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 …

With the rapid growth of the Internet, online advertisement plays a more and more important
role in the advertising market. One of the current and widely used revenue models for online …

While traditional data-management systems focus on evaluating single, ad-hoc queries over
static data sets in a centralized setting, several emerging applications require (possibly …

Forecasting workflow activity durations is of great importance to support satisfactory QoS in
workflow systems. Traditionally, a workflow system is often designed to facilitate the process …

We study the problem of continuous monitoring of top-k queries over multiple non-
synchronized streams. Assuming a sliding window model, this general problem has been a …

While traditional data management systems focus on evaluating single, ad hoc queries over
static data sets in a centralized setting, several emerging applications require (possibly …

Executing continuous queries over out-of-order data streams, where tuples are not ordered
according to timestamps, is challenging; because high result accuracy and low result latency …

Processing large data streams is now a major topic in data management. The data involved
can be truly massive, and the required analyses complex. In a stream of sequential events …

One fundamental challenge in data stream processing is to cope with the ubiquity of
disorder of tuples within a stream caused by network latency, operator parallelization …

In scientific workflow systems, time related functionalities such as workflow scheduling and
temporal verification normally require effective forecasting of activity durations due to the …