Cloud Service Selection for Dynamic QoS and Fuzzy Entropy Weight TOPSIS

Abstract

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.