Author

Praveen Kumar Kumbum

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Open access 2025

CODAQ: Context-Oriented Distributed Adaptive Query Processing for Large-Scale Graph and Data Systems

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

Open access 2024

HYPERION-Q: A Graph-Guided Self-Validating and Hardware-Aware Framework for High-Performance Query Processing

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

Open access 2023

Lattice-Guided Secure Edge Collaboration: An Efficient IBE-to-ABE ReEncryption Framework over Recycled Smartphone Edge Clusters in Temporal Cloud Environments

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...

Praveen Kumar Kumbum, Somasekhar Gubbala · Journal of Artificial intell... · 0 citations