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Community-based complex cloud data center

Author

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  • Filiposka, Sonja
  • Juiz, Carlos

Abstract

The communication infrastructure is a critical component of a large-scale cloud data center. It needs to provide the best performance available while keeping overprovisioning and, lately even more important, power consumption, to the minimum. Aiming to provide a unified solution that will have high performance together with economical benefits and power consumption reduction, in this paper, we propose a new community-based scale-free model for data center network architecture. By comparing the proposed model to other similar solutions we show that the performance of the network in terms of average path length, bandwidth and resilience is similar to the state-of-the-art models. In our presented detailed analysis of the model properties, our focus is set on exploring how heterogeneity in terms of different type of network equipment influences the basic network properties. We also present solutions and network metrics that can be used in conjunction to the introduced community structure in order to additionally increase the performance.

Suggested Citation

  • Filiposka, Sonja & Juiz, Carlos, 2015. "Community-based complex cloud data center," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 356-372.
    • Handle: RePEc:eee:phsmap:v:419:y:2015:i:c:p:356-372
    DOI: 10.1016/j.physa.2014.10.017
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    1. Réka Albert & Hawoong Jeong & Albert-László Barabási, 1999. "Diameter of the World-Wide Web," Nature, Nature, vol. 401(6749), pages 130-131, September.
    2. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    3. Chen, Duanbing & Lü, Linyuan & Shang, Ming-Sheng & Zhang, Yi-Cheng & Zhou, Tao, 2012. "Identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1777-1787.
    4. Šubelj, Lovro & Bajec, Marko, 2014. "Group detection in complex networks: An algorithm and comparison of the state of the art," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 397(C), pages 144-156.
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