Abstract
Sustainability is best observed within bio-organisms, where they undergo spatial and temporal evolution in their gene expressions to sustain. with constantly changing environment. Maintaining sustainability of Enterprise Networks (EN) is a challenging problem, especially in evolving its infrastructure and data system over time. In this paper, we have proposed a custom-made bio-inspired scheme to provide sustainable operations within EN considering the quality-of-service (QoS) to manage the traffic outbursts at the network infrastructure and at data depositories. Our scheme involves simulating EN with various workloads, formulating EN sustainability problem as an optimization problem, and utilizing of a family of bio-inspired algorithms, such as Genetic Algorithm (GA), Simulated Annealing (SA) and Tabu Search (TS), to search the sustainability space. Our computational experiments illustrate the feasibility of our scheme on a mid-size EN with 40% reduction in the traffic flow at the backbone and with 13.9% increasing in the storage system throughput.
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Habib, S.J., Marimuthu, P.N., Hussain, T.H. (2014). Enterprise Network Sustainability through Bio-inspired Scheme. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_24
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DOI: https://doi.org/10.1007/978-3-662-45049-9_24
Publisher Name: Springer, Berlin, Heidelberg
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