[High-Performance Computing Communications and networked communication can be key in future universal network services:] Extensions to the existing Internet technology base will provide more widespread use by a much larger number of users. These include techniques for improved ease-of-use, “plug-and-play” network interoperation, remote maintenance, exploitation of new “last mile” technologies like cable TV and wireless, management of hybrid/asymmetric network bandwidth, guaranteed quality of service for continuous media streams, and scale-up of network capabilities to dramatically larger numbers of users.
Predictor: Information Infrastructure Technology and Applications (IITA) Task Group: High-Performance Computing and Communications Information Technology Subcommittee
Prediction, in context:In a final draft of their Dec. 1, 1993 recommendations for the National Information Infrastructure, members of the High-Performance Computing Communications and Information Technology subcommittee write the following: ”[High-Performance Computing Communications and networked communication can be key in future universal network services:] Extensions to the existing Internet technology base will provide more widespread use by a much larger number of users. These include techniques for improved ease-of-use, ‘plug-and-play’ network interoperation, remote maintenance, exploitation of new ‘last mile’ technologies like cable TV and wireless, management of hybrid/asymmetric network bandwidth, guaranteed quality of service for continuous media streams, and scale-up of network capabilities to dramatically larger numbers of users.”
Date of prediction: December 1, 1993
Topic of prediction: Information Infrastructure
Subtopic: Pipeline/Switching/Hardware
Name of publication: Information Infrastructure Technology and Applications - Report of the IITA Task Group: High-Performance Computing Communications and Information Technology Subcommittee
Title, headline, chapter name: 3.2 Information Infrastructure Services
Quote Type: Direct quote
Page number or URL of document at time of study:
http://www.ifla.org/documents/infopol/us/iita.txt
This data was logged into the Elon/Pew Predictions Database by: Kohlhagen, Kelly C.