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...