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2017 | OriginalPaper | Chapter

3. Technological Evolution of the ICT Sector

Authors : Roberto Minerva, Noel Crespi

Published in: Networks and New Services: A Complete Story

Publisher: Springer International Publishing

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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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Footnotes
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.
 
5
See Open Networking Foundation at www.​opennetworking.​org. Last accessed 30th May 2013.
 
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.
 
9
Software efficiency halves every 18 months, compensating Moore’s Law (http://​en.​wikipedia.​org/​wiki/​David_​May_​%28computer_​scientist%29).
 
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
See http://​www.​nanodatacenters.​eu. Last accessed May 30th 2013.
 
13
See for instance http://​en.​wikipedia.​org/​wiki/​MapReduce. Last accessed May 30th 2013.
 
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.
 
16
Information available at https://​wiki.​openstack.​org/​wiki/​Quantum. Last accessed May 29th 2013.
 
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Metadata
Title
Technological Evolution of the ICT Sector
Authors
Roberto Minerva
Noel Crespi
Copyright Year
2017
Book
Networks and New Services: A Complete Story

Print ISBN: 978-3-319-33993-1

Electronic ISBN: 978-3-319-33995-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-33995-5_3

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