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A New Performance Assessment Modeling and Development of a Performance Assessment System for a Cloud Service

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Abstract

Cloud service is the next-generation core service in the field of green IT for maximizing the efficiency of IT resource operation and management, and energy consumption. Cloud service market size is expected to rapidly grow in the future due to easy usefulness, efficiency in operation and management, and relatively high industrial ripple effect by investment. Nevertheless, the market has not been considerably activated due to ICT users’ concerns on security and cost, loss of control, and uncertainty on reliability and performance when adopting and using cloud service. This study suggests a modeling for assessing the performance of cloud service and the performance assessment system based on the modeling in order to provide the standard for cloud service users to rely on and select cloud services which are suitable for their needs by providing objective and quantitative comparison and assessment results. In particular, this study defines the range for performance evaluation of the virtual machine (VM) targeting Infrastructure-as-a-Service among various cloud services, and deducts the items of performance assessment by analyzing requirements. The suggested system modulates and composes the target of performance assessment into five items of system performance, network performance, service performance, availability, and security performance. In addition, we aim to develop a system for performance assessment of VM based on those items, and to help use the system to manage the performance of cloud infrastructure services.

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References

  1. Kloch, C., Peterson, E. B., & Madsen, O. B. (2011). Cloud based infrastructure, the new business possibilities and barriers. Wireless Personal Communications, 58(1), 17–30.

    Article  Google Scholar 

  2. Hussain, R., Rezaeifar, Z., & Oh, H. (2015). A paradigm shift from vehicular ad hoc networks to VANET-based clouds. Wireless Personal Communications, 83(2), 1131–1158.

    Article  Google Scholar 

  3. Shim, Y. C. (2009). Technology trend of cloud computing and virtualization based management technology. KNOM Review, 12(1), 20–32.

    Google Scholar 

  4. Barraca, J. P., Matos, A., & Aguiar, R. L. (2011). User centric community clouds. Wireless Personal Communications, 58(1), 31–48.

    Article  Google Scholar 

  5. Lee, Y. H. (2013). Cloud platform service technology and market trend. Cloud Computing Support Center Technical Report, 2, 23–33.

    Google Scholar 

  6. Matuszak, G., & Lamoureux, T. (2013). Breaking through the cloud adoption barriers. KPMG Cloud Providers Survey, 1–28.

  7. Saura, K., Steve, V., & Rajkumar, B. (2013). A framework for ranking of cloud computing services. Future Generation Computer System, 29, 1012–1023.

    Article  Google Scholar 

  8. Wang, J., Liu, Z., Sun, Q., Zou, H., & Yang, F. (2014). Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing. Journal of Intelligent Manufacturing, 25(2), 283–291.

    Article  Google Scholar 

  9. Smiljkovikj, K., & Gavrilovska, L. (2014). SmartWine: Intelligent end-to-end cloud-based monitoring system. Wireless Personal Communications, 78(3), 1777–1788.

    Article  Google Scholar 

  10. Cho, D. K., & Park, S. (2013). Development and implementation of monitoring system for management of virtual resource based on cloud computing. Journal of The Korea Society of Computer and Information, 18(2), 41–47.

    Article  MathSciNet  Google Scholar 

  11. Lee, S. M. (2014). An analysis of cloud service quality by the IPA matrix: The perceived gab between the service provider and user (pp. 15–40). Seoul: Graduate School of Konkuk National University.

    Google Scholar 

  12. Ko, D. S. (2012). A study on development of the evaluation guideline for the storage performance. Journal of KONI, 14(2), 266–271.

    Google Scholar 

  13. RajaRaajeswari, S., Selvarani, R., & Raj, P. (2012). A new performance modeling and measurement method for service-oriented cloud applications (SOCAS). Communications in Computer and Information Science, 269, 412–424.

    Article  Google Scholar 

  14. He, Q. L., Li, Z. H., Wang, L. X., Wang, H. F., & Sun, J. (2013). Performance measurement technique of cloud storage system. Advanced Materials Research, 760, 1197.

    Article  Google Scholar 

  15. Alhamad, M., Dillon, T., Chang, E. (2000). A survey on SLA performance measurement in cloud computing. Lecture Notes in Computer Science, 7045, 469–477.

    Article  Google Scholar 

  16. Bautista, L., Abran, A., & April, A. (2012). Design of a performance measurement framework for cloud computing. Journal of Software Engineering and Applications, 5, 69–76.

    Article  Google Scholar 

  17. Xiong, Pengcheng. (2012). Dynamic monitoring, modeling and management of performance and resources for applications in the Cloud (pp. 12–35). Atlanta, GA: Georgia Institute of Technology Computer Science.

    Google Scholar 

  18. CSMIC. (2011). Service Measurement Index Version 1.0. Camegie Mellon University Silicon Valley Moffett Field, (pp. 1–8), CA, USA.

  19. Na, H. (2014). Design and implementation of performance measurement system for web service (pp. 8–22). Gwangju: Graduate School of Chonnam National University.

    Google Scholar 

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Authors and Affiliations

  1. Department of Management Engineering, Graduate School, Sangmyung University, 20, Honggimun 2-gil, Jongno-gu, Seoul, 110-743, South Korea

    Hangoo Jeon

  2. Department of Management Engineering, Sangmyung University, 31, Sangmyungdea-gil Dongnam-gu, Chonan-si, Chungcheongnam-do, 330-720, South Korea

    Kwang-Kyu Seo

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  1. Hangoo Jeon
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  2. Kwang-Kyu Seo
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Correspondence to Kwang-Kyu Seo.

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Jeon, H., Seo, KK. A New Performance Assessment Modeling and Development of a Performance Assessment System for a Cloud Service. Wireless Pers Commun 89, 795–818 (2016). https://doi.org/10.1007/s11277-015-3146-z

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  • DOI: https://doi.org/10.1007/s11277-015-3146-z

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