cs 18: e4

Research Article

Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer

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  • @ARTICLE{10.4108/eai.19-10-2021.171468,
        author={Suvarna S. Pawar and Y. Prasanth},
        title={Design of an Efficient Trustful-Lightweight Cloud  Service Provisioning Model using Service Optimizer},
        journal={EAI Endorsed Transactions on Cloud Systems: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={CS},
        year={2021},
        month={10},
        keywords={Cloud services, QoS, trust-aware model, Service Optimizer, Trustful Lightweight Cloud Service provisioning, weighted coefficients},
        doi={10.4108/eai.19-10-2021.171468}
    }
    
  • Suvarna S. Pawar
    Y. Prasanth
    Year: 2021
    Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer
    CS
    EAI
    DOI: 10.4108/eai.19-10-2021.171468
Suvarna S. Pawar1,*, Y. Prasanth1
  • 1: Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation Vaddeswaram - 522502, Guntur District, Andhra Pradesh, India
*Contact email: sspawar.scoe@sinhgad.edu

Abstract

INTRODUCTION: The establishment of trusted cloud services pretends to provide high impactful service with better satisfaction to the web-users and cloud service providers. Moreover, various existing trust-aware algorithms use diverse QoS measurements and related attributes, leading to the complex selection of cloud services.

OBJECTIVES: Thus, this research intends to propose a Trustful-Lightweight Cloud Service Provisioning algorithm (TL-CSP) using Service Optimizer (SO).

METHODS: Initially, the QoS metrics are determined by evaluating attributes based on a ranking method based on the users' requests. It is performed with the computation of weighted coefficients of received requests from the users. The service optimization is performed using a global optimizer to assist the cloud users in selecting the service with better satisfaction.

RESULTS: The proposed TL-CSP accuracy is validated and compared with the existing cloud service provisioning algorithm to measure the proposed model's efficiency.

CONCLUSION: The simulation is carried out in a MATLAB environment. The proposed TL-CSP intends to shows a better trade-off in contrast to prevailing approaches.