Name
Abstract | ||
|---|---|---|
Stream computing is an emerging computational model for performing complex operations on and across multi-source, high volume data ?ows. Given that the deployment of the model has only started, the pool of mature applications employing this model is fairly small, and therefore the availability of workloads for various types of applications is scarce. Thus, there is a need for synthetic generation of large-scale workloads for evaluation of stream computing applications at scale. This paper presents a framework for producing synthetic workloads for stream computing systems. Our framework extends known random graph generation concepts with stream computing spe-cific features, providing researchers with realistic input stream graphs and allowing them to focus on system development, optimization and analysis. Serving the goal of covering a disparity of potential applications, the presented framework exhibits high user-controlled configurability. The produced workloads could be used to drive simulations for performance evaluation and for proof-of-concept prototyping of processing, networking and operating system hardware and software. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/MASCOTS.2011.54 | MASCOTS |
Keywords | Field | DocType |
flexible workload generator,realistic input stream graph,high user-controlled configurability,stream computing application,high volume data,stream computing system,large-scale workloads,stream computing spe-cific feature,stream computing,computational model,synthetic workloads,simulating stream computing systems,graph theory,real time systems,data models,data model,kernel,computer model,system analysis,computational modeling,generators,parallel processing,solid modeling | Graph theory,Kernel (linear algebra),Data modeling,Software deployment,Random graph,Computer science,Stream,Real-time computing,Software,Solid modeling,Distributed computing | Conference |
Citations | PageRank | References |
5 | 0.47 | 14 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deepak Ajwani | 1 | 188 | 22.30 |
| Shoukat Ali | 2 | 979 | 60.87 |
| Kostas Katrinis | 3 | 102 | 19.41 |
| Cheng-Hong Li | 4 | 79 | 5.98 |
| Alfred J. Park | 5 | 35 | 4.53 |
| John P. Morrison | 6 | 262 | 45.28 |
| Eugen Schenfeld | 7 | 296 | 38.01 |