On Advantages of Grid Computing for Parallel Job Scheduling
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Non-Uniform Information Dissemination for Dynamic Grid Resource Discovery
NCA '04 Proceedings of the Network Computing and Applications, Third IEEE International Symposium
Proceedings of the 2006 ACM/SIGDA 14th international symposium on Field programmable gate arrays
Parameterized Module Scheduling Algorithm for Reconfigurable Computing Systems
ADCOM '07 Proceedings of the 15th International Conference on Advanced Computing and Communications
Inter-operating grids through delegated matchmaking
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Integration of multiple middlewares on a single computing resource
Future Generation Computer Systems
Competitive coevolutionary learning of fuzzy systems for job exchange in computational grids
Evolutionary Computation
Decentralized Grid Scheduling with Evolutionary Fuzzy Systems
Job Scheduling Strategies for Parallel Processing
Prospects of collaboration between compute providers by means of job interchange
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
Non-intrusive virtualization management using libvirt
Proceedings of the Conference on Design, Automation and Test in Europe
Costs and benefits of load sharing in the computational grid
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Nephele: Scalable Access Control for Federated File Services
Journal of Grid Computing
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Infrastructure federation is becoming an increasingly important issue for modern Distributed Computing Infrastructures (DCIs): Dynamic elasticity of quasi-static Grid environments, incorporation of special-purpose resources into commoditized Cloud infrastructures, cross-community collaboration for increasingly diverging areas of modern e-Science, and Cloud Bursting pose major challenges on the technical level for many resource and middleware providers. Especially with respect to increasing costs of operating data centers, the intelligent yet automated and secure sharing of resources is a key factor for success. With the D-Grid Scheduler Interoperability (DGSI) project within the German D-Grid Initiative, we provide a strategic technology for the automatically negotiated, SLA-secured, dynamically provisioned federation of resources and services for Grid-and Cloud-type infrastructures. This goal is achieved by complementing current DCI schedulers with the ability to federate infrastructure for the temporary leasing of resources and rechanneling of workloads. In this work, we describe the overall architecture and SLA-secured negotiation protocols within DGSI and depict an advanced mechanism for resource delegation through means of dynamically provisioned, virtualized middleware. Through this methodology, we provide the technological foundation for intelligent capacity planning and workload management in a cross-infrastructure fashion.