A Proposed Framework for Search as a Service on Private Cloud

Collecting data from multiple sources and putting into a unified silo is now a common practice. It is important to retrieve these voluminous data in a quick and efficient manner. Using search engine indexing capabilities gives the user a low-latency query towards the data. But often to set up and maintain such an infrastructure is complex and hard to maintain. In this paper, we discuss the challenges and requirement to host a search engine as a service. We take the requirement based on labs and department requirements. We propose a framework to host search engine on top of private cloud deployment. It uses a mixture of containerization and virtualization for faster deployment and easy maintenance.