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    Nature inspired self organization for Adhoc Grids

    Abdullah, T. and Anjum, A. and Bessis, N. and Sotiriadis, Stelios and Bertels, K. (2013) Nature inspired self organization for Adhoc Grids. In: UNSPECIFIED (ed.) 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA). IEEE, pp. 682-689. ISBN 9781467355506.

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    Abstract

    Ant Colony Optimization (ACO) and other similar nature inspired mechanisms like artificial neural networks, swarm intelligence and evolutionary algorithms are based on naturally existing Complex Adaptive Systems (CAS). Human immune system, sand dune ripples, and ant foraging are some examples of the naturally existing CAS. Participating agents in these systems interact according to simple local rules which result in complex behavior and self-organization at system level. Adhoc grids are dynamic in nature and participating nodes show intermittent and volatile participation. Resource availability fluctuates over time inadhoc grids and results in a new adhoc grid state. These changes require adoption of the adhoc grid to anew state by applying some self organizing mechanism. In this paper, we present nature-inspired (ACO), micro-economic based mechanisms for infrastructure level self-organization in adhoc grids. These mechanisms help in achieving a scalable, dynamic and a self-organizing adhoc grid infrastructure. These mechanisms are evaluated with varying workloads in different network conditions. Study of these mechanisms helped in understanding the effect of ACO based self-organization mechanism on the infrastructural spectrum, ranging from completely centralized to fully decentralized.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): ad hoc networks, adaptive systems, ant colony optimisation, grid computing, ACO, ad hoc grid state, ant colony optimization, ant foraging, artificial neural networks, complex adaptive systems, evolutionary algorithm, human immune system, infrastructural spectrum, microeconomic based mechanism, nature inspired mechanism, nature inspired self organization, resource availability, sand dune ripples, self organizing ad hoc grid infrastructure, self organizing mechanism, swarm intelligence, system level, volatile participation, Availability, Dynamic scheduling, Heuristic algorithms, Load management, Organizations, Pricing, Resource management, Adhoc Grid, Ant Colony Optimzation, Nature Inspired, Self Organization
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 05 Jul 2018 06:17
    Last Modified: 30 Jul 2019 12:46
    URI: http://eprints.bbk.ac.uk/id/eprint/21829

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