The MicroGrid: a scientific tool for modeling computational gridsr
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Clustering Algorithms
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Overview of a Performance Evaluation System for Global Computing Scheduling Algorithms
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Improving Cluster Utilization through Set Based Allocation Policies
ICPPW '01 Proceedings of the 2001 International Conference on Parallel Processing Workshops
Build-and-Test Workloads for Grid Middleware: Problem, Analysis, and Applications
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
A distributed job scheduling and flow management system
ACM SIGOPS Operating Systems Review
Enabling Interoperability among Meta-Schedulers
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Future Generation Computer Systems
Inter-operating grids through Delegated MatchMaking
Scientific Programming - Large-Scale Programming Tools and Environments
Grid broker selection strategies using aggregated resource information
Future Generation Computer Systems
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Grid meta-broker is a key enabler in realizing the full potential of inter-operating grid computing systems. A challenge to properly evaluate the effectiveness of meta-brokers is the complexity of developing a realistic grid experimental environment. In this paper, this challenge is addressed by a unique combination of two approaches: using reduced workload traces to demonstrate the resource matching and scheduling functions of the meta-broker, and using emulation to provide a flexible and scalable modeling and management for local resources of a grid environment. Real workload traces are reduced while preserving their key workload characteristics to allow exploration of various dimensions of meta-broker functions in reasonable time. Evaluation of round-robin, queue-length, and utilization based meta-broker scheduling algorithms shows that they have different effects on various workloads.