DI-GRUBER: A Distributed Approach to Grid Resource Brokering
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Grid'5000: A Large Scale and Highly Reconfigurable Grid Experimental Testbed
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
McGrid: framework for optimizing grid middleware on multi-core processors
Proceedings of the 2007 workshop on Service-oriented computing performance: aspects, issues, and approaches
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
International Journal of High Performance Computing Applications
Speed and accuracy of network simulation in the SimGrid framework
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Future Generation Computer Systems
Reproducible testing of distributed software with middleware virtualization and simulation
PADTAD '08 Proceedings of the 6th workshop on Parallel and distributed systems: testing, analysis, and debugging
DGSim: Comparing Grid Resource Management Architectures through Trace-Based Simulation
Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
A WEB interface for HyperSim-G Grid simulation package
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
A web interface for the HyperSim-G Grid simulation package
International Journal of Web and Grid Services
Accuracy study and improvement of network simulation in the SimGrid framework
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Utility-driven solution for optimal resource allocation in computational grid
Computer Languages, Systems and Structures
Minimizing dependencies within generic classes for faster and smaller programs
Proceedings of the 24th ACM SIGPLAN conference on Object oriented programming systems languages and applications
Journal of Systems and Software
GMBS: A new middleware service for making grids interoperable
Future Generation Computer Systems
Emergent algorithms for replica location and selection in data grid
Future Generation Computer Systems
Using simulations to assess the stability and capacity of cloud computing systems
Proceedings of the 48th Annual Southeast Regional Conference
Approaches to improve the resources management in the simulator cloudsim
ICICA'10 Proceedings of the First international conference on Information computing and applications
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
Experiences in running workloads over grid3
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
GRUBER: a grid resource usage SLA broker
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Towards optimisation of the management of resources in the CloudSim simulator
International Journal of Innovative Computing and Applications
iSPD: an iconic-based modeling simulator for distributed grids
Proceedings of the 45th Annual Simulation Symposium
Dynamic Dependent Tasks Assignment for Grid Computing
International Journal of Grid and High Performance Computing
Meta-scheduling algorithms for managing inter-cloud interoperability
International Journal of High Performance Computing and Networking
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Large distributed grid systems pose new challenges in job scheduling due to complex workload characteristics and system characteristics. Due to the numerous parameters that must be considered and the complex interactions that can occur between different resource allocation policies, analytical modeling of system behavior appears impractical. Thus, we have developed the GangSim simulator to support studies of scheduling strategies in grid environments, with a particular focus on investigations of the interactions between local and community resource allocation policies. The GangSim implementation is derived in part from the Ganglia distributed monitoring framework, an implementation approach that permits mixing of simulated and real grid components. We present examples of the studies that GangSim permits, showing in particular how we can use GangSim to study the behavior of VO schedulers as a function of scheduling policy, resource usage policies, and workloads. We also present the results of experiments conducted on an operational Grid, Grid3, to evaluate GangSim's accuracy. These latter studies point to the need for more accurate modeling of various aspects of local site behavior.