Development of an Adoption Model for Blockchain Technology Using the Unified Theory of Acceptance and Use of Technology (UTAUT)

Abstract

Cloud computing is one of the leading computing paradigm that offers services like Infrastructure as a Service(IAAS), Platform as a Service(PAAS), Software as a Service(SAAS)to users on a pay per use model. The massive data centers that help cloud offer all the above stated services are virtualized. Virtualization enables easy management of resources. However, the massive physical servers in the data centers tend to consume enormous energy, leading to high environmental impact. So energy management is one of the prominent areas of research in cloud .The major techniques to manage energy is to identify unused physical resources and put them to low power state or sleep state. But, the usage of resources depends heavily on the user requirements in an elastic environment like cloud. Hence machine learning techniques can be used to predict the usage patterns thereby identifying the physical resources required to fulfill the user demand. This paper aims to survey the avenues wherein machine learning can be applied to help energy management in a cloud data center.