Abstract
Novel techniques are provided for an application built on top of DNAC to predict network load on an access point (AP). These techniques determine a time interval after which each predicted dimension is not accurate, which is reflective of the real load. This allows the system to predict load accurately, without the burden of having to observe all neighboring access points, a computationally expensive process, while being able to determine when new weights and new predictions need to be generated. The result is a computationally-light yet accurate load prediction that can be applied to key Aps (e.g., lobby APs, or other APs), where the load is likely to change rapidly.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Henry, Jerome; Pazhyannur, Rajesh; and Barton, Robert, "APPLICATION OF DNA-C: A METHOD FOR SHORT TERM LOAD PREDICTION AND LOAD BALANCING USING TECHNIQUES FROM CHAOS THEORY", Technical Disclosure Commons, (June 01, 2018)
https://www.tdcommons.org/dpubs_series/1218