Recent research, such as the Active Virtual Network Management Prediction (AVNMP) system, aims to use simulation models running ahead of real time to predict resource demand among network nodes. If accurate, such predictions can be used to allocate network capacity and to estimate quality of service. Future deployment of active-network technology promises to complicate prediction algorithms because each active message can convey its own processing logic, which introduces variable demand for processor (CPU) cycles. This paper describes a means to augment AVNMP, which predicts message load among active-network nodes, with adaptive models that can predict the CPU time required for each active message at any active -network node. Typical CPU models cannot adapt to heterogeneity among nodes. This paper shows improvement in AVNMP performance when adaptive CPU models replace more traditional non-adaptive CPU models. Incorporating adaptive CPU models can enable AVNMP to predict active-network resource usage father into the future, and lowers prediction overhead.
Proceedings Title: Military Communications Conference | | MILCOM 2001 Proceedings: Communications for Network-Centric Operations, Creating the Information Force | IEEE
Conference Dates: October 28-31, 2001
Conference Location: -1
Conference Title: MILCOM
Pub Type: Conferences
active networks, heterogenous networks, network simulation, performance prediction