In an era where data volume is growing exponentially, effective data management
techniques are more crucial than ever. Traditional methods typically manage the size of …

Many modern systems, such as financial, transportation, and telecommunications systems,
are time-sensitive in the sense that they demand low-latency predictions for real-time …

This work develops and explains a method of using a database's organizational structure to
implement data manipulations (grouping, addition, averaging) that enable the database to …

The advancement of communication technologies in edge computing has led to progress in
various applications, including those that require vehicle-to-vehicle (V2V) and vehicle-to …

In the era of big data, the ability to efficiently manage and analyze continuous data streams
is critical for applications ranging from autonomous navigation systems to financial trading …

In today's interconnected world, time-sensitive systems are essential across various
domains, demanding ultra-low latency for real-time decision-making and accurate …