Abstract
This paper introduces a novel algorithm, the Active Virtual Network
Management Prediction (AVNMP), for predictive network management.
It explains how the AVNMP facilitates the management of an active
network by allowing future predicted state information within an
active network to be available to network management algorithms.
This is accomplished by coupling ideas from optimistic discrete
event simulation with active networking. The optimistic discrete
event simulation method used is a form of self-adjusting Time Warp.
It is self-adjusting because the system adjusts for predictions
which are inaccurate beyond a given tolerance. The concept of a
streptichron and autoanaplasis are introduced as mechanisms which
take advantage of the enhanced flexibility and intelligence of active
packets. Finally, it is demonstrated that the AVNMP is a feasible
concept.
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