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Cost Optimization Technique and Resource Utilization of Web and Cloud Services

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Smart Intelligent Computing and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 104))

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Abstract

Use of web services is increasing rapidly and extensively in banking, e-commerce and other applications. Web-based applications are dynamically associated with high interaction in cloud-based web applications. Cloud computing is an internet computing that provides services such as Platform as Service (PaaS), Software as Service (SaaS), Infrastructure as Service (IaaS) that include computation, memory, networks, etc., by pay as you use service. Web services are rapidly expanded to cloud computing resources which are scalable, efficient resource utilization, improved performance, quality of services and optimized cost. We have discussed the related issues, proposed model, service layer agreement with the operational cost to web and cloud applications. In the future, the paper can be extended to implement various deployment models for minimizing cost and effective utilization of resources.

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References

  1. Kalil, M., Al-Dweik, A., Abu Sharkh, M.F., Shami, A., Refaey, A.: A framework for joint wireless network virtualization and cloud radio access networks for next generation wireless networks. In: IEEE Access, vol. 5, pp. 20814–20827 (2017)

    Article  Google Scholar 

  2. Oujani, A., Jain, R.: A Survey of Cloud Computing Simulations and Cloud Testing, pp. 1–8. https://www.cse.wustl.edu/~jain/cse567-13/ftp/cloud.pdf

  3. Shawish, A., Salama, M.: Cloud Computing: paradigms and technologies. In: Inter-cooperative Collective Intelligence: Techniques and Applications, pp. 39–674 (2013)

    Google Scholar 

  4. Banu, M.U., Saravanan, K.: Optimizing the cost for resource subscription policy in IaaS cloud. Int. J. Eng. Trends Technol. (IJETT) 6(5), 296–301 (2013)

    Google Scholar 

  5. Latha, N., Deepa, S.T.: Cost optimization in cloud services. Int. J. Comput. Appl. 106(5), 14–17(2014)

    Google Scholar 

  6. Prasad Kanu, R., Shabeera, T.P., Madhu Kumar, S.D.: Dynamic cluster configuration algorithm in mapreduce cloud. Int. J. Comput. Sci. Inf. Technol. 5(3), 4028–4033 (2014)

    Google Scholar 

  7. Tian, Y., Lin, C., CHen, Z., Wan, J., Peng, X.: Performance evaluation and dynamic optimization of speed scaling on web services in cloud computing. In: Tsinghua Science and Technology, IEEE, pp. 298–307 (2013)

    Article  Google Scholar 

  8. Gu, Y., Wang, D., Liu, C.: DR-cloud multi-cloud based disaster recovery service. Singhua Sci. Technol. 19(1), 13–23 (2014)

    Google Scholar 

  9. Lin, G., Zeng, D., Li, P., Guo, S.: Cost Minimization for big data processing in Geo distributed data centers. IEEE Trans. Emerg. Top. Comput. 2(3), 314–323 (2014)

    Article  Google Scholar 

  10. Lin, G., Zeng, D., Li, P., Guo, S.: Cost minimization for big data processing in geo-distributed data centers. IEEE Trans. Emerg. Top. Comput. 2(3), 314–323 (2014)

    Google Scholar 

  11. Zuo, L., Dong, S., Zhu, C., Hara, T.: A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing. IEEE 3, 2687–2699 (2015)

    Google Scholar 

  12. Zheng, W., Zhou, M., Wu, L., Xia, Y., Luo, X., Pang, S., Zhu, Q., Wu, Y.: Percentile performance estimation of unreliable IaaS clouds and their cost-optimal capacity decision. IEEE Access 5, 2808–2818 (2016)

    Article  Google Scholar 

  13. Qi, L., Yu, J., Zhou, Z.: An invocation cost optimization method for web services in cloud environment. Hindawi Sci. Program. 2017, 1–10 (2017)

    Article  Google Scholar 

  14. Vahid Dastjerdi, A., Buyya, R.: A taxonomy of QoS management and service selection methodologies for cloud computing, pp. 109–139 (2011)

    Google Scholar 

  15. Sahlin, J.P., Mazzuchi, T.: Optimizing QoSin distributed systems/cloud computing architectures. Int. J. Comput. Appl. 42(18), 14–20 (2012)

    Google Scholar 

  16. Hameed, A., Prakash Jayaraman, P., Zeadally, S., Vishnu, A.: A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems. Comput. pp. 751–774 (2016)

    Article  MathSciNet  Google Scholar 

  17. Ardagna, D., Casale, G., Ciavotta1, M., Perez, J.F., Wang, W.: Quality-of-service in cloud computing:modeling techniques and their applications. J. Internet Serv. Appl. pp. 1–17 (2014)

    Google Scholar 

  18. Fankhauser, T., Wang, Q., Gerlicher, A., Grecos, C., Wang, X.: Web Scaling frameworks for web services in the cloud. IEEE Trans. Serv. Comput. 9(5), 728–741 (2016)

    Article  Google Scholar 

  19. Singh, A., Juneja, D., Malhotra, M.: A novel agent-based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing. http://www.sciencedirect.com

  20. Basta, A., Blenk, A., Hoffmann, K.: Towards a cost optimal design for a 5G mobile core network based on SDN and NFV. IEEE Trans. Netw. Serv. Manag. pp. 1–14 (2017)

    Google Scholar 

  21. Yang, C., Huang, Q.: Spatial Cloud Computing: A Practical Approach. CRC Press, pp. 191–298(2014)

    Google Scholar 

  22. Diaz, M., Martin, C., Rubio, B.: State-of-the-art, challenges, and open issuesin the integration of Internet of things and cloud computing. J. Netw. Comput. Appl. 67(C), 99–117(2016)

    Article  Google Scholar 

  23. Ghosh, R., Longo, F., Frattini, F., Russo, S., Trived, K.S.: Scalable analytics for IaaS cloud availability. IEEE Trans. Cloud Comput. 2(1), 50–70 (2014)

    Article  Google Scholar 

  24. Tsai, C.-W., Huang, W.-C., Chiang, M.-H., Chiang, M.-C., Yang, C.: A hyper-heuristic scheduling algorithm for cloud. IEEE Trans. Cloud Comput. 2(2), 236–250 (2014)

    Article  Google Scholar 

  25. Xu, F., Liu, F., Jin, H.: Heterogeneity and interference-aware virtual machine provisioning for predictable performance in the cloud. IEEE Trans. Comput. 65(8), 2470–2483 (2016)

    Article  MathSciNet  Google Scholar 

  26. Serrano, N., Gallardo, G., Hernantes, J.: Infrastructure as a service and cloud technologies. IEEE Softw. 32(2), 30–36 (2015)

    Article  Google Scholar 

  27. https://www.rightscale.com/blog/cloud-cost-analysis/where-10b-waste-public-cloud-costs

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Correspondence to M. Swami Das .

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Swami Das, M., Govardhan, A., Vijaya Lakshmi, D., Sucheta, P.S.V. (2019). Cost Optimization Technique and Resource Utilization of Web and Cloud Services. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 104. Springer, Singapore. https://doi.org/10.1007/978-981-13-1921-1_3

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  • DOI: https://doi.org/10.1007/978-981-13-1921-1_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1920-4

  • Online ISBN: 978-981-13-1921-1

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