Performance enhancement and content adaptation in pervasive networking systems.
Published: 2004
Language: eng
Number of pages: 192
Description: Pervasive computing implies that information permeates through networks to seamlessly reach a user with the highest degree of embeddedness, performance, and reliability. In this thesis, the networks with an end-device are considered as a virtual machine. An associated active pervasive network infrastructure (APNI) framework is proposed to deploy programmable agents at the periphery of the networks to virtualize the interactions between end-users and programmable network elements. Specifically, this work develops: (1) content adaptation for expedited deliveries and cognitive preferences in different user environments, and (2) network-layer reliability to offer adaptations over different network conditions, availability of resources, reliability criteria and user preferences. Data and program slicings are designed to enable concurrent deliveries and computations in APNI. The throughput and delay performances are demonstrated to improve consequently. A prototype has been built and the design framework has been validated through experiments from the user perspective of adaptiveness, reliability, and performance.
Notes: Adviser: Eddie Law.

Thesis (M.A.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 42-06, page: 2246.

MICR copy on microfiche (3 microfiches).