Name
Title | ||
|---|---|---|
Platform-independent modeling and prediction of application resource usage characteristics |
Abstract | ||
|---|---|---|
Application resource usage models can be used in the decision making process for ensuring quality-of-service as well as for capacity planning, apart from their general use in performance modeling, optimization, and systems management. Current solutions for modeling application resource usage tend to address parts of the problem by either focusing on a specific application, or a specific platform, or on a small subset of system resources. We propose a simple and flexible approach for modeling application resource usage in a platform-independent manner that enables the prediction of application resource usage on unseen platforms. The technique proposed is application agnostic, requiring no modification to the application (binary or source) and no knowledge of application-semantics. We implement a Linux-based prototype and evaluate it using four different workloads including real-world applications and benchmarks. Our experiments reveal prediction errors that are bound within 6-24% of the observed for these workloads when using the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.jss.2009.07.020 | Journal of Systems and Software |
Keywords | Field | DocType |
resource model,application resource usage characteristic,real-world application,platform-independent resource model,application agnostic,qos management,different workloads,prediction error,application resource usage,application resource usage model,performance modeling,flexible approach,platform-independent modeling,resource usage prediction,system resource,specific application,quality of service,decision making process,system management | Data mining,Systems engineering,Computer science,Capacity planning,Human resource management system,Systems management,Decision-making,Distributed computing,Binary number,Qos management | Journal |
Volume | Issue | ISSN |
82 | 12 | The Journal of Systems & Software |
Citations | PageRank | References |
8 | 0.65 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuichi Shimizu | 1 | 62 | 5.75 |
| Raju Rangaswami | 2 | 750 | 41.17 |
| Hector A. Duran-Limon | 3 | 117 | 15.20 |
| Manuel Corona-perez | 4 | 134 | 11.36 |