Modern data-intensive applications generate massive graph-structured data streams from social networks, financial systems, sensor infrastructures, and online services. Extracting meaningful insights such as heavy hitters, dense communities, and
neighborhood relationships from these streams requires algorithms that are...
Praveen Kumar Kumbum, Ramachandra Reddy Vangala· International Journal of Clo...· 0 citations
Modern data-driven applications increasingly rely on distributed graph databases and machine learning pipelines to extract knowledge from massive datasets. However, efficient query processing in distributed environments remains challeng-ing due to
issues such as graph partitioning inefficiencies, dynamic connectivity u...
Praveen Kumar Kumbum, Ramachandra Reddy Vangala· Journal of Business Intellig...· 0 citations
Modern data management systems must simultaneously address three critical challenges: efficient query optimization for large queries, reliable detection of logical errors in database engines, and high-performance processing across heterogeneous hardware
architectures. Traditional query optimizers rely on dynamic progra...
Praveen Kumar Kumbum, Ramachandra Reddy Vangala· Journal of Data Science and...· 0 citations
Cloud-assisted and edge-enabled environments have become fundamental infrastructures for large-scale data storage, collaborative processing, and real-time analytics. While Ciphertext-Policy Attribute-Based Encryption (CP-ABE) provides
fine-grained access control, its computational overhead renders it impractical for re...
