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The Impact of Sense and Respond Systems

Chandy, K. Mani (2010) The Impact of Sense and Respond Systems. IEEE Internet Computing, 14 (1). pp. 14-16. ISSN 1089-7801.

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Sense and respond (S&R) systems based on information technology amplify one of the most fundamental characteristics of life — the ability to detect and respond to events. Living things thrive when they respond effectively to what’s going on in their environments. A zebra that doesn’t run away from a hungry lion dies and one that runs away unnecessarily wears out. Organizations sense and respond collectively: lions in a pride signal each other when they hunt; societies deal with crises by harnessing capabilities of governments, charities, and individuals. When our ancestors hunted millennia ago, they saw as far as the eye could see and threw spears as far as their muscles let them. Today, S&R systems let us detect events far out in space and respond anywhere on the globe. By 2020, S&R systems will become an integral part of the activities of people and organizations around the world whether they’re rich or poor, in farming or medicine, at work or at play.

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Additional Information:© 2010 IEEE.
Subject Keywords:participatory sensing, Internet, personal data vault, ubiquitous data capture, data processing, data protection, tussle, socio-technical systems, broadband, global networks, interactive entertainment, cloud computing, procedural content generation, climate, carbon emissions, green, Internet evolution, wireless, technology forecasting, prognosticators, vision, tussle, socio-technical systems, broadband, global networks, information society, future ICT for sustainable growth, Internet of Things, open machine translation, intercultural collaboration, services computing, language grid, cloud computing, bottom of the pyramid, quant revolution, multinationals, knowledge-worker, profit-center, creation net, Software engineering, telecommunications, space technology
Issue or Number:1
Record Number:CaltechAUTHORS:20110407-094212599
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Official Citation:Deborah Estrin, K. Mani Chandy, R. Michael Young, Larry Smarr, Andrew Odlyzko, David Clark, Viviane Reding, Toru Ishida, Sharad Sharma, Vinton G. Cerf, Urs Hölzle, Luiz André Barroso, Geoff Mulligan, Adrian Hooke, Chip Elliott, "Internet Predictions," IEEE Internet Computing, vol. 14, no. 1, pp. 12-42, Jan./Feb. 2010, doi:10.1109/MIC.2010.12
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:23250
Deposited By: Jason Perez
Deposited On:10 Apr 2011 03:45
Last Modified:03 Oct 2019 02:44

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