Abstract
The success of an enterprise network (EN), serving business applications, relays on its sustainability against the dynamic business environment. The enterprise network sustainability can be achieved through its resilience to disorders, such as the failures and operational overload. We view EN resilience as its ability to endure and manage the uncertain workload, as the evolution of business applications flooding EN with unprecedented volume of data. In this paper, we have proposed an integrated framework to improvise the ability of EN to manage against varying workloads through the mimicking of resilient behavior of bio-organisms against the environmental changes. We have formulated the resilience management problem as an optimization problem with an objective function to maximize EN resilience, where the proposed framework unifies the existing EN clusters into one; and redesigns EN infrastructure within ant colony optimization (ACO). The simulation results have showed that the resilience improved by 20 %.
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Habib, S., Marimuthu, P.N. (2016). Managing Enterprise Network Resilience Through the Mimicking of Bio-Organisms. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-319-31232-3_85
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DOI: https://doi.org/10.1007/978-3-319-31232-3_85
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