Titlebook: QoS Prediction in Cloud and Service Computing; Approaches and Appli Yilei Zhang,Michael R. Lyu Book 2017 The Author(s) 2017 Cloud Computing

洞穴

非秘密

Online QoS Prediction,service-oriented systems highly depends on the remote Web services as well as the unpredictability of the Internet. Performance prediction of service-oriented systems is critical for automatically selecting the optimal Web service composition. Since the performance of Web services is highly related

同謀

QoS-Aware Web Service Searching,we present WSExpress (Web Service Express), a novel Web service search engine to expressively find expected Web services. WSExpress ranks the publicly available Web services not only by functional similarities to user queries, but also by non-functional QoS characteristics of Web services. WSExpress

CHIP

陪審團(tuán)每個(gè)人

intellect

的是兄弟

Book 2017the reader for research in cloud performance, the book first identifies common problems in QoS prediction and proposes three QoS prediction models to address them. Then it demonstrates the benefits of QoS prediction in two QoS-aware research areas. Lastly, it collects large-scale real-world temporal

觀點(diǎn)

TOXIC

membrane

QoS-Aware Byzantine Fault Tolerance,ted in 26 countries. The experimental results show that BFTCloud guarantees high reliability of systems built on the top of voluntary-resource cloud infrastructure and ensure good performance of these systems.