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Issue No. 01 - January-June (2013 vol. 1)
ISSN: 2168-7161
pp: 1
Kashif Bilal , Dept. of Electr. & Comput. Eng., North Dakota State Univ., Fargo, ND, USA
Marc Manzano , BCDS Lab. (204-205), Univ. of Girona, Girona, Spain
Samee U. Khan , Dept. of Electr. & Comput. Eng., North Dakota State Univ., Fargo, ND, USA
Eusebi Calle , BCDS Lab. (204-205), Univ. of Girona, Girona, Spain
Keqin Li , Dept. of Comput. Sci., State Univ. of New York, New Paltz, NY, USA
Albert Y. Zomaya , Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW, Australia
Data centers being an architectural and functional block of cloud computing are integral to the Information and Communication Technology (ICT) sector. Cloud computing is rigorously utilized by various domains, such as agriculture, nuclear science, smart grids, healthcare, and search engines for research, data storage, and analysis. A Data Center Network (DCN) constitutes the communicational backbone of a data center, ascertaining the performance boundaries for cloud infrastructure. The DCN needs to be robust to failures and uncertainties to deliver the required Quality of Service (QoS) level and satisfy Service Level Agreement (SLA). In this paper, we analyze robustness of the state-of-the-art DCNs. Our major contributions are: (a) we present multi-layered graph modeling of various DCNs; (b) we study the classical robustness metrics considering various failure scenarios to perform a comparative analysis; (c) we present the inadequacy of the classical network robustness metrics to appropriately evaluate the DCN robustness; and (d) we propose new procedures to quantify the DCN robustness. Currently, there is no detailed study available centering the DCN robustness. Therefore, we believe that this study will lay a firm foundation for the future DCN robustness research.
Data processing, Information technology, Computer architecture, Quality of service, Servers, Network topology, Cloud computing

K. Bilal, M. Manzano, S. U. Khan, E. Calle, Keqin Li and A. Y. Zomaya, "On the Characterization of the Structural Robustness of Data Center Networks," in IEEE Transactions on Cloud Computing, vol. 1, no. 1, pp. 1, 2013.
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