From photons to big-data applications: terminating terabits

Author:

Zilberman NoaORCID,Moore Andrew W.ORCID,Crowcroft Jon A.ORCID

Abstract

Computer architectures have entered a watershed as the quantity of network data generated by user applications exceeds the data-processing capacity of any individual computer end-system. It will become impossible to scale existing computer systems while a gap grows between the quantity of networked data and the capacity for per system data processing. Despite this, the growth in demand in both task variety and task complexity continues unabated. Networked computer systems provide a fertile environment in which new applications develop. As networked computer systems become akin to infrastructure, any limitation upon the growth in capacity and capabilities becomes an important constraint of concern to all computer users. Considering a networked computer system capable of processing terabits per second, as a benchmark for scalability, we critique the state of the art in commodity computing, and propose a wholesale reconsideration in the design of computer architectures and their attendant ecosystem. Our proposal seeks to reduce costs, save power and increase performance in a multi-scale approach that has potential application from nanoscale to data-centre-scale computers.

Funder

UK Engineering and Physical Sciences Research Council Internet Project

Defense Advanced Research Projects Agency and the Air Force Research Laboratory

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference50 articles.

1. The anatomy of a large-scale hypertextual Web search engine

2. Dynamo

3. The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites

4. Nelson J Holt B Myers B Briggs P Ceze L Kahan S Oskin M. 2014 Grappa: a latency-tolerant runtime for large-scale irregular applications. Technical Report UW-CSE-14-02-01 University of Washington Washington DC USA.

5. Australian SKA Pathfinder: A High-Dynamic Range Wide-Field of View Survey Telescope

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