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We report on experiments exploring the interplay between the topology of thecomplex network of dependent components in a large-scale data-centre, and therobustness and scaling properties of that data-centre. In a previous paper [1]we used the SPECI large-scale data-centre simulator [2] to compare therobustness and scaling characteristics of data-centres whose dependentcomponents are connected via Strogatz-Watts small-world (SW) networks [3],versus those organized as Barabasi-Albert scale-free (SF) networks [4], andfound significant differences. In this paper, we present results from using theKlemm-Eguiliz (KE) construction method [5] to generate complex networktopologies for data-centre component dependencies. The KE model has a controlparameter {\mu}\in[0,1]\inR that determines whether the networks generated areSW (0<{\mu}<<1) or SF ({\mu}=1) or a "hybrid" network topology part-way betweenSW and SF (0<{\mu}<1). We find that the best scores for system-levelperformance metrics of the simulated data-centres are given by "hybrid" valuesof {\mu} significantly different from pure-SW or pure-SF.

Hybrid complex network topologies are preferred for component-subscription in large-scale data-centres