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Abstract

In a 1961 lecture to celebrate MIT’s centennial, John McCarthy proposed the vision of utility computing, including three key concepts of pay-per-use service, large computer and private computer. Six decades have passed, but Mc- Carthy’s computing utility vision has not yet been fully realized, despite advances in grid computing, services computing and cloud computing. This paper presents a perspective of computing utility called Information Superbahn, building on recent advances in cloud computing. This Information Superbahn perspective retains McCarthy’s vision as much as possible, while making essential modern requirements more explicit, in the new context of a networked world of billions of users, trillions of devices, and zettabytes of data. Computing utility offers pay-per-use computing services through a 1) planet-scale, 2) low-entropy and 3) high-goodput utility. The three salient characteristics of computing utility are elaborated. Initial evidence is provided to support this viewpoint.

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Title
Information Superbahn: Towards a Planet-Scale, Low-Entropy and High-Goodput Computing Utility
Author
Xu, Zhi-Wei 1 ; Li, Zhen-Ying 1 ; Yu, Zi-Shu 1 ; Li, Feng-Zhi 1 

 Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China (GRID:grid.424936.e) (ISNI:0000 0001 2221 3902); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
Volume
38
Issue
1
Pages
103-114
Publication year
2023
Publication date
Feb 2023
Publisher
Springer Nature B.V.
Place of publication
Beijing
Country of publication
Netherlands
ISSN
10009000
e-ISSN
18604749
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2023-01-31
Milestone dates
2022-12-30 (Registration); 2022-10-10 (Received); 2022-12-02 (Accepted)
Publication history
 
 
   First posting date
31 Jan 2023
ProQuest document ID
2918504980
Document URL
https://www.proquest.com/scholarly-journals/information-superbahn-towards-planet-scale-low/docview/2918504980/se-2?accountid=208611
Copyright
© Institute of Computing Technology, Chinese Academy of Sciences 2023.
Last updated
2024-12-12
Database
ProQuest One Academic