CloudProphet: towards application performance prediction in cloud

Choosing the best-performing cloud for one's application is a critical problem for potential cloud customers. We propose CloudProphet, a trace-and-replay tool to predict a legacy application's performance if migrated to a cloud infrastructure. CloudProphet traces the workload of the application when running locally, and replays the same workload in the cloud for prediction. We discuss two key technical challenges in designing CloudProphet, and some preliminary results using a prototype implementation.

[1]  Anoop Gupta,et al.  The SPLASH-2 programs: characterization and methodological considerations , 1995, ISCA.

[2]  Jong-Deok Choi,et al.  Deterministic replay of Java multithreaded applications , 1998, SPDT '98.

[3]  Christos Faloutsos,et al.  Storage device performance prediction with CART models , 2004, The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings..

[4]  Christopher Stewart,et al.  Performance modeling and system management for multi-component online services , 2005, NSDI.

[5]  David R. O'Hallaron,et al.  //TRACE: Parallel Trace Replay with Approximate Causal Events , 2007, FAST.

[6]  Xiaowei Yang,et al.  CloudCmp: comparing public cloud providers , 2010, IMC '10.