Name
Abstract | ||
|---|---|---|
Understanding quality of services in general, and of cloud storage services in particular, is often crucial. Previous proposals to benchmark storage services are too restricted to cover the full variety of NoSQL stores, or else too simplistic to capture properties of use by realistic applications; they also typically measure only one facet of the complex tradeoffs between different qualities of service. In this paper, we present BenchFoundry which is not a benchmark itself but rather is a benchmarking framework that can execute arbitrary application-driven benchmark workloads in a distributed deployment while measuring multiple qualities at the same time. BenchFoundry can be used or extended for every kind of storage service. Specifically, BenchFoundry is the first system where workload specifications become mere configuration files instead of code. In our design, we have put special emphasis on ease-of-use and deterministic repeatability of benchmark runs which is achieved through a trace-based workload model. |
Year | Venue | Field |
|---|---|---|
2017 | ICSOC | Services computing,Data mining,Software deployment,Computer science,Workload,Quality of service,NoSQL,Benchmarking,Cloud storage,Database |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
12 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Bermbach | 1 | 179 | 19.86 |
| Jörn Kuhlenkamp | 2 | 45 | 5.53 |
| Akon Dey | 3 | 41 | 4.20 |
| Arunmoezhi Ramachandran | 4 | 10 | 2.26 |
| Alan David Fekete | 5 | 1610 | 201.97 |
| Stefan Tai | 6 | 50 | 6.13 |