An Optimal Data Placement Strategy for Improving System Performance of Massive Data Applications Using Graph Clustering. - Shanmugasundaram Vengadeswaran; S. R. Balasundaram 001 (Int. J. Ambient Comput. Intell., 2018)

Significance of Hierarchical and Markov Clustering in Grouping Aware Data Placement for Data Intensive Applications Having Interest Locality. - Shanmugasundaram Vengadeswaran; Sadhu Ramakrishnan Balasundaram (Scalable Comput. Pract. Exp., 2018)

CORE?? an optimal data placement strategy in Hadoop for data intentitive applications based on cohesion relation. - Shanmugasundaram Vengadeswaran; S. R. Balasundaram 001 (Comput. Syst. Sci. Eng., 2019)

CLUST: Grouping Aware Data Placement for Improving the Performance of Large-Scale Data Management System. - Shanmugasundaram Vengadeswaran; Sadhu Ramakrishnan Balasundaram (COMAD/CODS, 2020)

IDaPS - Improved data-locality aware data placement strategy based on Markov clustering to enhance MapReduce performance on Hadoop. - Shanmugasundaram Vengadeswaran; S. R. Balasundaram 001; P. Dhavakumar (J. King Saud Univ. Comput. Inf. Sci., 2024)

Software defect prediction using graph sample and aggregate-attention network optimized with nomadic people optimizer for enhancing the software reliability. - P. Dhavakumar; Shanmugasundaram Vengadeswaran (Comput. Stand. Interfaces, 2026)