Luke Marshall

According to our database, Luke Marshall authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

Temporal Bin Packing with Half-Capacity Jobs.

Christopher Muir, Luke Marshall, Alejandro Toriello

INFORMS J. Optim., January, 2024

Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem.

Xuting Liu, Behnaz Arzani, Siva Kesava Reddy Kakarla, Liangyu Zhao, Vincent Liu, Miguel Castro, Srikanth Kandula, Luke Marshall

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

2023

Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service.

Arnd Christian König, Yi Shan, Karan Newatia, Luke Marshall, Vivek R. Narasayya

Proc. VLDB Endow., 2023

Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem.

Behnaz Arzani, Siva Kesava Reddy Kakarla, Miguel Castro, Srikanth Kandula, Saeed Maleki, Luke Marshall

CoRR, 2023

Kerveros: Efficient and Scalable Cloud Admission Control.

Sultan Mahmud Sajal, Luke Marshall, Beibin Li, Shandan Zhou, Abhisek Pan, Konstantina Mellou, Deepak Narayanan, Timothy Zhu, David Dion, Thomas Moscibroda, Ishai Menache

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Hyrax: Fail-in-Place Server Operation in Cloud Platforms.

Jialun Lyu, Marisa You, Celine Irvene, Mark Jung, Tyler Narmore, Jacob Shapiro, Luke Marshall, Savyasachi Samal, Ioannis Manousakis, Lisa Hsu, Preetha Subbarayalu, Ashish Raniwala, Brijesh Warrier, Ricardo Bianchini, Bianca Schroeder, Daniel S. Berger

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Virtual Machine Allocation with Lifetime Predictions.

Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro, Abhisek Pan, Eli Cortez, Matheus Leao, Harsh Patwari, Zuzu Tang, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Hindsight Learning for MDPs with Exogenous Inputs.

Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo de Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan

Proceedings of the International Conference on Machine Learning, 2023

2021

Interval-Based Dynamic Discretization Discovery for Solving the Continuous-Time Service Network Design Problem.

Luke Marshall, Natashia Boland, Martin W. P. Savelsbergh, Mike Hewitt

Transp. Sci., 2021

Multi-itinerary optimization as cloud service.

Alexandru Cristian, Luke Marshall, Mihai Negrea, Flavius Stoichescu, Peiwei Cao, Ishai Menache

Commun. ACM, 2021

2020

Protean: VM Allocation Service at Scale.

Ori Hadary, Luke Marshall, Ishai Menache, Abhisek Pan, Esaias E. Greeff, David Dion, Star Dorminey, Shailesh Joshi, Yang Chen, Mark Russinovich, Thomas Moscibroda

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Optimizing Onsite Food Services at Scale.

Konstantina Mellou, Luke Marshall, Krishna Chintalapudi, Patrick Jaillet, Ishai Menache

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019

The price of discretizing time: a study in service network design.

Natashia Boland, Mike Hewitt, Luke Marshall, Martin W. P. Savelsbergh

EURO J. Transp. Logist., 2019

Multi-Itinerary Optimization as Cloud Service (Industrial Paper).

Alexandru Cristian, Luke Marshall, Mihai Negrea, Flavius Stoichescu, Peiwei Cao, Ishai Menache

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018

Dynamic and continuous-time service network design.

Luke Marshall

PhD thesis, 2018

2017

The Continuous-Time Service Network Design Problem.

Natashia Boland, Mike Hewitt, Luke Marshall, Martin W. P. Savelsbergh

Oper. Res., 2017