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Networks and New Services: A Complete Story pp 53–87Cite as

Technological Evolution of the ICT Sector

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Part of the book series: Internet of Things ((ITTCC))

Abstract

We have not reached the cusp of technology evolution yet. Fresh innovations are lined up for disrupting established ‘‘mainstream’’ technologies. Exploring technology evolution provides clues to the next wave of transformation and strategic decisions. Data centers technologies demonstrate how service ‘‘factories’’ can merge client–server front end, with an elaborate distributed computing and cloud behind, but also illustrate that the technological gap between Webco and Telco offerings is increasing due to web agility and DIY attitudes.

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Notes

  1. 1.

    i.e., a singularity point in this context is a point in time in which the speed and the results of technological evolution will cause disruptive effets on the current ICT sector and in particular, in Telecommunications leading to a complete transformation of its models, markets and approaches.

  2. 2.

    http://slashdot.org/topic/datacenter/dell-calxeda-develop-second-arm-server/. Last accessed on April 9th, 2013.

  3. 3.

    http://www.crn.com/news/data-center/231902061/hp-intros-low-energy-data-center-platform-based-on-arm-servers.htm?itc=xbodyjk. Last accessed on April 9th, 2013.

  4. 4.

    http://billstarnaud.blogspot.it/2012/02/amazons-simple-workflow-and-software.html. Last accessed April 9th 2013.

  5. 5.

    See Open Networking Foundation at www.opennetworking.org. Last accessed 30th May 2013.

  6. 6.

    http://gigaom.com/2013/01/31/facebook-experiments-with-small-scale-software-defined-networking/. Last accessed April 9th, 2013.

  7. 7.

    See for instance http://engineering.twitter.com/2010/07/cassandra-at-twitter-today.html for the usage of a nosql solution in Twitter. Last accessed April 9th, 2013.

  8. 8.

    For a definition of Virtualization see http://www.webopedia.com/TERM/V/virtualization.html.

  9. 9.

    Software efficiency halves every 18 months, compensating Moore’s Law (http://en.wikipedia.org/wiki/David_May_%28computer_scientist%29).

  10. 10.

    i.e., terminals that have a considerable processing power and storage as well as the ability to use different of connectivity means (e.g., 3 or 4 G, WiFi, Bluetooth).

  11. 11.

    See http://www.nanodatacenters.eu. Last accessed May 30th 2013.

  12. 12.

    See http://www.identitywoman.net/the-identity-spectrum.

  13. 13.

    See for instance http://en.wikipedia.org/wiki/MapReduce. Last accessed May 30th 2013.

  14. 14.

    From Wikipedia: “Brewer’s theorem, states that it is impossible for a distributed computer system to simultaneously provide all three of the following guarantees: (a) Consistency (all nodes see the same data at the same time); (b) Availability (a guarantee that every request receives a response about whether it was successful or failed); (c) Partition tolerance (the system continues to operate despite arbitrary message loss or failure of part of the system). According to the theorem, a distributed system cannot satisfy all three of these guarantees at the same time.

  15. 15.

    See http://www.irmosproject.eu/.

  16. 16.

    Information available at https://wiki.openstack.org/wiki/Quantum. Last accessed May 29th 2013.

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Authors and Affiliations

  1. Telecom Italia, Turin, Italy

    Roberto Minerva

  2. Institut Telecom, Telecom SudParis, Evry Cedex, France

    Noel Crespi

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  1. Roberto Minerva
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Correspondence to Roberto Minerva .

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Minerva, R., Crespi, N. (2017). Technological Evolution of the ICT Sector. In: Networks and New Services: A Complete Story. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-319-33995-5_3

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