A Survey on Predicting Uncertainty of Cloud Service Provider Towards Data Integrity and Economic

Authors

  • Mahesh K  PhD Scholar, CSE Department, JJT University, Rajasthan, India
  • Dr. Yogesh Kumar Sharma  Associate Professor, JJT University, Rajasthan, India
  • Dr. M Laxmaiah  Professor & Head of IIIC, CSE Department, CMR Engineering College, Telangana, India

Keywords:

Uncertainty, Cloud Computing, Resource Provisioning, Classification, Scheduling, Data Integrity.

Abstract

Cloud computing is an advanced service provider technology. It offers various services to the end users as IaaS, PaaS and SaaS. Even it performs well uncertainty becomes an open issue for service providers which does not meet the data integrity and economic factors due lack of predicting uncertainty. In this paper we conducted in depth survey on uncertainty predicting methods and adapted novel strategies to fix uncertainty problems. The existed works failed to explain various technical stuff. We touch different sources of uncertainty like dynamic elasticity, dynamic performance changing, virtualization, loosely coupling application to the infrastructure, among many others not explained predictable sources of uncertainty. In most existing solutions, it is assumed that VMs are predictable and stable in their performance. In actual cloud infrastructures these assumptions do not hold. Providers might not know the quantity of data and computation required by users. We provide a view of uncertainty and its classification in different scenarios from high performance computing, grid computing and cloud Infrastructures to exscale with its opportunities and challenges of its mitigating.

References

  1. D Kandpal. "Role of Service Brokers in Cloud Computing", Z. Mahmood (ed.), Cloud Computing:Methods and Practical Approaches, Computer Communications and Networks, Springer-Verlag London, DOI 10.1007/978-1-4471-5107-4_5, pp. 87-105. 2013.
  2. F Liu, J. Tong, J. Mao, R. Bohn, J. Messina, L. Badger and D. Leaf, "NIST SP 500-292: NIST Cloud Computing reference architecture", Recommendations of the National Institute of Standards and Technology, pp. 1-35, 2011.
  3. S Ried, "Cloud Broker - A New Business Model Paradigm", Deriving More Business And Economic Models From Cloud Computing, pp. 1-19, 2011.
  4. S Mukherjee and S. Loganathan, "Role of Broker in InterCloud Environment", Z. Mahmood (ed.), Continued Rise of the Cloud, Computer Communications 119 and Networks, Springer-Verlag London , DOI 10.1007/978-1-4471-6452-4_5, pp. 119 - 144, 2014.
  5. J Y. Lee, J. W. Lee, D. W. Cheun and S. D. Kim, "A Quality Model for Evaluating Software-as-a-Service in Cloud Computing", Seventh ACIS International Conference on Software Engineering Research, Management and Applications, pp. 261-266, 2009.
  6. X Zheng, P. Martin, K. Brohman and L. D. Xu, "CloudQual: A quality model for cloud services", IEEE Transactions on Industrial Informatics, vol. 10, no. 2, p. 1527-1536, 2014.
  7. Saravanan and Kantham, "An enhanced QoS Architecture based Framework for Ranking of Cloud Services", International Journal of Engineering Trends and Technology (IJETT) - Volume 4, Issue 4, pp. 1022 - 1031, 2013.
  8. S K. Garg, S. Versteeg and R. Buyya, "SMICloud: A framework for comparing and ranking of cloud services", Fourth IEEE international conference on utility and cloud computing, pp. 210- 218, 2011.
  9. J L. L. Simarro, I. S. Aniceto, R. M. Vozmediano, R. S. Montero and I. M. Llorente, "A Cloud Broker Architecture for Multicloud Environments", John Wiley & Sons. Inc. Published, pp. 359-376, 2014.
  10. E. Badidi, "Towards Cooperative Cloud Service Brokerage for SLA-driven Selection of Cloud Services", Springer International Publishing Switzerland, R. Silhavy et al. (eds.), Software Engineering in Intelligent Systems, Advances in Intelligent Systems and Computing 349, DOI: 10.1007/978-3-319-18473-9_27, pp. 271-281, 2015.
  11. A. Li, X. Yang, S. Kandula and M. Zhang, "CloudCmp: Comparing Cloud service providers", ACM, Copyrights, 2010.
  12. Z. U. Rehman, F. K. Hussain and O. K. Hussain, "Towards Multi-Criteria Cloud Service Selection", 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, DOI 10.1109/IMIS.2011.99, pp. 44-48, 2011.
  13. E. Badidi, "A Cloud Service Broker for SLA-based SaaS Provisioning", IEEE, pp. 61-66, 2013.
  14. M. Usha, J. Akilandeswari and A. S. S. Fiaz, "An Efficient QoS framework for Cloud Brokerage Services", International Symposium on Cloud and Services Computing, pp. 76-79, 2012.
  15. F Jrad, J. Tao and A. Streit, "SLA Based Service Brokering in Intercloud Environments", CLOSER 2012 - 2nd International Conference on Cloud Computing and Services Science, pp. 76-81, 2012.
  16. R. Karim, C. Ding and A. Miri, "An End-To-End QoS Mapping Approach for Cloud Service Selection", IEEE Ninth World Congress on Services, pp. 341-348, 2013.
  17. M. Tajvidi, R. Ranjan, J. Kolodziej and L. Wang, "Fuzzy cloud service selection framework", IEEE 3rd International conference on Cloud networking (cloudnet), 978-1-4799-2730-2, pp. 463-468, 2014.
  18. Z. Zheng, X. Wu, Y. Zhang, M. R. Lyu and J. Wang, "QoS Ranking Prediction for Cloud Services, IEEE Transactions on Parallel & Distributed Systems, Digital Object Identifier 10.1109/TPDS.2012.285, pp. 1-11, 2012.
  19. V. N. Dondapati, "A cloud brokerage architecture for efficient cloud service selection", Masters Theses. Paper 7256, Spring, pp 1-46, 2014.
  20. S. Yangui, I. J. Marshall, J. P. Laisne and S. Tata, "CompatibleOne: The Open Source Cloud Broker", J Grid Computing, DOI 10.1007/s10723-013-9285-0, Springer, 2013.
  21. D. Kang, S. Son and J. Kim, "Design of Cloud Service Brokerage System Intermediating Integrated Services in Multiple Cloud Environment", International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:8, No:12, pp.2129-2134,2014.
  22. I. Patiniotakis, Y. Verginadis and G. Mentzas, "PuLSaR: preference-based cloud service selection for cloud service brokers", Journal of Internet Services and Applications, a Springer Open Journal, DOI 10.1186/s13174-015-0042-4, pp 1-14, 2015.
  23. J. Kang and K. M. Sim, "Cloudle: A Multi-criteria Cloud Service Search Engine", IEEE Asia-Pacific Services Computing Conference, 978-0-7695-4305- 5/10, DOI 10.1109/APSCC.2010.44 ,pp. 339-346, 2010.
  24. G. F. Anastasi, E. Carlini, M. Coppola and P. Dazzi, "QBROKAGE: A Genetic Approach for QoS Cloud Brokering", IEEE International Conference on Cloud Computing, 978-1-4799-5063-8/14, DOI: 10.1109/ CLOUD.2014.49, pp. 304-311, 2014.
  25. B E. Zant and M. Gagnaire, "Towards a unified customer aware figure of merit for CSP selection", El Zant and Gagnaire Journal of Cloud Computing: Advances, Systems and Applications, a SpringerOpen Journal, DOI 10.1186/s13677-015-0049-1, pp 1-23,2015.
  26. R Annette, A. Banu and Sriram, "Cloud Broker for Reputation-Enhanced and QoS based IaaS Service Selection", Proc. of Int. Conf. on Advances in Communication, Network, and Computing, CNC, Elsevier, pp 815-824, 2014.
  27. L. Qu, "Credible Service Selection in Cloud Environments", Ph. D. Thesis Macquarie University, pp 1-207, 2016.
  28. S. Sundareswaran, "GABE: A Cloud Brokerage System for Service Selection, Accountability and Enforcement", Ph.D. Thesis The Pennsylvania State University, pp 1-135, 2014.
  29. P. S. Pawar, "Cloud Broker Based Trust Assessment of Cloud Service Providers", Ph.D. Thesis, City University London, pp. 1-219, 2015.
  30. M. Supriya, K. Sangeeta and G. K. Patra, "Trustworthy Cloud Service Provider Selection using Multi Criteria Decision Making Methods", Engineering Letters, 24:1, EL_24_1_01, pp. 1-10, 2016.
  31. J. Li, A. Squicciarini, D. Lin, S. Sundareswaran and C. Jia, "MMBcloud-tree: Authenticated Index for Verifiable Cloud Service Selection", IEEE Transactions on Dependable and Secure Computing, DOI 10.1109/TDSC.2015.2445752, pp 1-14, 2015.
  32. Z. U. Rehman, O. K. Hussain and F. K. Hussain, "Multi-Criteria IaaS Service Selection based on QoS History", IEEE 27th International Conference on Advanced Information Networking and Applications, DOI 10.1109/AINA.2013.158, pp 1129-1135, 2013.
  33. C. L. Hsu, "A cloud service selection model based on user-specified quality of service level", CS & ITCSCP, DOI: 10.5121/csit.2014.4706, p.p. 43-54, 2014. [34] S. Sundareswaran, A. Squicciarini and D. Lin, "A Brokerage-Based Approach for Cloud Service Selection", IEEE Fifth International Conference on Cloud Computing, 978-0-7695-4755-8/12, DOI 10.1109/CLOUD.2012.119, pp 558-565, 2012.
  34. S. Lee and K. K. Seo, "A Hybrid Multi-Criteria Decision-Making Model for a Cloud Service Selection Problem Using BSC, Fuzzy Delphi Method and Fuzzy AHP", Springer Science+Business Media New York, DOI 10.1007/s11277-015-2976-z, pp. 1-19, 2015.
  35. Y. Liu, M. Esseghir and L. M. Boulahia, "Evaluation of Parameters Importance in Cloud Service Selection Using Rough Sets", Scientific Research Publishing, DOI: http://dx.doi.org/10.4236/am.2016. 76049, pp. 527-541, 2016.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2019-01-30

Issue

Volume 6, Issue 1, January-February-2019

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mahesh K, Dr. Yogesh Kumar Sharma, Dr. M Laxmaiah, " A Survey on Predicting Uncertainty of Cloud Service Provider Towards Data Integrity and Economic, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 1, pp.01-13, January-February-2019.