2018. https://www.youtube.com/watch?v=iKXzcRnIvWA
- Roman, R., Lopez, J., & Mambo, M. (2018). Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges. Future Generation Computer Systems, 78, 680–698. https://doi.org/https://doi.org/10.1016/j.future.2016.11.009
- Ruppert, E., Isin, E., & Bigo, D. (2017). Data politics. Big Data & Society, 4(2), 1–7. https://doi.org/https://doi.org/10.1177/2053951717717749
- Russinovich, M. (2018, October 2). Inside Azure datacenter architecture. Microsoft Ignite. https://www.youtube.com/watch?v=D8hMu4jJAwo
- Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009). The Case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4), 14–23. https://doi.org/https://doi.org/10.1109/MPRV.2009.82
- Shih, P. (2019). Infra // STRUCTURE. https://www.infrastructuresummit.io
- Smith, J. (2019, July 18). Finding packet (S. Tario, Interviewer) [Interview]. https://soundcloud.com/ilovedatacenters/packet-episode-035-jacob-smith
- Stack, T. (2018, February 5). Internet of things (IoT) data continues to explode exponentially. Who is using that data and how? Cisco Blogs. https://blogs.cisco.com/datacenter/internet-of-things-iot-data-continues-to-explode-exponentially-who-is-using-that-data-and-how.
- Starosielski, N. (2015). The undersea network. Duke University Press.
- Sverdlik, Y. (2018, July 31). When air no longer cuts it: Inside Google’s AI-Driven shift to liquid cooling. Data Center Knowledge. https://www.datacenterknowledge.com/google-alphabet/when-air-no-longer-cuts-it-inside-google-s-ai-driven-shift-liquid-cooling
- Carter, L., United Nations Environment Programme, & World Conservation Monitoring Centre (Ed.). (2009). Submarine cables and the oceans: Connecting the world. UNEP World Conservation Monitoring System; International Cable Protection Committee.
- Verma, P., & Sood, S. K. (2018). Fog assisted-IoT enabled patient health monitoring in smart homes. IEEE Internet of Things Journal, 5(3), 1789–1796. https://doi.org/https://doi.org/10.1109/JIOT.2018.2803201
- Wang, C., Zhang, Q., Liu, W., Liu, Y., & Miao, L. (2019). Facial feature discovery for ethnicity recognition. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(1), e1278. https://doi.org/https://doi.org/10.1002/widm.1278
- Whitted, W. H., & Aigner, G. (2007). Modular data center (Patent No. US7278273B1). https://patents.google.com/patent/US7278273B1/en.
- Yi, S., Qin, Z., & Li, Q. (2015). Security and privacy issues of fog computing: A survey. In K. Xu, & H. Zhu (Eds.), International conference on wireless algorithms, systems, and applications (pp. 685–695). Springer.
- Zhang, B., Mor, N., Kolb, J., Chan, D. S., Goyal, N., Lutz, K., Allman, E., Wawrzynek, J., Lee, E., & Kubiatowicz, J. (2015). The cloud is Not enough: Saving Iot from the cloud. Proceedings of the 7th USENIX Conference on Hot Topics in Cloud Computing, 21–28. http://dl.acm.org/citation.cfm?id=2827719.2827740.