Realization of secondary indexing to NoSQL database with intelligent adaptation

This paper introduces the combination of NoSQL database HBase and enterprise search platform Solr so as to tackle the problem of the secondary indexing function and do fast query. An intelligent adaptation of adaptive network-based fuzzy inference system (ANFIS) along with particle swarm optimization (PSO) has been employed off-line to tune seamless handoff and network traffic flow. Finally, the assessment using performance index has been done for several competitive benchmark databases and the proposed one, verifying the effectiveness and efficiency of the proposed approach.