Year: 2013
Type: dissertation
Abstract: Communication systems have continually played a major role in our lives. In particular\nin recent years, the Internet has transformed the way people interact and\ncommunicate, which has led to increased number of services and functionalities.\nHowever, with the increase in changes in network environments, more adaptive,\n\nexible, efficient and scalable techniques are needed to enhance the operation of\nthe network, and at the same time minimise human intervention. The communication\nnetwork management community have addressed this problem, through the\nnotion of \\autonomic network management". One particular approach of addressing\nautonomic mechanisms is by borrowing mechanisms and processes that are\nexhibited by biological systems (e.g. reaction to changes in their environments).\nThis thesis has investigated new bio-inspired solutions that are able to address\nthe challenges of the Future Internet. The thesis will present new bio-inspired\nmechanisms to provide (i) efficient routing, (ii) energy-aware networking, (iii) adaptive\nbandwidth allocation and (iv) support of multiple service providers. In the\ncase of (i), the bio-inspired routing protocol is scalable and supports complex and\nhighly dynamic services environments efficiently and robustly (e.g. dynamic traf-\nfic, large scale networks). The bio-inspired energy awareness in (ii) is maximising\nthe benefits of the solution in (i) to reduce dramatically the energy consumption\nof infrastructure networks without disrupting the delivery of services. In the case\nof (iii), a bio-inspired bandwidth allocation mechanism adapts to new traffic conditions\nin order to maintain the quality of delivery for prioritised traffic in the\nevent of bandwidth starvation. Lastly in (iv), the new architecture of the Internet,\niii\niv\nrequiring efficient and fair resource allocation between multiple service providers\nsharing common physical resources, will be provided by an adaptable and \nexible\nbio-inspired model.
Author: Mineraud, Julien
Institution: Waterford Institute of Technology
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders: National Research Foundation, Higher Education Authority, Science Foundation Ireland, National Research Foundation of Korea, Ministry of Education, Science and Technology, Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche, Information-Technology Promotion Agency
OpenAlex ID: W142033391