BSS: a brokering model for service selection using integrated weighting approach in cloud environment

Journal of Cloud Computing

R. C. Joshi¹  Emmanuel S. Pilli²  Sameer Singh Chauhan² 

[1] Chancellor, Graphic Era Deemed to be University, Dehradun, India;Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, Rajasthan, India;

关键词: Cloud computing;    Service selection;    Cloud broker;    Integrated weight;   

DOI  :  10.1186/s13677-021-00239-5

来源: Springer

【 摘 要 】

Cloud providers shares their resources and services through collaboration in order to increase resource utilization, profit and quality of services. The offered services with different access patterns, similar characteristics, varied performance levels and cost models create a heterogeneous service environment. It becomes a challenging task for users to decide a suitable service as per their application requirements. Cloud broker, an inter-mediator is required in service management to help both cloud providers and users. Cloud broker has to store all the information related to services and feedback of users on those services in order to provide the best services to end-users. Brokering model for service selection (BSS) has been proposed which employs integrated weighting approach in cloud service selection. Subjective and objective weights of QoS attributes are combined to compute integrated total weight. Subjective weight is obtained from users’ feedback on QoS attributes of a cloud service while objective weight is computed from benchmark tested data of cloud services. Users’ feedback and preferences given to QoS parameters are employed in subjective weight computation. Objective weight is computed using Shannon’s Entropy method. Total weight is obtained by combining subjective and objective weights. BSS method is employed to rank cloud services. Simulation with a case study on real dataset has been done to validate the effectiveness of BSS. The obtained results demonstrate the consistency of model for handling rank reversal problem and provides better execution time than other state-of-the art solutions.

【 授权许可】

CC BY