In a data stream management system (DSMS), users register continuous queries, and
receive result updates as data arrive and expire. We focus on applications with real-time …

In a stream data analytics system, input data arrive continuously and trigger the processing
and updating of analytics results. We focus on applications with real-time constraints, in …

We propose a model for clustering data with spatiotemporal intervals. This model is used to
effectively evaluate clusters of spatiotemporal interval data. A new energy function is used to …

Particle Swarm Optimization (PSO) is a metaheuristic algorithm based optimization
technique for continuous search problem. It is among the most used algorithms in various …

Heterogeneous real-time spatial data management is a very active research domain
nowadays. We are talking about a real-time spatial big data that process a large amount of …

With the appearance of the period of large information, the customary information preparing
model and asset the executive's model have been not able to fulfill the developing need. In …

One of the major factors that limits scalability in distributed databases is concurrency control
such as locking. Traditionally, lock managers have been designed for local access while …

The concept of Big Data has been having a great impact in the field of technology,
particularly in the management and analysis of huge volumes of information. Nowadays …

In a data stream management system (DSMS), users register continuous queries, and
receive result updates as data arrive and expire. We focus on applications with real-time …

Nowadays, real-time spatial applications have become more and more important. Such
applications result dynamic environments where data as well as queries are continuously …