Abstract
Four novel models define the fundamental  temporal semantics upon which the Stream on as DSMS  has been architected, as also the fundamental temporal semantics for application development on the system. Extensive experimental results demonstrate the power of the theoretical models as also the stability and scalability of the system when this is tested with a load from 2, 4, 6, 8 and 10 expressways when running the Linear Road Benchmark. The extensive experimental results demonstrate the effectiveness of the theoretical Semantic-Space Time models as the system has reached the maximum level of difficulty of the benchmark (10 expressways) with an average  query latency of 0.000026 seconds, 192,307 times faster than the 5 seconds hard real-time constraint the benchmark sets.