… systems focus on specific processing paradigms, such as complex event processing (CEP), …
primitive event streams (eg, sensor measurements). Real-time stream processing is usually …

… The generated microcode are loaded at runtime to execute kernels. The first phase of the
compiler, summarized by the flowchart in Figure 3, is described in the following sections. …

… We define the latency of a stream processing system as the time … and as the running time is
dominated by computation we see … We compare the time taken per microbatch while running …

… stream processing pipelines for most use cases, as can be inferred from the documentation
of these frameworks [14], [16], [17], [18]: basic operations, joining, windowing and processing …

… We presented an auto-parallelization scheme that can provide elasticity to stream
processing applications. It is able to adjust the number of parallel channels to use at runtime, …

… transaction streams. Since the optimization opportunities arise at runtime, we develop a
runtime query … the query failure conditions to be checked at runtime. This guarantees a constant-…

… -running stream applications usually share the same fundamental computational infrastructure.
To improve the efficiency of data processing in stream processing … , (1) stream input rates …

… Although a traditional SQL system knows it is finished computing when it gets to the end of
a table, because streaming data never ends, a stream processing engine must be instructed …

… stream analysis has led to the development of many open-source streaming data processing
… In this paper, we propose a framework for benchmarking distributed stream processing …

… , databases, operating systems, and complex event processing… a survey of optimizations
for stream processing. It is aimed … We hope that this survey will help future streaming system …