Abstract
In this paper, we use a network-based cloud environment, the software keyboard is built into the smart mobile devices will be customized to provide the user interface. Customized user interface using a network-based interface for the cloud as the optimized interface with a variety of individual application environments, user will have a desired interface for their usage. If the user requests the Node.js and JQuery-based interface to provide an interface, it will provide an interface quicker. The server processes the data quickly and builds server data. There has an algorithm which was developed to return the existing MongoDB. We will use M/M/1, M/M/C Queueing Model for using performance analysis and testing existing MongoDB Server which applied the algorithm to provide and manage user interface effectively. In addition, We propose SLAN to share data between among users, and test this method.
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References
Seth, J. K. (2013). Chandra S (2013) A novel design to increase trust in cloud IaaS model. International Journal of Computer Science Issues (IJCSI), 10(4), 329–336.
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., et al. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58.
Ostermann, S., Iosup, A., Yigitbasi, N., Prodan, R., Fahringer, T., & Epema, D. (2010). A performance analysis of EC2 cloud computing services for scientific computing, Cloud Computing (pp. 115–131). Heidelberg: Springer.
Sharma, Yashvardhan, Verma, Saurabh, & Kumar, Sumit. (2013). A context-based performance enhancement algorithm for columnar storage in MapReduce with Hive. International Journal of Cloud Applications and Computing (IJCAC), 3(4), 38–50.
Dede, E., Govindaraju, M., Gunter, D., Canon, RS & Ramakrishnan, L. (2013). Performance evaluation of a mongodb and hadoop platform for scientific data analysis. In Proceedings of the 4th ACM workshop on Scientific cloud computing, (pp.13–20). ACM, .
Liu, Y., & Whitt, W. (2012). A many-server fluid limit for the Gt/GI/st + GI queueing model experiencing periods of overloading. Operations Research Letters, 40(5), 307–312.
Oliveira, J., Guerreiro, T., Nicolau, H., Jorge, J., & Goncalves, D. (2011). BrailleType: Unleashing braille over touch screen mobile phones. In Human-Computer Interaction? INTERACT (vol. 6946, pp. 100–107). Berlin Heidelberg: Springer.
Cheng, L-P., Liang, H-S., Wu C-Y., & Chen, M. Y. (2013). iGrasp: Grasp-based adaptive keyboard for mobile devices. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 3037–3046), ACM.
Wettinger, J., Andrikopoulos, V., Strauch S., & Leymann, F. (2013). Enabling dynamic deployment of cloud applications using a modular and extensible PaaS environment. In Cloud computing (CLOUD), 2013 IEEE sixth international conference on. IEEE (pp. 478–485).
Colombo-Mendoza, L. O., Alor-Hernandez, G., Rodriguez-gonzalez, A. & Valencia-garcia, R. (2014). MobiCloUP!: A PaaS for cloud services-based mobile applications. Automated Software Engineering, 21(3), 391–437.
Anthes, Gary. (2012). HTML5 leads a web revolution. Communications of the ACM, 55(7), 16–17.
Akhawe, D., et al. (2013). Data-confined html5 applications. In Computer security? ESORICS 2013 (vol. 8134, pp. 736–754). Heidelberg: Springer.
Zhao, S. M., Xia, X. L., & Le, J. J. (2013). A real-time web application solution based on Node.js and WebSocket. Advanced Materials Research, 816, 1111–1115.
Zhu, Y. (2012). Introducing google chart tools and google maps API in data visualization courses. IEEE Computer Graphics and Applications, 6, 6–9.
Ivan, C., & Popa, R. (2014). Cloud based cross platform mobile applications building and integrating cloud services with mobile client applications. Advances in Computer Science: An International Journal, 3(2), 69–77.
Systa, K., Mikkonen, T. & Jarvenpaa, L. (2014). HTML5 agents: Mobile agents for the web. Web. In Information systems and technologies (vol. 189, pp. 53–67). Heidelberg: Springer .
Holzinger, A., Treitler, P. & Slany, W. (2012). Making apps useable on multiple different mobile platforms: On interoperability for business application development on smartphones. In Multidisciplinary research and practice for information systems (Vol. 7465, pp. 176–189). Heidelberg: Springer.
Workman, R., & Christ, T. (2013). Mobile phone course applications using jQuery mobile. Society for Information Technology & Teacher Education International Conference, 2013(1), 3814–3817.
Gyrodi, C., Gyrodi, R., Pecherle, G., Olah, A. (2015). A comparative study: MongoDB vs. MySQL. In Engineering of modern electric systems (EMES), 2015 13th international conference on. IEEE (pp. 1–6).
Chanda, S., & Foggon, D. (2013). Introducing non-relational databases. In Beginning ASP. NET 4.5 Databases (pp. 49–59). Apress .
Tian, X., Huang, B., & Wu, M. (2014). A transparent middleware for encrypting data in MongoDB. In Electronics, computer and applications, 2014 IEEE Workshop on. IEEE (pp. 906–909).
Yang, K.-K., Low, J. M. W., & Cayirli, T. (2014). Modeling queues with simulation versus M/M/C models. Journal of Service Science Research, 6(1), 173–192.
Boicea, A., Radulescu, F., & Agapin, L. I. (2012). MongoDB vs oracle–database comparison. In 2012 Third International Conference on Emerging Intelligent Data and Web Technologies. IEEE.
Acknowledgments
This research was partially supported by the IT R&D program of MSIP (Ministry of Science, ICT and Future Planning) / NIPA (National IT Industry Promotion Agency) [12221-14-1001, Next Generation Network Computing Platform Testbed] and also supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2013740). Furthermore, this work was also supported by ‘The Cross-Ministry Giga KOREA Project' grant from the Ministry of Science, ICT and Future Planning, Korea.
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Park, S., Ryu, H., Kim, K.J. et al. Cloud System for User-Customized Mobile Interface Sharing in Wireless Environment. Wireless Pers Commun 94, 149–164 (2017). https://doi.org/10.1007/s11277-015-3161-0
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DOI: https://doi.org/10.1007/s11277-015-3161-0