The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Analysis of first-come-first-serve parallel job scheduling
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Enhanced Algorithms for Multi-site Scheduling
GRID '02 Proceedings of the Third International Workshop on Grid Computing
The ANL/IBM SP Scheduling System
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Job Characteristics of a Production Parallel Scientivic Workload on the NASA Ames iPSC/860
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Parallel Job Scheduling: Issues and Approaches
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The EASY - LoadLeveler API Project
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Improving First-Come-First-Serve Job Scheduling by Gang Scheduling
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Workload Modeling for Performance Evaluation
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
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
Utilization and Predictability in Scheduling the IBM SP2 with Backfilling
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
The XtreemOS jScheduler: using self-scheduling techniques in large computing architectures
LASCO'08 First USENIX Workshop on Large-Scale 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
A decentralized model for scheduling independent tasks in Federated Grids
Future Generation Computer Systems
A Survey of Cloud Platforms and Their Future
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
MaGate Simulator: A Simulation Environment for a Decentralized Grid Scheduler
APPT '09 Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies
Computational models and heuristic methods for Grid scheduling problems
Future Generation Computer Systems
On grid performance evaluation using synthetic workloads
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Towards feasible and effective load sharing in a heterogeneous computational grid
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Autonomous learning of load and traffic patterns to improve cluster utilization
ARCS'07 Proceedings of the 20th international conference on Architecture of computing systems
Using moldability to improve scheduling performance of parallel jobs on computational grid
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
A job self-scheduling policy for HPC infrastructures
JSSPP'07 Proceedings of the 13th international conference on 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
Alea 2: job scheduling simulator
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Multisite co-allocation algorithms for computational grid
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
The gain of resource delegation in distributed computing environments
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
The importance of complete data sets for job scheduling simulations
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
Job Allocation Strategies with User Run Time Estimates for Online Scheduling in Hierarchical Grids
Journal of Grid Computing
Measuring TeraGrid: workload characterization for a high-performance computing federation
International Journal of High Performance Computing Applications
International Journal of Approximate Reasoning
Investigating global behavior in computing grids
IWSOS'06/EuroNGI'06 Proceedings of the First international conference, and Proceedings of the Third international conference on New Trends in Network Architectures and Services conference on Self-Organising Systems
An enhanced grid scheduling with job priority and equitable interval job distribution
GPC'06 Proceedings of the First international conference on Advances in Grid and Pervasive Computing
The Journal of Supercomputing
Analyzing throughput and utilization on trestles
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond
TLA: Temporal look-ahead processor allocation method for heterogeneous multi-cluster systems
Journal of Parallel and Distributed Computing
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In addition to other advantages, computational Grids are considered to utilize the participating compute resources more efficiently as well as to improve the response time for user jobs. Due to the lack of common large scale global Grids and corresponding studies on Grid workloads this assumption is not yet verified. In this paper, the effect of geographical distribution of Grid resources on the machine utilization and the average response time is analyzed. To this end, simulations have been performed. The results show a significant benefit for the job scheduling quality due to the participation in a true global Grid. The average weighted response times of all submitted jobs decrease up to about 30%. The results have been verified using different workloads and Grid configurations.