Kevin Bruhwiler

According to our database, Kevin Bruhwiler authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

Accelerating Cloud-Native Databases with Distributed PMem Stores.

Jason Sun, Haoxiang Ma, Li Zhang, Huicong Liu, Haiyang Shi, Shangyu Luo, Kai Wu, Kevin Bruhwiler, Cheng Zhu, Yuanyuan Nie, Jianjun Chen, Lei Zhang, Yuming Liang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Improving Blockchain Resilience to Network Partitioning by Sharding (Poster).

Juncheng Fang, Farzad Habibi, Kevin Bruhwiler, Fayzah Alshammari, Faisal Nawab

Proceedings of the 5th International Symposium on Foundations and Applications of Blockchain 2022, 2022

Analyzing Soft and Hard Partitions of Global-Scale Blockchain Systems (Poster).

Kevin Bruhwiler, Fayzah Alshammari, Farzad Habibi, Juncheng Fang, Faisal Nawab

Proceedings of the 5th International Symposium on Foundations and Applications of Blockchain 2022, 2022

PeloPartition: Improving Blockchain Resilience to Network Partitioning.

Juncheng Fang, Farzad Habibi, Kevin Bruhwiler, Fayzah Alshammari, Abhishek A. Singh, Yinan Zhou, Faisal Nawab

Proceedings of the IEEE International Conference on Blockchain, 2022

Analyzing Soft and Hard Partitions of Global-Scale Blockchain Systems.

Kevin Bruhwiler, Fayzah Alshammari, Farzad Habibi, Juncheng Fang, Yinan Zhou, Abhishek A. Singh, Ahmad Showail, Faisal Nawab

Proceedings of the IEEE International Conference on Blockchain, 2022

2020

Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads.

Daniel Rammer, Kevin Bruhwiler, Paahuni Khandelwal, Samuel Armstrong, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections.

Kevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets.

Kevin Bruhwiler, Thilina Buddhika, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020

2019

Aperture: Fast Visualizations Over Spatiotemporal Datasets.

Kevin Bruhwiler, Shrideep Pallickara

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019

Rapid, Progressive Sub-Graph Explorations for Interactive Visual Analytics over Large-Scale Graph Datasets.

Samuel Armstrong, Kevin Bruhwiler, Sangmi Lee Pallickara

Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019