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Tytuł artykułu

The Analysis of OpenStack Cloud Computing Platform: Features and Performance

Autorzy
Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Over the decades the rapid development of broadly defined computer technologies, both software and hardware is observed. Unfortunately, software solutions are regularly behind in comparison to the hardware. On the other hand, the modern systems are characterized by a high demand for computing resources and the need for customization for the end users. As a result, the traditional way of system construction is too expensive, inflexible and it doesn’t have high resources utilization. Present article focuses on the problem of effective use of available physical and virtual resources based on the OpenStack cloud computing platform. A number of conducted experiments allowed to evaluate computing resources utility and to analyze performance depending on the allocated resources. Additionally, the paper includes structural and functional analysis of the OpenStack cloud platform.
Rocznik
Tom
Strony
52--57
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
autor
  • Institute of Computer Science, Faculty of Physics, Mathematics and Computer Science, Tadeusz Kościuszko Cracow University of Technology, Warszawska st 24, 31-155 Cracow, Poland
Bibliografia
  • [1] D. Grzonka, M. Szczygieł, A. Bernasiewicz, A. Wilczyński, and M. Liszka, “Short analysis of implementation and resource utilization for the OpenStack cloud computing platform”, in Proc. 29th Eur. Conf. Modell. Simul. ECMS 2015, Albena (Varna), Bulgaria, 2015, pp. 608–614.
  • [2] E. W. Dijkstra, “The humble programmer”, Commun. ACM, vol. 15, no. 10, 1972.
  • [3] R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, “Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility”, Future Gener. Comp. Syst., vol. 25, no. 6, pp. 599–616, 2009.
  • [4] M. Armbrust et al., “A view of cloud computing”, Commun. ACM, vol. 53, no. 4, pp. 50–58, 2010.
  • [5] C. D. Graziano, “A performance analysis of Xen and KVM hypervisors for hosting the Xen Worlds Project”, Graduate Theses and Dissertations, Iowa State University, paper 12215, 2011.
  • [6] K. Scarfone, M. Souppaya, and P. Hoffman, “Guide to Security for Full Virtualization Technologies”, Recommendations of the National Institute of Standards and Technology, Special Publication 800-125, USA, 2011.
  • [7] M. Serafin, Wirtualizacja w praktyce (Virtualization in practice). Gliwice, Poland: Wydawnictwo Helion, 2012 (in Polish).
  • [8] G. J. Popek and R. P. Goldberg, “Formal requirements for virtualizable third generation architectures”, Commun. ACM, vol. 17, no. 7, pp. 412–421, 1974.
  • [9] M. Tajvidi, R. Ranjan, J. Kołodziej, and L. Wang, “Fuzzy cloud service selection framework”, in Proc. IEEE 3rd Int. Conf. Cloud Networking CloudNet 2014, Luxembourg, 2014, pp. 443–448.
  • [10] J. Sahoo, S. Mohapatra, and R. Lath, “Virtualization: A survey on concepts, taxonomy and associated security issues”, in Proc. 2nd Int. Conf. Comp. Netw. Technol. ICCNT 2010, Bangkok, Thailand, 2010, pp. 222–226.
  • [11] P. Mell and T. Grance, “The NIST Definition of Cloud Computing”, Recommendations of the National Institute of Standards and Technology, Special Publication 800-145, USA, 2011.
  • [12] Y. Mhedheb, F. Jrad, J. Tao, J. Zhao, J. Kołodziej, and A. Streit, “Load and Thermal-Aware VM Scheduling on the Cloud”, in Algorithms and Architectures for Parallel Processing, LNCS, vol. 8285, pp. 101–114. Springer, 2013.
  • [13] M. Marks and E. Niewiadomska-Szynkiewicz, “Hybrid CPU/GPU platform for high performance computing”, in Proc. 28th Eur. Conf. Model. Simul. ECMS 2014, Brescia, Italy, 2014, pp. 508–514.
  • [14] K. Smelcerz, “Recent developments in mobile cloud scheduling: State-of-the-art, challenges and perspectives”, J. Telecommun. Inform. Technol., no. 4, pp. 51–57, 2013.
  • [15] F. Gens, “Defining Cloud Services and ‘Cloud Computing”, IDE, 2008 [Online]. Available: http://blogs.idc.com/ie/?p=190
  • [16] OpenStack Website and Documentation [Online]. Available: http://www.openstack.org/
  • [17] Google Trends [Online]. Available: http://www.google.com/trends/
  • [18] O. Sefraoui, M. Aissaoui and M. Eleuldj, “OpenStack: Toward an Open-Source Solution for Cloud Computing”, Int. J. Comp. Appl., vol. 55, no. 3, pp. 38–42, 2012.
  • [19] K. Pepple, Deploying Openstack, 2nd ed. O’Reilly Media, USA, 2011.
  • [20] K. Jackson and C. Bunch, OpenStack Cloud Computing Cookbook, 2nd ed. Packt Publishing, UK, 2013.
  • [21] J. M. Cecilia, J. M. Garc´ıa, and M. Ujaldon, “The GPU on the Matrix-Matrix Multiply: Performance Study and Contributions”, in Parallel Computing: From Multicores and GPU’s to Petascale, B. Chapman et al., Eds. Advances in Parallel Computing, vol. 19, pp. 331–340, 2010.
  • [22] G. M. Amdahl, “Validity of the single processor approach to achieving large scale computing capabilities”, in Proc. Spring Joint Comp. Conf. AFIPS ’67 (Spring), Atlantic City, New Jersey, USA, 1967, pp. 483–485.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-488220e4-2a6b-4bf2-806c-d28b9851f5ae
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