Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …

This paper focuses the attention on big data provenance issues, and provides a
comprehensive survey on state-of-the-art analysis and emerging research challenges in this …

Making co-existent and convergent the need for efficiency of relational query processing
over Clouds and the security of data themselves is figuring-out how one of the most …

Nowadays, big data has become a hot research topic. It gives fresh impetus to the economic
and social development. However, the huge value of big data also makes it the focus of …

Data streaming enables online monitoring of large and continuous event streams in Cyber-
Physical Systems (CPSs). In such scenarios, fine-grained backward provenance tools can …

In the last decade, there has been a growing interest in applying AI technologies to
implement complex data analytics over data streams. To this end, researchers in various …

Streaming applications continuously process data to deliver streams of up-to-date results.
Their growing adoption for data analysis in many distributed systems is motivated by their …

Fine-grained data provenance in data streaming allows linking each result tuple back to the
source data that contributed to it, something beneficial for many applications (eg, to find the …

In data streaming, why-provenance can explain why a given outcome is observed but offers
no help in understanding why an expected outcome is missing. Explaining missing answers …

Capturing provenance usually involves the direct observation and instrumentation of the
execution of a program or workflow. However, this approach restricts provenance analysis to …