John Brevik

According to our database, John Brevik authored at least 29 papers between 1999 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Analyzing AWS Spot Instance Pricing.

Gareth George, Rich Wolski, Chandra Krintz, John Brevik

Proceedings of the IEEE International Conference on Cloud Engineering, 2019

2017

Probabilistic guarantees of execution duration for Amazon spot instances.

Rich Wolski, John Brevik, Ryan Chard, Kyle Chard

Proceedings of the International Conference for High Performance Computing, 2017

QPRED: Using Quantile Predictions to Improve Power Usage for Private Clouds.

Rich Wolski, John Brevik

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

Providing statistical reliability guarantees in the AWS spot tier.

Rich Wolski, John Brevik

Proceedings of the 24th High Performance Computing Symposium, 2016

2014

Using Parametric Models to Represent Private Cloud Workloads.

Richard Wolski, John Brevik

IEEE Trans. Serv. Comput., 2014

The Sum-Product Algorithm for Degree-2 Check Nodes and Trapping Sets.

John O. Brevik, Michael E. O'Sullivan

CoRR, 2014

2009

Putting Trojans on the Horns of a Dilemma: Redundancy for Information Theft Detection.

Jedidiah R. Crandall, John Brevik, Shaozhi Ye, Gary Wassermann, Daniela Alvim Seabra de Oliveira, Zhendong Su, Shyhtsun Felix Wu, Frederic T. Chong

Trans. Comput. Sci., 2009

Probabilistic Reservation Services for Large-Scale Batch-Scheduled Systems.

Daniel Nurmi, Richard Wolski, John Brevik

IEEE Syst. J., 2009

Simulation of the Sum-Product Algorithm Using Stratified Sampling.

John Brevik, Michael E. O'Sullivan, Anya Umlauf, Richard Wolski

Proceedings of the Applied Algebra, 2009

2008

Probabilistic advanced reservations for batch-scheduled parallel machines.

Daniel Nurmi, Richard Wolski, John Brevik

Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2008

VARQ: virtual advance reservations for queues.

Daniel Nurmi, Richard Wolski, John Brevik

Proceedings of the 17th International Symposium on High-Performance Distributed Computing (HPDC-17 2008), 2008

2007

Using Model-Based Clustering to Improve Predictions for Queueing Delay on Parallel Machines.

John Brevik, Daniel Nurmi, Richard Wolski

Parallel Process. Lett., 2007

QBETS: Queue Bounds Estimation from Time Series.

Daniel Nurmi, John Brevik, Richard Wolski

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2007

An Analysis of Availability Distributions in Condor.

Richard Wolski, Daniel Nurmi, John Brevik

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Comparing network bandwidth time-series.

Matthew S. Allen, John Brevik, Rich Wolski

Proceedings of the 1st International ICST Conference on Networks for Grid Applications, 2007

Eliciting honest value information in a batch-queue environment.

Andrew Mutz, Richard Wolski, John Brevik

Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (GRID 2007), 2007

2006

Grid scheduling and protocols - Evaluation of a workflow scheduler using integrated performance modelling and batch queue wait time prediction.

Daniel Nurmi, Anirban Mandal, John Brevik, Chuck Koelbel, Richard Wolski, Ken Kennedy

Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

Predicting bounds on queuing delay for batch-scheduled parallel machines.

John Brevik, Daniel Nurmi, Richard Wolski

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2006

Predicting Bounds on Queuing Delay in Space-shared Computing Environments.

John Brevik, Daniel Nurmi, Richard Wolski

Proceedings of the 2006 IEEE International Symposium on Workload Characterization, 2006

Fault-aware scheduling for Bag-of-Tasks applications on Desktop Grids.

Cosimo Anglano, John Brevik, Massimo Canonico, Daniel Nurmi, Richard Wolski

Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006

Predicting Grid Resource Performance Online.

Richard Wolski, Graziano Obertelli, Matthew S. Allen, Daniel Nurmi, John Brevik

Proceedings of the Handbook of Nature-Inspired and Innovative Computing, 2006

2005

Models and Modeling Infrastructures for Global Computational Platforms.

Richard Wolski, Daniel Nurmi, John Brevik, Henri Casanova, Andrew A. Chien

Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Modeling Machine Availability in Enterprise and Wide-Area Distributed Computing Environments.

Daniel Nurmi, John Brevik, Richard Wolski

Proceedings of the Euro-Par 2005, Parallel Processing, 11th International Euro-Par Conference, Lisbon, Portugal, August 30, 2005

Minimizing the Network Overhead of Checkpointing in Cycle-harvesting Cluster Environments.

Daniel Nurmi, John Brevik, Richard Wolski

Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005

2004

Automatic methods for predicting machine availability in desktop Grid and peer-to-peer systems.

John Brevik, Daniel Nurmi, Richard Wolski

Proceedings of the 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2004), 2004

2001

Writing Programs that Run EveryWare on the Computational Grid.

Richard Wolski, John Brevik, Graziano Obertelli, Neil T. Spring, Alan Su

IEEE Trans. Parallel Distributed Syst., 2001

Analyzing Market-Based Resource Allocation Strategies for the Computational Grid.

Richard Wolski, James S. Plank, John Brevik, Todd Bryan

Int. J. High Perform. Comput. Appl., 2001

G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid.

Richard Wolski, James S. Plank, John Brevik, Todd Bryan

Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

1999

Running EveryWare on the Computational Grid.

Richard Wolski, John Brevik, Chandra Krintz, Graziano Obertelli, Neil Spring, Alan Su

Proceedings of the ACM/IEEE Conference on Supercomputing, 1999