The authors introduce both the quantitative and qualitative economic models as optimization tools for the selection of long-term cloud service requests. The economic models fit almost intuitively in the way business is usually done and maximize the profit of a cloud provider for a long-term period.The authors propose a new multivariate Hidden Markov and Autoregressive Integrated Moving Average (HMM-ARIMA) model to predict various patterns of runtime resource utilization. A heuristi...

This book constitutes revised selected papers from the Australasian Symposium on Service Research and Innovation, ASSRI 2018.The conference was held in two parts on September 6, 2018, in Sydney, Australia, and on December 14, 2018, in Wollongong, Australia.The 9 full and 2 short papers included in this volume were carefully reviewed and selected from a total of 26 submissions, covering a variety of topics related to service-oriented computing and service science. The book a...