Enterprise Search with Development for Network Management System
Mingxue Wang, Robin Grindrod, Jimmy O'Meara, Mikel Zuzuarregui, Eloy Martinez, Enda Fallon · 2015
Browsing and searching network information for observation, analysis and troubleshooting is an inherent part of using the features and functions of any Network Management System. Enterprise search has capabilities for handling various data types and sources and big data scalability, and is becoming an emerging technology for such network management functions development. In this paper, we give an overview on work done in our research and prototype team regarding an advanced search project. We provide a brief report on search fundamental knowledge and study of Solr search platform stack. It answers common questions from management and development teams regarding adopting search technology for production development, and gives a Solr reference card for developers. We also introduce two advanced search features, user experience based search recommendation and anomaly detection enhanced search ranking from our research work. Two features are developed to make network searches more efficient as it can help user quickly locate the most valuable search results, but the concept can be adopted for search applications in other domains.