Intelligent-Based Visual Pattern Clustering for Storage Layouts in Virtual Environments

摘要: There has been an increased demand for characterizing user access patterns using data mining techniques since the informative knowledge extracted from 3D server log files cannot only offer benefits web site structure improvement but also better understanding of navigational behavior. In this paper, we present hypergraph-based clustering method, which utilize usage and traversal pattern information to capture based on model. This study presents a storage solution called Object-oriented HyperGraph-based Clustering (OHGC) approach, employs hidden hinting among objects in virtual environments (VE). The OHGC takes frequent input that are discovered databases, with more efficient management assist performance improvement. Analytical results reveal proposed approach VE-based application hint produces efficiency savings up 30% or over conventional non-OHGC solutions, whereas schemes retrieve achieve about 20% systems.