ABSTRACT
Optimization of Traffic and Emergency Procedures . . . . 211 7.5.3 Online Translation on HPC Resources . . . . . . . . . . . . . . . . . . 214 7.5.4 Monitoring of Objects Using Mobile Devices . . . . . . . . . . . 214
7.6 A Script-Based Workflow Application for Parallel Data Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218
7.7 Modeling Performance in BeesyCluster . . . . . . . . . . . . . . . . . . . . . . . . . . 225 7.7.1 Overhead of the BeesyCluster Workflow Solution . . . . . . 226 7.7.2 Modeling Performance of Applications . . . . . . . . . . . . . . . . . . 227
This chapter presents selected approaches and patterns in modeling practical workflow applications using the proposed models. Then practical workflow applications from various fields are presented along with expected and obtained performance results. It should be noted that the presented workflow applications can be of a specific nature such, as scientific-numerical computations (Section 7.2.2), business-production (Section 7.3) but also involving both business and scientific types of services, e.g., in a workflow for planning interdisciplinary projects (Section 7.4) or online translation on HPC resources (Section 7.5.3).
