Framework for ranking the cloud service providers of federated cloud architecture using probability ranking methodology

被引:0
|
作者
Aruna L. [1 ]
机构
[1] P.G. and Research Department of Computer Science, Marudupandiyar College of Arts and Science, Trichy Main Road, Pillaiyarppatti, Thanjavur
来源
关键词
Broker manager; Cloud ranking; Federated architecture; Service provider; SLA parameters;
D O I
10.1504/IJART.2019.097342
中图分类号
学科分类号
摘要
To select the best cloud provider in federated cloud architecture. It is also aimed to resolve various problems faced by the user and providers in cloud environment. The proposed innovation method shortlists the cloud service provider based on the quality of service (QoS) and SLA parameters. It can be used to select the best possible service provider using service measurement index (SMI). These SMI parameters are designed and implemented by Cloud Service Measurement Index Consortium (CSMIC). In this paper, a unique provider discovery algorithm and new classical probability ranking principle technique (NCPRPT) model is proposed in the modified federated architecture and then the performance is evaluated. Users can select the optimum cloud provider according to the required levels of services is very difficult and time consuming. This federated architecture can be used to the new ranking mechanism for ranking the providers using classical probability ranking on the basis of the SMI parameters. All the shortlisted providers are examined and then ranking is done on the basis of the present and past values of SMI. Copyright © 2019 Inderscience Enterprises Ltd.
引用
下载
收藏
页码:117 / 126
页数:9
相关论文
共 50 条
  • [1] Framework for ranking the cloud service providers of federated cloud architecture using probability ranking methodology
    Aruna, L.
    INTERNATIONAL JOURNAL OF ARTS AND TECHNOLOGY, 2019, 11 (01) : 117 - 126
  • [2] FRAMEWORK FOR RANKING SERVICE PROVIDERS OF FEDERATED CLOUD ARCHITECTURE USING FUZZY SETS
    Aruna, L.
    Aramudhan, M.
    INTERNATIONAL JOURNAL OF TECHNOLOGY, 2016, 7 (04) : 552 - +
  • [3] Priority based prediction mechanism for ranking providers in federated cloud architecture
    Saravanan, M.
    Aramudhan, M.
    Pandiyan, S. Sundara
    Avudaiappan, T.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 4): : S9815 - S9823
  • [4] Priority based prediction mechanism for ranking providers in federated cloud architecture
    M. Saravanan
    M. Aramudhan
    S. Sundara Pandiyan
    T. Avudaiappan
    Cluster Computing, 2019, 22 : 9815 - 9823
  • [5] Trust Integrated Federated Architecture Ranking Service Models in Cloud Computing Environment
    Saravanan, M.
    Aramudhan, M.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMMUNICATION AND NETWORKS, 2017, 508 : 223 - 232
  • [6] An Extended TOPSIS Approach for Ranking Cloud Service Providers
    Radulescu, Constanta Zoie
    Radulescu, Iulia Cristina
    STUDIES IN INFORMATICS AND CONTROL, 2017, 26 (02): : 183 - 192
  • [7] Cloud Service Providers Ranking Based on Service Delivery and Consumer Experience
    Wagle, Shyam S.
    Guzek, Mateusz
    Bouvry, Pascal
    2015 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET), 2015, : 209 - 212
  • [8] AHP-Based Ranking of Cloud-Service Providers
    Chahal, Rajanpreet Kaur
    Singh, Sarbjeet
    INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 1, INDIA 2016, 2016, 433 : 491 - 499
  • [9] A graph-based method for ranking of cloud service providers
    Tina Esther Trueman
    P. Narayanasamy
    J. Ashok Kumar
    The Journal of Supercomputing, 2022, 78 : 7260 - 7277
  • [10] A graph-based method for ranking of cloud service providers
    Trueman, Tina Esther
    Narayanasamy, P.
    Kumar, J. Ashok
    JOURNAL OF SUPERCOMPUTING, 2022, 78 (05): : 7260 - 7277