… Our goal is to design a flexible stream computing platform which consumes such a stream,
computes intermediate values, and possibly emits other streams in a distributed computing …

… : Batch computing and stream computing are two important forms of big data computing. …
Firstly, the research gives a brief summary of three application scenarios of stream computing in …

… are critical to stream computing, the number of kernel outputs and stream dimensions and
size… Secondly, stream computing on GPUs will benefit greatly from the recent addition of vertex …

… computing, real-time stream computing is gaining signi cant attention in the Big Data era. In
theory, stream computing … However, in most existing stream computing environments, how to …

… Big data stream computing relies on programs that compute continuous data streams.
Providing fast big data processing with large-scale parallel architectures, stream computing is …

… This paper presents big data stream computing in healthcare … , and NoSQL Cassandra for
stream computing, to combine … by providing batch and stream computing, extendable storage …

… of stream computing and … stream computing, stream computing architecture and frame works.
A table comparing the features of Data warehouses (DWH), Hadoop and stream computing …

… many distributed stream computing systems. However, complexity of stream computing and
… This paper takes an early step towards benchmarking modern distributed stream computing …

… stream processing to a Cloud environment as required in response to the changes of the
data rate in the input data stream. … an IBM System S stream computing system to evaluate the …

… processing of data streams and events. We present ESC, a new stream computing engine.
It is … This is crucial for stream computing since the amount of data fed into the system is not …