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A Novel Approach for Service Selection and Ranking in Federated Cloud

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Key Digital Trends Shaping the Future of Information and Management Science (ISMS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 671))

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Abstract

In Federated Cloud environment, Cloud service ranking and selection is a very tedious work because of complexion involved Service Level Agreement (SLA) and Service specifications. Quality of Service (QoS) expected from Cloud users may be conflicting based on their applications. Cloud Brokers needs to be deal with Cloud users and Federated cloud like a heterogeneous interface. A Cloud Brokers also fulfils many suitable services from available resources. Cloud Broker also choose the federated cloud services based on their rank for available service. Noncommercial and conflicting demands of users evolves Cloud Service Selection a very competitive multi-criteria based service ranking and selection problem. Cloud User requests from different federated clouds based on some preference order of QoS parameters. This preference order converts into individual QoS parameters by assigning suitable weight. The weighted demands are estimated the available QoS values for each cloud service. In the next step, modified VIKOR method is applied for finding the rank of the services. This rank of service is based on preference of QoS parameters. The service with highest rank is selected and provided to the user. We used CloudSim for the testing of this method.

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Author information

Authors and Affiliations

  1. Cloud Computing Lab, Department of Computer Science and Engineering, Shri Vaishnav Institute of Information Technology, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India

    Rajat Saxena

  2. Department of Information Technology, NRI Institute of Information Science and Technology, Bhopal, India

    Shatendra Dubey & Upanshu Kumar

Authors
  1. Rajat Saxena
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  2. Shatendra Dubey
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  3. Upanshu Kumar
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Corresponding author

Correspondence to Rajat Saxena .

Editor information

Editors and Affiliations

  1. Faculty of Information and Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

  2. Department of Computer Science and Engineering, National Institute of Technology Raipur, Chhatisgarh, India

    Dilip Singh Sisodia

  3. Central University of Rajasthan, Tehsil Kishangarh, Rajasthan, India

    Nishtha Kesswani

  4. CIS Department, University of Malta, Msida, Malta

    Joseph G. Vella

  5. EMLYON Business School, Écully, France

    Imene Brigui

  6. Department of Applied Data Science, Institute of Energy Technology, Halden, Norway

    Sanjay Misra

  7. Computer Science and Engineering, National Institute of Technology, Chhattisgarh, India

    Deepak Singh

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Saxena, R., Dubey, S., Kumar, U. (2023). A Novel Approach for Service Selection and Ranking in Federated Cloud. In: Garg, L., et al. Key Digital Trends Shaping the Future of Information and Management Science. ISMS 2022. Lecture Notes in Networks and Systems, vol 671. Springer, Cham. https://doi.org/10.1007/978-3-031-31153-6_12

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