Using moldability to improve the performance of supercomputer jobs
Journal of Parallel and Distributed Computing
When the Herd Is Smart: Aggregate Behavior in the Selection of Job Request
IEEE Transactions on Parallel and Distributed Systems
The Impact of More Accurate Requested Runtimes on Production Job Scheduling Performance
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
The Forgotten Factor: Facts on Performance Evaluation and Its Dependence on Workloads
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Workload Modeling for Performance Evaluation
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
Measuring Scalability of Resource Management Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 1 - Volume 02
Efficient Subtorus Processor Allocation in a Multi-Dimensional Torus
HPCASIA '05 Proceedings of the Eighth International Conference on High-Performance Computing in Asia-Pacific Region
Analysis and modeling of job arrivals in a production grid
ACM SIGMETRICS Performance Evaluation Review
Locality of sampling and diversity in parallel system workloads
Proceedings of the 21st annual international conference on Supercomputing
Modeling correlated workloads by combining model based clustering and a localized sampling algorithm
Proceedings of the 21st annual international conference on Supercomputing
Allocation strategies for utilization of space-shared resources in Bag of Tasks grids
Future Generation Computer Systems
Scheduling grid tasks under uncertain demands
Proceedings of the 2008 ACM symposium on Applied computing
Workload dynamics on clusters and grids
The Journal of Supercomputing
Incentives to Tight the Runtime Estimates of EASY Backfilling
ICDCN '09 Proceedings of the 10th International Conference on Distributed Computing and Networking
An analysis of clustered failures on large supercomputing systems
Journal of Parallel and Distributed Computing
Modeling job arrivals in a data-intensive grid
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
On grid performance evaluation using synthetic workloads
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Towards characterizing cloud backend workloads: insights from Google compute clusters
ACM SIGMETRICS Performance Evaluation Review
A job self-scheduling policy for HPC infrastructures
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
Instability in parallel job scheduling simulation: the role of workload flurries
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Risk aware overbooking for commercial grids
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
Modeling and synthesizing task placement constraints in Google compute clusters
Proceedings of the 2nd ACM Symposium on Cloud Computing
Job failures in high performance computing systems: A large-scale empirical study
Computers & Mathematics with Applications
A dynamic energy conservation scheme for clusters in computing centers
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
Parallel computer workload modeling with markov chains
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
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
Workload characteristics of a multi-cluster supercomputer
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Modeling user runtime estimates
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
An early comparison of commercial and open-source cloud platforms for scientific environments
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Towards realistic benchmarks for virtual infrastructure resource allocators
Proceedings of the Asia-Pacific Workshop on Systems
Towards realistic benchmarks for virtual infrastructure resource allocators
APSys'12 Proceedings of the Third ACM SIGOPS Asia-Pacific conference on Systems
Energy-aware job scheduler for high-performance computing
Computer Science - Research and Development
Configurable performance analysis and evaluation framework for cloud systems
International Journal of Information and Communication Technology
Improving cloud infrastructure utilization through overbooking
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Cloudy with a Chance of Load Spikes: Admission Control with Fuzzy Risk Assessments
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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As with any computer system, the performance of supercomputers depends upon the workloads that serve as their input. Unfortunately, however, there are many important aspects of the supercomputer workloads that have not been modeled, or that have been modeled only incipiently. This paper attacks this problem by considering requested time (and its relation with execution time) and the possibility of job cancellation, two aspects of the supercomputer workload that have not been modeled yet. Moreover, we also improve upon existing models for the arrival instant and partition size.