Web browsers accessing multiple Web servers is the architecture for the next wave of client/server computing. Carry this approach a little further and we will see the resurrection of big applications running on big servers that are accessed by “skinny” clients running Web browsers – the modern equivalent of massive time-sharing machines connected to thousands of terminals. By the end of the millennium, we will see the start of the “Webconnected” society.
Predictor: Grochow, Jerrold M.
Prediction, in context:In a 1995 article he wrote for Computerworld, Jerrold Grochow, chief technology officer for American Management Systems Inc. in Fairfax, Va., writes:”Looking for a way to allow customers to check the status of their orders? Contemplating how to provide more direct support to your product clients? Analyzing strategies for making the data warehouse available to sales agents on the road? Trying to figure out how to bring multimedia training materials to your remote offices? Just put them on the Web … Web browsers accessing multiple Web servers is the architecture for the next wave of client/server computing. Carry this approach a little further and we will see the resurrection of big applications running on big servers that are accessed by ‘skinny’ clients running Web browsers – the modern equivalent of massive time-sharing machines connected to thousands of terminals. By the end of the millennium, we will see the start of the ‘Webconnected’ society. And we owe it all to a 24-year-old networking protocol, coupled with some clever ideas on how to deliver graphics and data from CERN (the European Laboratory for Particle Physics) to the National Center for Supercomputing applications.”
Date of prediction: January 1, 1995
Topic of prediction: Information Infrastructure
Subtopic: Pipeline/Switching/Hardware
Name of publication: Computerworld
Title, headline, chapter name: Client/server’s Future is on the Web
Quote Type: Direct quote
Page number or URL of document at time of study:
Vol. 30, Issue 1, Page 57ISSN: 00104841
This data was logged into the Elon/Pew Predictions Database by: Anderson, Janna Quitney