Autonomic Computing (AC), a self-managing systems initiative based on the biological metaphor of the autonomic nervous system, is increasingly gaining momentum as the way forward in designing reliable systems. Agent technologies have been identiiied as a key enabler for engineering autonomicity in systems, both in terms of retrofitting autonomicity into legacy systems and designing new systems. The AC initiative provides an OpPortMity to consider other biological systems and principles m seeking new design strategies. This paper reports on one such investigation; utilizing the upopfosis metaphor of biological systems to provide a dynamic health indicator signal between autonomic agents.
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