Introducing Weighted Nodes to Evaluate the Cloud Computing Topology


Typical data centers house several powerful ICT (Information and Communication Technology) equipment such as servers, storage devices and network equipment that are high-energy consuming. The nature of these high-energy consuming equipment is mostly accountable for the very large quantities of emissions which are harmful and unfriendly to the environment. The costs associated with energy consumption in data centers increases as the need for more computational resources increases, so also the appalling effect of CO2 (Carbon IV Oxide) emissions on the environment from the constituent ICT facilities-Servers, Cooling systems, Telecommunication systems, Printers, Local Area Network etc. Energy related costs would traditionally account for about 42% (forty-two per cent) of the total costs of running a typical data center. There is a need to have a good balance between optimization of energy budgets in any data center and fulfillment of the Service Level Agreements (SLAs), as this ensures continuity/profitability of business and customer’s satisfaction. A greener computing from what used to be would not only save/sustain the environment but would also optimize energy and by implication saves costs. This paper addresses the challenges of sustainable (or green computing) in the cloud and proffer appropriate, plausible and possible solutions. The idle and uptime of a node and the traffic on its links (edges) has been a concern for the cloud operators because as the strength and weights of the links to the nodes (data centres) increases more energy are also being consumed by and large. It is hereby proposed that the knowledge of centrality can achieve the aim of energy sustainability and efficiency therefore enabling efficient allocation of energy resources to the right path. Mixed-Mean centrality as a new measure of the importance of a node in a graph is introduced, based on the generalized degree centrality. The mixed-mean centrality reflects not only the strengths (weights) and numbers of edges for degree centrality but it combines these features by also applying the closeness centrality measures while it goes further to include the weights of the nodes in the consideration for centrality measures. We illustrate the benefits of this new measure by applying it to cloud computing, which is typically a complex system. Network structure analysis is important in characterizing such complex systems.

Share and Cite:

G. A. A. Akanmu, F. Z. Wang and H. Chen, "Introducing Weighted Nodes to Evaluate the Cloud Computing Topology," Journal of Software Engineering and Applications, Vol. 5 No. 11A, 2012, pp. 961-969. doi: 10.4236/jsea.2012.531111.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] S. Klaus, “Data Center Energy: Past, Present and Future,” 30 September 2012.*2_*1_*1_*1_*1_*1
[2] L. C. Freeman, “Centrality in Social Networks: Conceptual Clarification,” Social Networks, Vol. 1, pp. 215-239. 6 June 2012.
[3] T. Opsahl, F. Agneessens and J. Skvoretz, “Node Centrality in Weighted Networks: Generalizing Degree Shortest Paths,” Social Networks, Vol. 32, 2010, pp. 245-251. doi:10.1016/j.socnet.2010.03.006
[4] H. Zhuge and J. Zhang, “Topological Centrality and It’s e-Science Applications,” Wiley Interscience, New York, 2010.
[5] M. E. J. Newman, “The Mathematics of Networks,” Center for the Study of Complex Systems, University of michigan, Ann Arbor, 6 June 2012.
[6] S. C. Freeman and L. C. Freeman, “The Networkers Network: A study of the Impact of a New Communications Medium on Sociometric Structure,” Social Science Research Reports S46, University of California, Irvine, 1979.
[7] Google, “Efficiency How We Do It,” 1 October 2012.
[8] V. Avela, “Guidance for Calculation of Efficiency (PUE) in Data Centres. White Paper 158,” Schneider Electric’s Data Centre Science, 2011.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.