Evaluation of design choices for gang scheduling using distributed hierarchical control
Journal of Parallel and Distributed Computing
IEEE Transactions on Parallel and Distributed Systems
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Job-Length Estimation and Performance in Backfilling Schedulers
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Experimental Analysis of the Root Causes of Performance Evaluation Results: A Backfilling Case Study
IEEE Transactions on Parallel and Distributed Systems
A runtime resolution scheme for priority boost conflict in implicit coscheduling
The Journal of Supercomputing
A Co-Plot analysis of logs and models of parallel workloads
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Development of scheduling strategies with Genetic Fuzzy systems
Applied Soft Computing
Secretly monopolizing the CPU without superuser privileges
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Co-allocation with Communication Considerations in Multi-cluster Systems
Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
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
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
An experimental approach for job scheduling optimizationto improve the system usage efficiency
PDCN '08 Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
On advantages of scheduling using genetic fuzzy systems
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
Group-wise performance evaluation of processor co-allocation in multi-cluster systems
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
DistRM: distributed resource management for on-chip many-core systems
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Parallel job scheduling — a status report
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Reconfigurable gang scheduling algorithm
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Exploiting replication and data reuse to efficiently schedule data-intensive applications on grids
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Pitfalls in parallel job scheduling evaluation
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
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
Hi-index | 4.10 |
While a system's performance is a function of its design and implementation, the workload researchers subject the system to and the metrics they use also can affect performance evaluation results.There are two main approaches to performance evaluation: Analysis involves simplifications in the interest of mathematical tractability, and simulation offers a more realistic alternative that directly uses real workload recordings. The problems the author describes appear more frequently during simulation because of its ability to directly reflect complex situations, even those the evaluator does not know about or understand.