Speaker
Description
3. Impact
To overcome these problems we developed an easy-to-use framework based on "pilot jobs" concept that uses only services and technologies available in EGEE. It consists of pilot jobs ("workers") and automatic job management script.
Workers are running the application code in cycle with input datasets downloaded from Storage Element using RFIO access. Output datasets are stored in output folder. To check the progress, the user only needs to list the contents of the output folder. To identify hanging jobs or the jobs that performs too slowly, the workers are periodically sending a monitoring information to SE (“heart beat”). To avoid termination of workers by queuing system, the workers are running only for limited time.
The main goal of the job management script is to maintain the defined number of active workers with detection of failed submissions, finished and waiting workers. It uses job collections to speedup the startup and automatic blacklisting of full and erroneous sites.
1. Short overview
Main goal of the simulation was to work out a unified theory of the formation of all: Jovian planets, Kuiper belt, Scattered Disc (populations of small bodies beyond the Neptune’s orbit) and Oort cloud. The simulation was based on the dynamical evolution of a large number (~10000) planetesimals treated as test particles in the proto-planetary disc. The main reason for using the grid was the need for about 40 CPU-years of computing time.
Provide a set of generic keywords that define your contribution (e.g. Data Management, Workflows, High Energy Physics)
astrophysical simulation, parameter study
4. Conclusions / Future plans
One of the expectations of grid users is that they just put their application code and input data into the grid, configure and start the processing and after the processing (with occasional checking the progress) they download the output data. In our approach we tried to get as close as possible to this expectation. The users of the astrophysical application were satisfied with our framework and we plan to use it for porting of similar applications to EGEE.
