problem

Grid computing model is batch-oriented and does not support a number of import use-cases. Due to scale and complexity of the infrastructure the reliability and performance of the Grid is varying in time. The Quality of Service is variable and insufficient.

use cases

• sequences of jobs: parameter sweep and iterative applications (xmipp)
• unbalanced/unknown distribution of job duration (itu)
• man-in-the-loop: interactive batch applications (HEP analysis)
• sharing resources: local + grid

infrastructure

• LCG monitoring snapshot
• statistics

Quality of Service

• monitoring statistics, variations,...
• predictibility, shortened turn-around time...

user-level scheduling

• automatically deployed
• useful for non communication-intensive parallel applications
• dynamic load balancing, error recovery, ...

success stories

research roadmap

• define the Quality Of Service parameters such as predictability
• define the time-window model for grid computing (also taking into account local resources)
• investigate the impact of user-level scheduling on the fair-share

-- JakubMoscicki - 05 Oct 2006

• CGW-2006-DIANE-landscape-100cm.sxd: CGW-2006-DIANE-landscape-100cm.sxd

• CGW-2006-DIANE.sxd: CGW-2006-DIANE.sxd