Description
At EGEE-08, EGEE director raised three questions: "How can we reduce the effort required to operate this expanding infrastructure?", "How do we match the expectations of the growing user communities?" and "Will we have a European Infrastructure by the end of 2009?". Some grid research themes are extremely relevant to these questions: fault diagnosis, detection, and tolerance are obviously related to operations; Quality of service (QoS) oriented resource allocation is critical for user satisfaction; both are required to ensure organised resource sharing and avoid fragmentation based on national or community resource ownership.
This session will provide insights on new and exciting work contributing to the above-mentioned goals. As a grid research session, the talks will focus on methods and proof of concepts more than finalised products. Nonetheless, realistic hypothesis and quantitative evaluations are present in all the contributions, thus connecting these works with the day-to-day problems. Benchmarking, which is the basis of a quantitative approach of middleware design, is exemplified. The potential of a Machine Learning (a sub-discipline of Artificial Intelligence) is demonstrated in the areas of, on one hand QoS, and on the other hand, fault diagnosis. Finally, QoS is also addressed through the SLA framework, in a work proposing a new paradigm for resource allocation, which is a hot topic in both grid and cloud research.
