Evaluating Management Decisions via Delegation
نویسندگان
چکیده
A central problem of network management is compressing vast amounts of real-time operational data to accomplish management decisions. A health function provides such eecient compression by combining managed data linearly into a single index of network state. This paper describes a computational theory of network behaviors, their observations, and threshold-decisions via health functions. The model is used to examine feasibility of various methods for computing health functions. Health functions cannot be included as part of a static MIB design, as they may vary from site to site and over time. Nor can they be usefully computed at centralized management platforms , since this can result in excessive polling rates, lead to errors due to perturbation introduced by polling, and miss the very goal of compressing data maximally at its source. Instead, we propose the use of the management by delegation paradigm to support exible and effective evaluation of health functions and linear threshold decisions at devices.
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