Abstract

Cloud services' QoS usually changes dynamically. Because of the significant influence caused by user’s position and network conditions and work-loads, the reliability of the cloud service selection constitutes a great challenge. A cloud services multiple criteria selection model was proposed based on each period of QoS characteristics and user's personality preferences which could support dynamic QoS. First, attributes of available cloud service and user preferences were expressed by triangular fuzzy number in order to solve the uncertainty, then, decision matrix for each period of QoS was built based on the available cloud service, The decision matrix with the user preference weight were conducted decision fusion after user preferences weight was calculated, finally, The high grade cloud service sequence was obtained by using fuzzy TOPSIS.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.