Cloudburst - Simulating Workload for IaaS Clouds

Johannes Kroß and Andreas Wolke

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, pp. 841–848

June 2014 · doi: 10.1109/CLOUD.2014.116


In this work we implemented Cloudburst to generate realistic workload in Infrastructure as a Service cloud testbeds. Our goal was to minimize the memory footprint of such workload generators by leveraging alternative programming paradigms for highly concurrent applications. In contrast to many existing we leverage the concurrency model of the Go programming language instead of threads. Initial benchmarks with Cloudburst and Rain suggest that Cloudburst consumes significantly less memory at the cost of a higher CPU footprint. In our experimental testbed memory is a more critical resource. Leveraging Cloudburst allows us to run larger benchmarks with the same hardware.

subject terms: benchmark, Benchmark testing, cloud computing, Cloudburst, Clouds, concurrency control, Generators, Go programming language concurrency model, IaaS clouds, infrastructure as a service cloud testbeds, Java, load driver, memory footprint minimization, Message systems, Rain, Servers, virtual machines