Policy mechanism and evaluation algorithm for connectivity management adaptability

Autor: Jukka Riekki, Jaakko Sauvola, Marko Jurmu, Jun-Zhao Sun
Rok vydání: 2007
Předmět:
Zdroj: International Journal of Pervasive Computing and Communications. 3:57-81
ISSN: 1742-7371
DOI: 10.1108/17427370710841927
Popis: Purpose – An infrastructure based on multiple heterogeneous access networks is one of the leading enablers for the emerging paradigm of pervasive computing. The optimal management of diverse networking resources is a challenging problem. This paper aims to present a context‐aware policy mechanism with related end‐to‐end (E2E) evaluation algorithm for adaptive connectivity management in multi‐access wireless networks.Design/methodology/approach – A policy is used to express the criteria for adaptive selection of the best local and remote network interfaces. The best connection can then be used for the establishment of a channel as well as for the maintenance of on‐going data transmission. Rich context information is considered in the policy representation with respect to user profile and preference, application characteristics, device capability, and network quality of service conditions. The decision of the best access networks to be used is made on the basis of an E2E evaluation process. The decision can...
Databáze: OpenAIRE