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The imminent complexity quagmire in pervasive computing - Autonomic agents a solution?

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper highlights the need for intrinsic self- management for next generation computing to combat the inherent complexity involved in the sheer scale of pervasive devices and connectivity. Through emerging lessons from a deployed Biometric Identification and Tracking System the recommendation from current available technologies is to utilize autonomic agents to provide the future requirements for self-management.
Original languageEnglish
Title of host publicationProceedings of the 12th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS
PublisherIEEE
DOIs
Publication statusPublished (in print/issue) - Jul 2007
EventIEEE International Conference on Engineering Complex Computer Systems - Auckland, New Zealand
Duration: 11 Jul 200714 Jul 2007
Conference number: 12
https://ieeexplore.ieee.org/xpl/conhome/4276289/proceeding

Conference

ConferenceIEEE International Conference on Engineering Complex Computer Systems
Abbreviated titleICECCS
Country/TerritoryNew Zealand
CityAuckland
Period11/07/0714/07/07
Internet address

Funding

The wider context of the Autonomic Systems research is supported at the University of Ulster by the Computer Science Research Institute (CSRI) and the Centre for Software Process Technologies (CSPT), funded by Invest NI through the Centres of Excellence Programme, under the EU Peace II initiative.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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