Time analysis of the performance of Windows 10 and Windows 8.1 based on mobile application
Jacek Chmiel
chmiel.jacek1990@gmail.comInstitute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland (Poland)
Maria Skublewska-Paszkowska
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland (Poland)
Abstract
This article presents time analysis of performance of Windows 10 and Windows 8.1. Presented research was mainly focused on performance comparison of mobile device system elements which are relevant from end user point of view like main processor, RAM and mass storage throughput, image generation speed by the graphics processor and access time to devices. In order to measure the performance of the above elements a mobile benchmark application was created. The hypotheses set in the article have been verified and partially confirmed.
Keywords:
performance; time analysis; mobile systems; Windows 10; Windows 8.1References
[1] Lilja D.J.: Measurning Computer Performance: A Practitioner's guide, Cambridge University Press, 2005.
[2] Allen A.O.: Computer Performance Analysis with Mathematica. Academic Press, 1994.
[3] Jain R.K.: Art of Computer Systems Performance Analysis Techniques For Experimental Design Measurements Simulation And Modeling. Wiley, 1991.
[4] Hoare C.A.R.: Monitors: An Operating System Structuring Concept. Communication of the ACM, 10 (1974), 549-557.
[5] Sung Y., Chang K., Liu T.: The effects of integrating mobile device with teaching and learning on students’ learning performance: a meta-analysis and research synthesis, Computer & Education, 3 (2016), 252–275.
[6] Shahabi S., Ghazvini M., Bakhtiarian M.: A modified algorithm to improve security and performance of AODV protocol against black hole attack. Springer Wireless Network, 5 (2015), 1505-1511.
[7] V. D. Blondel, A. Decuyper, G. Krings.: A survey of results on mobile phone datasets analysis, EPJ Data Science, 1 (2015), 1–55.
[8] Mazomenos E.B., Biswas D., Acharyya A., Chen T., Maharatna K., Rosengarten J., Morgan J., Curzen N.: A LowComplexity ECG Feature Extraction Algorithm for Mobile Healthcare Applications, IEEE Journal of Biomedical and Health Informatics, 2 (2013), 459-469.
[9] Latif M., Lakhrissi Y., Nfaoui E.H., Es-Sbai, N.: Cross platform approach for mobile application development: A survey. IT4OD (2016),
http://dx.doi.org/10.1109/IT4OD.2016.7479278.
[10] Shaikh A.S, Inamdar M.U.: Performance Analysis: Ubuntu Touch v/s Android OS. International Journal of Science, Engineering and Technology Research, 3 (2014), 1795-1800.
[11] Park S., Park Y., Choi J.: Performance Analysis of Embedded OS in ARM Platform, ICTC 2012
[12] https://blogs.windows.com/buildingapps/2014/09/05/introducing-win2d-gpu-accelerated-2d-graphics-programming-in-thewindows-runtime/#721RzUqREPKGhSRb.97, [27.02.2018]
[2] Allen A.O.: Computer Performance Analysis with Mathematica. Academic Press, 1994.
[3] Jain R.K.: Art of Computer Systems Performance Analysis Techniques For Experimental Design Measurements Simulation And Modeling. Wiley, 1991.
[4] Hoare C.A.R.: Monitors: An Operating System Structuring Concept. Communication of the ACM, 10 (1974), 549-557.
[5] Sung Y., Chang K., Liu T.: The effects of integrating mobile device with teaching and learning on students’ learning performance: a meta-analysis and research synthesis, Computer & Education, 3 (2016), 252–275.
[6] Shahabi S., Ghazvini M., Bakhtiarian M.: A modified algorithm to improve security and performance of AODV protocol against black hole attack. Springer Wireless Network, 5 (2015), 1505-1511.
[7] V. D. Blondel, A. Decuyper, G. Krings.: A survey of results on mobile phone datasets analysis, EPJ Data Science, 1 (2015), 1–55.
[8] Mazomenos E.B., Biswas D., Acharyya A., Chen T., Maharatna K., Rosengarten J., Morgan J., Curzen N.: A LowComplexity ECG Feature Extraction Algorithm for Mobile Healthcare Applications, IEEE Journal of Biomedical and Health Informatics, 2 (2013), 459-469.
[9] Latif M., Lakhrissi Y., Nfaoui E.H., Es-Sbai, N.: Cross platform approach for mobile application development: A survey. IT4OD (2016),
http://dx.doi.org/10.1109/IT4OD.2016.7479278.
[10] Shaikh A.S, Inamdar M.U.: Performance Analysis: Ubuntu Touch v/s Android OS. International Journal of Science, Engineering and Technology Research, 3 (2014), 1795-1800.
[11] Park S., Park Y., Choi J.: Performance Analysis of Embedded OS in ARM Platform, ICTC 2012
[12] https://blogs.windows.com/buildingapps/2014/09/05/introducing-win2d-gpu-accelerated-2d-graphics-programming-in-thewindows-runtime/#721RzUqREPKGhSRb.97, [27.02.2018]
Chmiel, J., & Skublewska-Paszkowska, M. (2018). Time analysis of the performance of Windows 10 and Windows 8.1 based on mobile application. Journal of Computer Sciences Institute, 8, 241–246. https://doi.org/10.35784/jcsi.689
Authors
Jacek Chmielchmiel.jacek1990@gmail.com
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland Poland
Authors
Maria Skublewska-PaszkowskaInstitute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland Poland
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