Authors : Mayuri G. Ghodmare, M.N.Quadri and S.B.Kishor
Page Nos : 161-163
Description :
This tutorial presents recent research results in the field of data streaming as applied to stream processing systems. In particular, we introduce data streaming models and discuss the results of key algorithms in this research area. We then detail how such algorithms can be applied to modern distributed stream processing systems to improve their efficiency. Finally, we outline open research directions in this area. Today's data is generated from a myriad of sources, including IoT sensors, servers, security logs, applications, and internal/external systems. It is almost impossible to control the structure, data integrity, or the amount or speed of data generated.
