Enhanced Algorithms for Multi-site Scheduling
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Local versus Global Schedulers with Processor Co-allocation in Multicluster Systems
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Policy Driven Heterogeneous Resource Co-Allocation with Gangmatching
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
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
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Job Superscheduler Architecture and Performance in Computational Grid Environments
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
An evaluation of the close-to-files processor and data co-allocation policy in multiclusters
CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
Future Generation Computer Systems
Dynamic photonic lightpaths in the StarPlane network
Future Generation Computer Systems
Large-Scale Parallel Computing on Grids
Electronic Notes in Theoretical Computer Science (ENTCS)
Supporting adaptable applications in grid resource management systems
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
How are Real Grids Used? The Analysis of Four Grid Traces and Its Implications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Scheduling Strategies for Cycle Scavenging in Multicluster Grid Systems
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Execution support of high performance heterogeneous component-based applications on the grid
Euro-Par'06 Proceedings of the CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics conference on Parallel processing
An adaptive multisite mapping for computationally intensive grid applications
Future Generation Computer Systems
Multisite co-allocation algorithms for computational grid
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Vigne: executing easily and efficiently a wide range of distributed applications in grids
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
Online algorithms for single machine schedulers to support advance reservations from grid jobs
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
On causes of GridFTP transfer throughput variance
NDM '13 Proceedings of the Third International Workshop on Network-Aware Data Management
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In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the simultaneous allocation of resources such as processors and input .les in multiple clusters. While such jobs may have reduced runtimes because they have access to more resources, waiting for processors in multiple clusters and for the input .les to become available in the right locations, may introduce ine.ciencies. In this paper we present the design of KOALA, a prototype for processor and data co-allocation that tries to minimize these ine.ciencies through the use of its Close-to-Files placement policy and its Incremental Claiming Policy. The latter policy tries to solve the problem of a lack of support for reservation by local resource managers.