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

Autor: Pawar, Suvarna S., Prasanth, Y.
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Zdroj: EAI Endorsed Transactions on Cloud Systems; 2021, Vol. 7 Issue 21, p1-13, 13p
Abstrakt: 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 (TLCSP) 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index