Stream Processing Systems Benchmark:

Stream Processing Systems Have Arrived at the Big Data Party. But Where Are All the Benchmarks?

Stream processing systems have now become an integral part of the Big Data ecosystem. Unfortunately, streaming benchmarks have not followed suit leading to non-representative benchmarking of systems. Benchmarks in general have many use cases including: (a) comparing two or more systems, (b) matching applications and workloads to systems, and (c) configuring and optimizing a system. Due to these...

Benchmarking Distributed Stream Processing Platforms for IoT Applications

Internet of Things (IoT) is a technology paradigm where millions of sensors monitor, and help inform or manage, physical, environmental and human systems in real-time. The inherent closed-loop responsiveness and decision making of IoT applications makes them ideal candidates for using low latency and scalable stream processing platforms. Distributed Stream Processing Systems (DSPS) are becoming...

RIoTBench: An IoT benchmark for distributed stream processing systems

The Internet of Things (IoT) is an emerging technology paradigm where millions of sensors and actuators help monitor and manage, physical, environmental and human systems in real-time. The inherent closedloop responsiveness and decision making of IoT applications make them ideal candidates for using low latency and scalable stream processing platforms. Distributed Stream Processing Systems (DSP...

Benchmarking Distributed Stream Data Processing Systems

The need for scalable and efficient stream analysis has led to the development of many open-source streaming data processing systems (SDPSs) with highly diverging capabilities and performance characteristics. While first initiatives try to compare the systems for simple workloads, there is a clear gap of detailed analyses of the systems’ performance characteristics. In this paper, we propose a ...

Demo: YABench - Yet Another RDF Stream Processing Benchmark