Autonomic Computing Drives Innovation of Energy Smart Grids | Zendy

Melvin Greer | Zendy; Manuel Rodríguez-Martínez | Zendy

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Autonomic Computing Drives Innovation of Energy Smart Grids

Author(s) -

Melvin Greer,

Manuel Rodríguez-Martínez

Publication year - 2012

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2012.09.077

Subject(s) - computer science , autonomic computing , smart grid , grid , distributed computing , energy (signal processing) , risk analysis (engineering) , computer security , cloud computing , electrical engineering , operating system , engineering , medicine , statistics , geometry , mathematics

Many technical challenges exist in the development of fully autonomic computing systems. Autonomic systems represent an approach to managing complexity by making individual system components self-managing. Such systems manage themselves by monitoring their operation, detecting any anomalies and then adjusting accordingly to achieve normal operation. The complexities of the future smart grid will require advanced autonomics to allow the grid to adapt to the dynamic needs to energy providers and consumers

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