Survey on QoS metrics and ranking in cloud services

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    The Cloud Computing uses high speed broadband for good Quality of Service (QoS) so that Cloud based application can be used with high speed which entails the minimum response time, less latency rate and reduced amount of loss of packets. Because of the ample range within the delivered Cloud solutions, from the customer’s aspect, it's emerged as irksome to decide whose providers they need to utilize and then what's the thought of his or her option. Bestowing suitable metrics is vital in assessing practices. QoS metrics are playing an important role in selecting Cloud providers and also revamping resource utilization efficiency. To guarantee a specialized product is published, describing metrics for assessing the QoS might be an essential requirement. To obtain high quality Cloud applications, Optimal Service Selection is needed. With the increasing number of Cloud services, QoS is usually selected for describing non-functional characteristics of Cloud services. In this paper, a widespread survey on QoS metrics for service vendors and QoS Ranking in Cloud Computing is presented.

  • Keywords

    Cloud Computing; Metrics; QoS Ranking; Quality of Service

  • References

      [1] Prerita G, Harmunish T, Gagandeep S B , Quality of services in cloud computing: issues, challenges and analysis, International Journal of New Innovations in Engineering and Technology,Vol. 3,No. 3, (2015), pp:76-82

      [2] Hashem Ramadan H, Divya K, Quality of service (qos) in cloud computing, International Journal of Computer Science and Information Technologies, Vol. 8 (3) , (2017), pp:318-320

      [3] Subha M, Uthaya Banu M, A survey on qos ranking in cloud computing , ISSN 2250-2459, ISO 9001:2008 Certified Journal, Vol 4, No. 2,( 2014) Website:

      [4] Poonam K, Satav S D, A survey paper on quality of service in cloud computing, International Journal of Science and Research, Vol. 4, No.11, (2015), pp: 2119-2122

      [5] Amid K B,Seyyed M H, QoS metrics for cloud computing services evaluation, I.J. Intelligent Systems and Applications, Vol.12, (2014), pp:27-33

      [6] Srinivas J, VenkataSubba Reddy K, MoizOyser A, Cloud computing basics, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 1, No. 5, (2012), pp: 343-347

      [7] Zhang Q, Cheng L, Boutaba R, Cloud computing: state-of-the-art and research challenges, J Internet ServAppl (2010)

      [8] Zhang S, Zhu C, Sin J K O & Mok P K T, A novel ultrathin elevated channel low-temperature poly-Si TFT, IEEE Electron Device Lett., Vol. 20, (1999), pp: 569–571

      [9] Obaidat M S, Boudriga N A, Fundamentals of performance evaluation of computer and telecommunication systems, Hoboken, New Jersey: John Wiley & Sons, Inc. (2010)

      [10] Thio N, Karunasekera S, Automatic measurement of a QoS metric for web service recommendation, in Proceedings Australian Software Engineering Conference, (2005), pp. 202–211.

      [11] Wu J, Chen L, Feng Y, Zheng Z, Zhou M & Wu Z, Predicting QoS for service selection by neighborhood based collaborative filtering, IEEE Trans. System, Man, and Cybernetics.


      [13] Mell P, Grance T, The NIST definition of cloud computing. National institute of standards and technology, Information Technology Laboratory, Vol. 15, (2009)

      [14] Armbrust M, Fox A, Griffith R, Joseph A D, Katz R & Konwinski A , A view of cloud computing, Commun. ACM, 53 (4), (2010), pp. 50–58

      [15] Wang J, Zheng X, Luo D, Sensitive Data Protection Based on Intrusion Tolerance in Cloud Computing, International Journal of Intelligent Systems and Applications (IJISA), 3(1), (2011), pp. 58-66

      [16] Breese J S, Heckerman D, Kadie C, Empirical analysis of predictive algorithms for collaborative filtering, Proc. 14th Ann. Conf. Uncertainty in Artificial Intelligence (UAI 98), (1998), pp: 43-52

      [17] Linden G, Smith B, York J, Recommendations: Item-to-Item Collaborative Filtering, IEEE Internet Computing, Vol. 7, No. 1, (2003), pp. 76-80

      [18] Yu T, Zhang Y, Lin K J, Efficient algorithms for web services selection with end-to-end QoS constraints, ACM Trans. Web, Vol. 1, No. 1, (2007), pp. 1-26

      [19] Saurabh Kumar G, Versteeg S , RajkumarBuyya, SMICloud: A framework for comparing and ranking cloud services, Published in Fourth IEEE International Conference on Utility and Cloud Computing (2011)

      [20] Zheng Z, Zhang Y, Lyu M R, CloudRank: A QoS driven component ranking framework for cloud computing, Proc. Intl Symp. Reliable Distributed Systems (SRDS10), (2010), pp. 184-193

      [21] Zheng Z, Wu X, Zhang Y, Lyu M R & Wang J, QoS ranking prediction for Cloud services, IEEE Transactions on Parallel and Distributed Systems, Vol. 99, (2012).

      [22] R. Farah Sayeed, S. Princey, and S. Priyanka. "Deployment of MultiCloud Environment with Avoidance of DDOS Attack and Secured Data Privacy." International Journal of Applied Engineering Research 10, no. 9 (2015): 8121-8124.




Article ID: 10660
DOI: 10.14419/ijet.v7i1.3.10660

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.