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Predicting Resource Demand in Heterogeneous Active Networks

Published

Author(s)

V Galtier, Kevin L. Mills, Y Carlinet, S Bush, A Kulkarni

Abstract

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
Volume
2001
Issue
2
Conference Dates
October 28-31, 2001
Conference Location
, US
Conference Title
MILCOM

Keywords

active networks, heterogenous networks, network simulation, performance prediction

Citation

Galtier, V. , Mills, K. , Carlinet, Y. , Bush, S. and Kulkarni, A. (2001), Predicting Resource Demand in Heterogeneous Active Networks, Military Communications Conference | | MILCOM 2001 Proceedings: Communications for Network-Centric Operations, Creating the Information Force | IEEE, , US (Accessed April 22, 2024)
Created November 30, 2001, Updated October 12, 2021