Janko Heilgeist

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This paper describes a distributed meta-scheduling architecture for the DEISA grid in which site-local proxies migrate jobs between the participating sites with the aim to improve user- and administration-defined goals like job runtimes, hardware utilization, load balancing, etc. The meta-scheduler employs P2P-based algorithms to discover available(More)
The paper describes a metascheduler for high-performance computing (HPC) grids that is build upon a distributed architecture. It is modelled around cooperating peers represented by the local proxies deployed by participating sites. These proxies exchange job descriptions between themselves with the aim of improving user-, administration-, and grid-defined(More)
The MediGRID [1] project, which is part of the German e-Science initiative D-Grid, aims to provide a community Grid for researchers in the fields of bioinformatics, medical image processing, biomedical ontology, and clinical research applications. Users in the life science domain usually do not have a strong computer science background. Therefore, it is(More)
Grid computing stands for the effort undertaken mainly by computing centers to open up and combine their resources for an enhanced availability. There is a growing demand for an automatic balance of inter-infrastructure resource requests that existing middleware such as UNICORE and Globus Tool Kit is ill-suited to satisfy, as it it requires the user to(More)
We propose a distributed scheduling algorithm for HPC grids and clouds that allows users, resource providers, and grid community to participate in the scheduling decision. Its hierarchical representation of dynamically configurable criteria integrates arbitrary aspects into the process in a well-defined manner; thus, the algorithm can accommodate different(More)
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