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 language | English |
|---|---|
| Title of host publication | Proceedings of the 12th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS |
| Publisher | IEEE |
| DOIs | |
| Publication status | Published (in print/issue) - Jul 2007 |
| Event | IEEE International Conference on Engineering Complex Computer Systems - Auckland, New Zealand Duration: 11 Jul 2007 → 14 Jul 2007 Conference number: 12 https://ieeexplore.ieee.org/xpl/conhome/4276289/proceeding |
Conference
| Conference | IEEE International Conference on Engineering Complex Computer Systems |
|---|---|
| Abbreviated title | ICECCS |
| Country/Territory | New Zealand |
| City | Auckland |
| Period | 11/07/07 → 14/07/07 |
| 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)
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SDG 9 Industry, Innovation, and Infrastructure
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