Demystifying cloud benchmarking
The popularity of online services has grown exponentially, spurring great interest in improving server hardware and software. However, conducting research on servers has traditionally been challenging due to the complexity of setting up representative server configurations and measuring their performance. Recent work has eased the effort of benchmarking servers by making benchmarking software and benchmarking instructions readily available to the research community. Unfortunately, the existing benchmarks are a black box; their users are expected to trust the design decisions made in the construction of these benchmarks with little justification and few cited sources. In this work, we have attempted to overcome this problem by building new server benchmarks for three popular network intensive workloads: video streaming, web serving, and object caching. This paper documents the benchmark construction process, describes the software, and provides the resources we used to justify the design decisions that make our benchmarks representative for system level studies.
2016 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)