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Cognitive Computation
Published in: Cognitive Computation 5/2017

27-05-2017

Storages Are Not Forever

Authors: Erik Cambria, Anupam Chattopadhyay, Eike Linn, Bappaditya Mandal, Bebo White

Published in: Cognitive Computation | Issue 5/2017

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Abstract

Not unlike the concern over diminishing fossil fuel, information technology is bringing its own share of future worries. We chose to look closely into one concern in this paper, namely the limited amount of data storage. By a simple extrapolatory analysis, it is shown that we are on the way to exhaust our storage capacity in less than two centuries with current technology and no recycling. This can be taken as a note of caution to expand research initiative in several directions: firstly, bringing forth innovative data analysis techniques to represent, learn, and aggregate useful knowledge while filtering out noise from data; secondly, tap onto the interplay between storage and computing to minimize storage allocation; thirdly, explore ingenious solutions to expand storage capacity. Throughout this paper, we delve deeper into the state-of-the-art research and also put forth novel propositions in all of the abovementioned directions, including space- and time-efficient data representation, intelligent data aggregation, in-memory computing, extra-terrestrial storage, and data curation. The main aim of this paper is to raise awareness on the storage limitation we are about to face if current technology is adopted and the storage utilization growth rate persists. In the manuscript, we propose some storage solutions and a better utilization of storage capacity through a global DIKW hierarchy.
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Metadata
Title
Storages Are Not Forever
Authors
Erik Cambria
Anupam Chattopadhyay
Eike Linn
Bappaditya Mandal
Bebo White
Publication date
27-05-2017
Publisher
Springer US
Published in
Cognitive Computation / Issue 5/2017
Print ISSN: 1866-9956
Electronic ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-017-9482-4

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