Abstract
Green aspects of data centers (DCs) which provide the appropriate hosting services and data storage are considered. Various approaches to transmission control of integrated data streams (IDS), which are the result of traffic aggregation, being transmitted in a DC related to Big Data processing, are analyzed. It is proposed a complex, which includes several models and a method; it uses traffic samples of several sessions as input data to perform short-term traffic prediction. For the case of elastic traffic, the application of the developed complex will reduce the DC’s resources usage, which are required to process data, down by 3%. As a result of the resources reallocation of the DC on the basis of the short-term prediction, the gain on the effectiveness of their use with such type of traffic will be 4–8%. Application of the proposed complex allows using the resources of the DC in more efficient way (reduces transmission time and, correspondingly, increases energy efficiency of the whole system).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds.): Green IT engineering: concepts, models, complex systems architectures. Studies in Systems, Decision and Control, vol. 74. Springer (2017). https://doi.org/10.1007/978-3-319-44162-7
Chen, A.J.W., Boudrean, M.-C., Watson, R.T.: Information systems and ecological sustainability. J. Syst. Inf. Technol. 10(3), 186–201 (2008)
The Software Improvement Group measures software energy use. The Green IT Review (2017). Last accessed 01 Mar 2017. Available at: http://www.seflab.com/news
Kuchuk G.A., Kovalenko A.A., Kharchenko V., Shamraev A.: Resource-oriented approaches to implementation of traffic control technologies in safety-critical I&C systems. In: Green IT Engineering: Components, Networks and Systems Implementation, Springer, pp. 313–338 (2017). https://doi.org/10.1007/978-3-319-55595-9_15
Michele, R., Raffaella, V., Michele, Z.: Accurate analysis of TCP on channels with memory and finite round-trip delay. IEEE Trans. Wirel. Commun. 3(2), 627–640 (2004)
De Ghein, L.: MPLS fundamentals, p. 672. Cisco Press, USA p (2006)
D’Apice, C., Manzo, R., Likhanov, N., Salerno, S.: Network traffic modelling and packet loss probability approximation: stability problems for stochastic models. J. Math. Sci. 132(5), 590–601 (2006)
Mozhaev, O., Kuchuk, H., Kuchuk, N., Mozhaev, M., Lohvynenko, M.: Multiservice network security metric. In 2nd International Conference on Advanced Information and Communication Technologies (AICT): Proceedings of International Conference, Lviv, Ukraine, pp. 133–136 (2017), 4–7 July 2017. https://doi.org/10.1109/aiact.2017.8020083
Kurose, J., Ross, K.: Computer networking: a top–down approach, 7th ed., Harlow: Pearson, 864 p. (2017)
Kuchuk, G.A., Akimova, Y.A., Klimenko, L.A.: Method of optimal allocation of relational tables. Eng. Simul. 17(5), 681–689 (2010)
Kuchuk G.A., Kovalenko A.A., Mozhaev A.A.: An approach to development of complex metric for multiservice network security assessment. In Proceedings of International Conference on Statistical Methods of Signal and Data Processing (SMSDP-2010): 13–14 Oct 2010, Kiev: NAU, RED, IEEE Ukraine section joint SP, pp. 158–160 (2010)
Alaa, Z., Doulat, A.S., Khamayseh, Y.M.: Khamayseh al-howaide: performance evaluation of different scheduling algorithms in WiMax. IJCSEA Int. J. Comput. Sci. Eng. Appl. 1(5), 81–94 (2011)
Teixeira, V., Guardieiro, A.: A new and efficient adaptive scheduling packets for the uplink traffic in WiMAX networks. EURASIP J. Wirel. Commun. Netw. 2011(1), 112–123 (2011)
Annadurai, C.: Review of packet scheduling algorithms in mobile ad hoc networks. Int. J. Comput. Appl. 15(1), 7–10 (2011)
Jandaeng, C., Suntiamontut, W., Elz, N.: Review PSA: the packet scheduling algorithm for wireless sensor networks. GRAPH-HOC Int. J. Appl. Graph Theory Wirel. Ad Hoc Netw. Sensor Netw. 3(3), 1–12 (2011)
Karasaridis, A., Hatzinakos, D.: Network Heavy Traffic Modeling Using a-stable Self-Similar Process. IEEE Trans. Commun. 49(7), 1203–1214 (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kuchuk, G., Kovalenko, A., Komari, I.E., Svyrydov, A., Kharchenko, V. (2019). Improving Big Data Centers Energy Efficiency: Traffic Based Model and Method. In: Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds) Green IT Engineering: Social, Business and Industrial Applications. Studies in Systems, Decision and Control, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-030-00253-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-00253-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00252-7
Online ISBN: 978-3-030-00253-4
eBook Packages: EngineeringEngineering (R0)