OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
September 2025
Ishai Menache
Partner Research Manager
출판물
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Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling
David Domingo, Hugo Barbalho, Marco Molinaro, Kuan Liu, Abhisek Pan, David Dion, Thomas Moscibroda, Sudarsun Kannan, Ishai Menache
OSDI 2025 | July 2025
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Large Language Models for Supply Chain Decisions
David Simchi-Levi , Konstantina Mellou, Ishai Menache, Jeevan Pathuri
July 2025
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Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li, Janardhan (Jana) Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
ICLR 2025 | February 2025
-
Efficient Cloud Server Deployment Under Demand Uncertainty
Rui Peng Liu, Konstantina Mellou, Xiao-Yue Gong, Beibin Li, Thomas Coffee, Jeevan Pathuri, David Simchi-Levi, Ishai Menache
Manufacturing & Service Operations Management | February 2025, 제 27 권(2)
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Online Rack Placement in Large-Scale Data Centers
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat, Sean Lo, Rob McDonald, Konstantina Mellou, Ishai Menache, Marco Molinaro
January 2025
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How Generative AI Improves Supply Chain Management
Ishai Menache, Jeevan Pathuri, David Simchi-Levi, Tom Linton
Harvard Business Review | January 2025, 제 104 권(1-2): pp. 86-95
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Small Language Models for Application Interactions: A Case Study
Beibin Li, Yi Zhang, Sébastien Bubeck, Jeevan Pathuri, Ishai Menache
May 2024
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
-
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
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Kerveros: Efficient and Scalable Cloud Admission Control
Sultan Mahmud Sajal, Luke Marshall, Beibin Li, Shandan Zhou, Abhisek Pan, Konstantina Mellou, Deepak Narayanan, Timothy Zhu, Thomas Moscibroda, David Dion, Ishai Menache
OSDI | July 2023
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Large Language Models for Supply Chain Optimization
Beibin Li, Konstantina Mellou, Bo Zhang, Jeevan Pathuri, Ishai Menache
July 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, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
-
DOTE: Rethinking (Predictive) WAN Traffic Engineering
Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, Aviv Tamar
NSDI | April 2023
Best Paper Award
-
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
글쓴이 Microsoft
-
-
-
Truthful Online Scheduling of Cloud Workloads under Uncertainty
Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-Wai Wong
TheWebConf 2022 | April 2022
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Online Virtual Machine Allocation with Lifetime and Load Predictions
Niv Buchbinder, Yaron Fairstein, Konstantina Mellou, Ishai Menache, Joseph (Seffi) Naor
ACM SIGMETRICS | June 2021
-
Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency
Sebastian Perez-Salazar, Ishai Menache, Mohit Singh, Alejandro Toriello
Operations Research | January 2021
ICS Student Paper Award runner-up
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Contracting Wide-area Network Topologies to Solve Flow Problems Quickly
Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis
NSDI | November 2020
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Optimizing Onsite Food Services at Scale
Konstantina Mellou, Luke Marshall, Krishna Chintalapudi, Patrick Jaillet, Ishai Menache
ACM SIGSPATIAL 2020 | November 2020
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Protean: VM Allocation Service at Scale
Ori Hadary, Luke Marshall, Ishai Menache, Abhisek Pan, David Dion, Esaias E Greeff, Star Dorminey, Shailesh Joshi, Yang Chen, Mark Russinovich, Thomas Moscibroda
OSDI | October 2020
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Multi-Itinerary Optimization as Cloud Service
Alexandru Cristian, Luke Marshall, Mihai Negrea, Flavius Stoichescu, Peiwei Cao, Ishai Menache
ACM SIGSPATIAL 2019 | November 2019
Best-paper candidate
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TeaVaR: Striking the Right Utilization-Availability Balance in WAN Traffic Engineering
Jeremy Bogle, Nikhil Bhatia, Manya Ghobadi, Ishai Menache, Nikolaj Bjørner, Asaf Valadarsky, Michael Schapira
Sigcomm 2019 | August 2019
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Models and Algorithms for Distributed Order Management
Michael Berezansky, Yaron Fairstein, Luke Marshall, Ishai Menache, Joseph (Seffi) Naor, Ola Svensson, Timur Tankayev
Models and Algorithms for Plannning and Scheduling Problems (MAPSP) | June 2019
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-
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An Algorithmic Framework for Geo-Distributed Analytics
Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Erez Timnat
International Conference on NETwork Games, COntrol and OPtimisation | November 2018
-
Netco: Cache and I/O Management for Analytics over Disaggregated Stores
Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao
ACM Symposium on Cloud Computing (SOCC) | October 2018
Best Paper Award
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Distributed Resource Management Across Process Boundaries
Lalith Suresh, Peter Bodík, Ishai Menache, Marco Canini, Florin Ciucu
Proceedings of the 2017 Symposium on Cloud Computing (SoCC) | September 2017
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ERA: a framework for economic resource allocation for the cloud
Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Ishai Menache, Nar Ganapathy, Omer Reingold, Moshe Tennenholtz, Erez Timnat
Proceedings of the 26th International Conference on World Wide Web | April 2017
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Resource Management with Deep Reinforcement Learning
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
HotNets-XV, Atlanta, GA, USA | November 2016
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Morpheus: Towards Automated SLOs for Enterprise Clusters
Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Íñigo Goiri, Subru Krishnan, Janardhan (Jana) Kulkarni, Sriram Rao
2016 International Symposium on Operating Systems Design and Implementation (OSDI) | November 2016
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Dynamic Pricing and Traffic Engineering for Timely Inter-Datacenter Transfers
Virajith Jalaparti, Ivan Bliznets, Brendan Lucier, Srikanth Kandula, Ishai Menache
Sigcomm 2016 | August 2016
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Optimizing Distributed Actor Systems for Dynamic Interactive Services
Andrew Newell, Gabriel Kliot, Ishai Menache, Aditya Gopalan, Soramichi Akiyama, Mark Silberstein
EuroSys 2016 | April 2016
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Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can
Peter Bodík, Ishai Menache, Sriram Rao, Konstantin Makarychev, Matthew Caesar
August 2015
-
Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can
Virajith Jalaparti, Peter Bodík, Ishai Menache, Sriram Rao, Konstantin Makarychev, Matthew Caesar
August 2015
-
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
-
Online Caching with Convex Costs
Ishai Menache, Mohit Singh
SPAA | June 2015
-
Truthful Online Scheduling with Commitments
Yossi Azar, Inna Kalp-Shaltiel, Brendan Lucier, Ishai Menache, Joseph Naor, Jonathan Yaniv
ACM EC | June 2015
-
Modeling non-convex costs in an LP (for traffic engineering on WANs)
Srikanth Kandula, Brendan Lucier, Ishai Menache, Mohit Singh
MSR-TR-2015-14 | February 2015
-
-
-
Big data Analytics Systems
Ganesh Ananthanarayanan, Ishai Menache
글쓴이 Cambridge University Press | 2014
-
Calendaring for Wide Area Networks
Ishai Menache, Srikanth Kandula, Roy Schwartz, Spandana Raj Babbula
ACM SIGCOMM | August 2014
-
On-demand, Spot, or Both: Dynamic Resource Allocation for Executing Batch Jobs in the Cloud
Ishai Menache, Ohad Shamir, Navendu Jain
June 2014
-
Brief Announcement: Deadline-Aware Scheduling of Big-Data Processing Jobs
Peter Bodík, Ishai Menache, Joseph (Seffi) Naor, Jonathan Yaniv
SPAA | June 2014
-
On-demand, Spot, or Both: Dynamic Resource Allocation for Executing Batch Jobs in the Cloud
Navendu Jain, Ishai Menache, Ohad Shamir
MSR-TR-2014-30 | March 2014
to appear in USENIX ICAC'14
-
-
-
Speeding up Distributed Request-Response Workflows
Virajith Jalaparti, Peter Bodík, Srikanth Kandula, Ishai Menache, Mikhail Rybalkin, Chenyu Yan
ACM SIGCOMM | August 2013
-
Efficient Online Scheduling for Deadline-Sensitive Batch Computing
Joseph Naor, Jonathan Yaniv, Ishai Menache, Brendan Lucier
SPAA | July 2013
-
Virtualizing Traffic Shapers for Practical Resource Allocation
Gautam Kumar, Srikanth Kandula, Peter Bodík, Ishai Menache
HotCloud | June 2013
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Surviving Failures in Bandwidth-Constrained Datacenters
Ishai Menache, Mosharaf Chowdhury, Pradeepkumar Mani, Dave Maltz, Peter Bodík, Ion Stoica
August 2012
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Topology-Aware VM Migration in Bandwidth Oversubscribed Datacenter Networks
Navendu Jain, Ishai Menache, Seffi Naor, F. Bruce Shepherd, Joseph Naor
ICALP (full version of the conference paper) | May 2012
This is the extended technical report, which contains several aspects that could not be included in the conference version due to lack of space.
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Near-Optimal Scheduling Mechanisms for Deadline-Sensitive Jobs
Navendu Jain, Ishai Menache, Seffi Naor, Jonathan Yaniv
SPAA | January 2012
-
-
-
Online Job-Migration for Reducing the Electricity Bill
Navendu Jain, Niv Buchbinder, Ishai Menache
Proceedings of the 10th IEEE International Conference on Networking (IFIP Networking '11) | May 2011
-
-
-
OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
September 2025
-
Large Language Models for Supply Chain Decisions
David Simchi-Levi , Konstantina Mellou, Ishai Menache, Jeevan Pathuri
July 2025
-
Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li, Janardhan (Jana) Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
ICLR 2025 | February 2025
-
How Generative AI Improves Supply Chain Management
Ishai Menache, Jeevan Pathuri, David Simchi-Levi, Tom Linton
Harvard Business Review | January 2025, 제 104 권(1-2): pp. 86-95
-
Small Language Models for Application Interactions: A Case Study
Beibin Li, Yi Zhang, Sébastien Bubeck, Jeevan Pathuri, Ishai Menache
May 2024
-
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
-
Large Language Models for Supply Chain Optimization
Beibin Li, Konstantina Mellou, Bo Zhang, Jeevan Pathuri, Ishai Menache
July 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, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
-
DOTE: Rethinking (Predictive) WAN Traffic Engineering
Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, Aviv Tamar
NSDI | April 2023
Best Paper Award
-
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
글쓴이 Microsoft
-
Resource Management with Deep Reinforcement Learning
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
HotNets-XV, Atlanta, GA, USA | November 2016
-
-
-
OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
September 2025
-
Efficient Cloud Server Deployment Under Demand Uncertainty
Rui Peng Liu, Konstantina Mellou, Xiao-Yue Gong, Beibin Li, Thomas Coffee, Jeevan Pathuri, David Simchi-Levi, Ishai Menache
Manufacturing & Service Operations Management | February 2025, 제 27 권(2)
-
Online Rack Placement in Large-Scale Data Centers
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat, Sean Lo, Rob McDonald, Konstantina Mellou, Ishai Menache, Marco Molinaro
January 2025
-
-
-
Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling
David Domingo, Hugo Barbalho, Marco Molinaro, Kuan Liu, Abhisek Pan, David Dion, Thomas Moscibroda, Sudarsun Kannan, Ishai Menache
OSDI 2025 | July 2025
-
Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
-
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 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, Thomas Moscibroda, David Dion, Ishai Menache
OSDI | July 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, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
-
DOTE: Rethinking (Predictive) WAN Traffic Engineering
Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, Aviv Tamar
NSDI | April 2023
Best Paper Award
-
Truthful Online Scheduling of Cloud Workloads under Uncertainty
Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-Wai Wong
TheWebConf 2022 | April 2022
-
Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency
Sebastian Perez-Salazar, Ishai Menache, Mohit Singh, Alejandro Toriello
Operations Research | January 2021
ICS Student Paper Award runner-up
-
Contracting Wide-area Network Topologies to Solve Flow Problems Quickly
Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis
NSDI | November 2020
-
Protean: VM Allocation Service at Scale
Ori Hadary, Luke Marshall, Ishai Menache, Abhisek Pan, David Dion, Esaias E Greeff, Star Dorminey, Shailesh Joshi, Yang Chen, Mark Russinovich, Thomas Moscibroda
OSDI | October 2020
-
TeaVaR: Striking the Right Utilization-Availability Balance in WAN Traffic Engineering
Jeremy Bogle, Nikhil Bhatia, Manya Ghobadi, Ishai Menache, Nikolaj Bjørner, Asaf Valadarsky, Michael Schapira
Sigcomm 2019 | August 2019
-
An Algorithmic Framework for Geo-Distributed Analytics
Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Erez Timnat
International Conference on NETwork Games, COntrol and OPtimisation | November 2018
-
Netco: Cache and I/O Management for Analytics over Disaggregated Stores
Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao
ACM Symposium on Cloud Computing (SOCC) | October 2018
Best Paper Award
-
Distributed Resource Management Across Process Boundaries
Lalith Suresh, Peter Bodík, Ishai Menache, Marco Canini, Florin Ciucu
Proceedings of the 2017 Symposium on Cloud Computing (SoCC) | September 2017
-
ERA: a framework for economic resource allocation for the cloud
Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Ishai Menache, Nar Ganapathy, Omer Reingold, Moshe Tennenholtz, Erez Timnat
Proceedings of the 26th International Conference on World Wide Web | April 2017
-
Resource Management with Deep Reinforcement Learning
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
HotNets-XV, Atlanta, GA, USA | November 2016
-
Morpheus: Towards Automated SLOs for Enterprise Clusters
Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Íñigo Goiri, Subru Krishnan, Janardhan (Jana) Kulkarni, Sriram Rao
2016 International Symposium on Operating Systems Design and Implementation (OSDI) | November 2016
-
Dynamic Pricing and Traffic Engineering for Timely Inter-Datacenter Transfers
Virajith Jalaparti, Ivan Bliznets, Brendan Lucier, Srikanth Kandula, Ishai Menache
Sigcomm 2016 | August 2016
-
Optimizing Distributed Actor Systems for Dynamic Interactive Services
Andrew Newell, Gabriel Kliot, Ishai Menache, Aditya Gopalan, Soramichi Akiyama, Mark Silberstein
EuroSys 2016 | April 2016
-
Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can
Peter Bodík, Ishai Menache, Sriram Rao, Konstantin Makarychev, Matthew Caesar
August 2015
-
Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can
Virajith Jalaparti, Peter Bodík, Ishai Menache, Sriram Rao, Konstantin Makarychev, Matthew Caesar
August 2015
-
Truthful Online Scheduling with Commitments
Yossi Azar, Inna Kalp-Shaltiel, Brendan Lucier, Ishai Menache, Joseph Naor, Jonathan Yaniv
ACM EC | June 2015
-
Online Caching with Convex Costs
Ishai Menache, Mohit Singh
SPAA | June 2015
-
Modeling non-convex costs in an LP (for traffic engineering on WANs)
Srikanth Kandula, Brendan Lucier, Ishai Menache, Mohit Singh
MSR-TR-2015-14 | February 2015
-
Big data Analytics Systems
Ganesh Ananthanarayanan, Ishai Menache
글쓴이 Cambridge University Press | 2014
-
Calendaring for Wide Area Networks
Ishai Menache, Srikanth Kandula, Roy Schwartz, Spandana Raj Babbula
ACM SIGCOMM | August 2014
-
Brief Announcement: Deadline-Aware Scheduling of Big-Data Processing Jobs
Peter Bodík, Ishai Menache, Joseph (Seffi) Naor, Jonathan Yaniv
SPAA | June 2014
-
Speeding up Distributed Request-Response Workflows
Virajith Jalaparti, Peter Bodík, Srikanth Kandula, Ishai Menache, Mikhail Rybalkin, Chenyu Yan
ACM SIGCOMM | August 2013
-
Efficient Online Scheduling for Deadline-Sensitive Batch Computing
Joseph Naor, Jonathan Yaniv, Ishai Menache, Brendan Lucier
SPAA | July 2013
-
Virtualizing Traffic Shapers for Practical Resource Allocation
Gautam Kumar, Srikanth Kandula, Peter Bodík, Ishai Menache
HotCloud | June 2013
-
Online Job-Migration for Reducing the Electricity Bill
Navendu Jain, Niv Buchbinder, Ishai Menache
Proceedings of the 10th IEEE International Conference on Networking (IFIP Networking '11) | May 2011
-
-
-
Efficient Cloud Server Deployment Under Demand Uncertainty
Rui Peng Liu, Konstantina Mellou, Xiao-Yue Gong, Beibin Li, Thomas Coffee, Jeevan Pathuri, David Simchi-Levi, Ishai Menache
Manufacturing & Service Operations Management | February 2025, 제 27 권(2)
-
Online Rack Placement in Large-Scale Data Centers
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat, Sean Lo, Rob McDonald, Konstantina Mellou, Ishai Menache, Marco Molinaro
January 2025
-
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, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
-
DOTE: Rethinking (Predictive) WAN Traffic Engineering
Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, Aviv Tamar
NSDI | April 2023
Best Paper Award
-
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
글쓴이 Microsoft
-
Online Virtual Machine Allocation with Lifetime and Load Predictions
Niv Buchbinder, Yaron Fairstein, Konstantina Mellou, Ishai Menache, Joseph (Seffi) Naor
ACM SIGMETRICS | June 2021
-
Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency
Sebastian Perez-Salazar, Ishai Menache, Mohit Singh, Alejandro Toriello
Operations Research | January 2021
ICS Student Paper Award runner-up
-
Optimizing Onsite Food Services at Scale
Konstantina Mellou, Luke Marshall, Krishna Chintalapudi, Patrick Jaillet, Ishai Menache
ACM SIGSPATIAL 2020 | November 2020
-
Multi-Itinerary Optimization as Cloud Service
Alexandru Cristian, Luke Marshall, Mihai Negrea, Flavius Stoichescu, Peiwei Cao, Ishai Menache
ACM SIGSPATIAL 2019 | November 2019
Best-paper candidate
-
TeaVaR: Striking the Right Utilization-Availability Balance in WAN Traffic Engineering
Jeremy Bogle, Nikhil Bhatia, Manya Ghobadi, Ishai Menache, Nikolaj Bjørner, Asaf Valadarsky, Michael Schapira
Sigcomm 2019 | August 2019
-
Models and Algorithms for Distributed Order Management
Michael Berezansky, Yaron Fairstein, Luke Marshall, Ishai Menache, Joseph (Seffi) Naor, Ola Svensson, Timur Tankayev
Models and Algorithms for Plannning and Scheduling Problems (MAPSP) | June 2019
-
An Algorithmic Framework for Geo-Distributed Analytics
Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Erez Timnat
International Conference on NETwork Games, COntrol and OPtimisation | November 2018
-
Netco: Cache and I/O Management for Analytics over Disaggregated Stores
Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao
ACM Symposium on Cloud Computing (SOCC) | October 2018
Best Paper Award
-
ERA: a framework for economic resource allocation for the cloud
Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Ishai Menache, Nar Ganapathy, Omer Reingold, Moshe Tennenholtz, Erez Timnat
Proceedings of the 26th International Conference on World Wide Web | April 2017
-
Truthful Online Scheduling with Commitments
Yossi Azar, Inna Kalp-Shaltiel, Brendan Lucier, Ishai Menache, Joseph Naor, Jonathan Yaniv
ACM EC | June 2015
-
Online Caching with Convex Costs
Ishai Menache, Mohit Singh
SPAA | June 2015
-
Modeling non-convex costs in an LP (for traffic engineering on WANs)
Srikanth Kandula, Brendan Lucier, Ishai Menache, Mohit Singh
MSR-TR-2015-14 | February 2015
-
Near-Optimal Scheduling Mechanisms for Deadline-Sensitive Jobs
Navendu Jain, Ishai Menache, Seffi Naor, Jonathan Yaniv
SPAA | January 2012
-
-
-
Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
-
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
-
On-demand, Spot, or Both: Dynamic Resource Allocation for Executing Batch Jobs in the Cloud
Ishai Menache, Ohad Shamir, Navendu Jain
June 2014
-
On-demand, Spot, or Both: Dynamic Resource Allocation for Executing Batch Jobs in the Cloud
Navendu Jain, Ishai Menache, Ohad Shamir
MSR-TR-2014-30 | March 2014
to appear in USENIX ICAC'14
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Speeding up Distributed Request-Response Workflows
Virajith Jalaparti, Peter Bodík, Srikanth Kandula, Ishai Menache, Mikhail Rybalkin, Chenyu Yan
ACM SIGCOMM | August 2013
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Surviving Failures in Bandwidth-Constrained Datacenters
Ishai Menache, Mosharaf Chowdhury, Pradeepkumar Mani, Dave Maltz, Peter Bodík, Ion Stoica
August 2012
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Online Job-Migration for Reducing the Electricity Bill
Navendu Jain, Niv Buchbinder, Ishai Menache
Proceedings of the 10th IEEE International Conference on Networking (IFIP Networking '11) | May 2011
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Truthful Online Scheduling with Commitments
Yossi Azar, Inna Kalp-Shaltiel, Brendan Lucier, Ishai Menache, Joseph Naor, Jonathan Yaniv
ACM EC | June 2015
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Modeling non-convex costs in an LP (for traffic engineering on WANs)
Srikanth Kandula, Brendan Lucier, Ishai Menache, Mohit Singh
MSR-TR-2015-14 | February 2015
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Efficient Online Scheduling for Deadline-Sensitive Batch Computing
Joseph Naor, Jonathan Yaniv, Ishai Menache, Brendan Lucier
SPAA | July 2013
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Topology-Aware VM Migration in Bandwidth Oversubscribed Datacenter Networks
Navendu Jain, Ishai Menache, Seffi Naor, F. Bruce Shepherd, Joseph Naor
ICALP (full version of the conference paper) | May 2012
This is the extended technical report, which contains several aspects that could not be included in the conference version due to lack of space.
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OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
September 2025
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Large Language Models for Supply Chain Decisions
David Simchi-Levi , Konstantina Mellou, Ishai Menache, Jeevan Pathuri
July 2025
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Online Rack Placement in Large-Scale Data Centers
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat, Sean Lo, Rob McDonald, Konstantina Mellou, Ishai Menache, Marco Molinaro
January 2025
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Small Language Models for Application Interactions: A Case Study
Beibin Li, Yi Zhang, Sébastien Bubeck, Jeevan Pathuri, Ishai Menache
May 2024
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Large Language Models for Supply Chain Optimization
Beibin Li, Konstantina Mellou, Bo Zhang, Jeevan Pathuri, Ishai Menache
July 2023
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Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling
David Domingo, Hugo Barbalho, Marco Molinaro, Kuan Liu, Abhisek Pan, David Dion, Thomas Moscibroda, Sudarsun Kannan, Ishai Menache
OSDI 2025 | July 2025
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Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li, Janardhan (Jana) Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
ICLR 2025 | February 2025
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
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Kerveros: Efficient and Scalable Cloud Admission Control
Sultan Mahmud Sajal, Luke Marshall, Beibin Li, Shandan Zhou, Abhisek Pan, Konstantina Mellou, Deepak Narayanan, Timothy Zhu, Thomas Moscibroda, David Dion, Ishai Menache
OSDI | July 2023
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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, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
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DOTE: Rethinking (Predictive) WAN Traffic Engineering
Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, Aviv Tamar
NSDI | April 2023
Best Paper Award
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Truthful Online Scheduling of Cloud Workloads under Uncertainty
Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-Wai Wong
TheWebConf 2022 | April 2022
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Online Virtual Machine Allocation with Lifetime and Load Predictions
Niv Buchbinder, Yaron Fairstein, Konstantina Mellou, Ishai Menache, Joseph (Seffi) Naor
ACM SIGMETRICS | June 2021
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Contracting Wide-area Network Topologies to Solve Flow Problems Quickly
Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis
NSDI | November 2020
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Optimizing Onsite Food Services at Scale
Konstantina Mellou, Luke Marshall, Krishna Chintalapudi, Patrick Jaillet, Ishai Menache
ACM SIGSPATIAL 2020 | November 2020
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Protean: VM Allocation Service at Scale
Ori Hadary, Luke Marshall, Ishai Menache, Abhisek Pan, David Dion, Esaias E Greeff, Star Dorminey, Shailesh Joshi, Yang Chen, Mark Russinovich, Thomas Moscibroda
OSDI | October 2020
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Multi-Itinerary Optimization as Cloud Service
Alexandru Cristian, Luke Marshall, Mihai Negrea, Flavius Stoichescu, Peiwei Cao, Ishai Menache
ACM SIGSPATIAL 2019 | November 2019
Best-paper candidate
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TeaVaR: Striking the Right Utilization-Availability Balance in WAN Traffic Engineering
Jeremy Bogle, Nikhil Bhatia, Manya Ghobadi, Ishai Menache, Nikolaj Bjørner, Asaf Valadarsky, Michael Schapira
Sigcomm 2019 | August 2019
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Models and Algorithms for Distributed Order Management
Michael Berezansky, Yaron Fairstein, Luke Marshall, Ishai Menache, Joseph (Seffi) Naor, Ola Svensson, Timur Tankayev
Models and Algorithms for Plannning and Scheduling Problems (MAPSP) | June 2019
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An Algorithmic Framework for Geo-Distributed Analytics
Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Erez Timnat
International Conference on NETwork Games, COntrol and OPtimisation | November 2018
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Netco: Cache and I/O Management for Analytics over Disaggregated Stores
Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao
ACM Symposium on Cloud Computing (SOCC) | October 2018
Best Paper Award
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Distributed Resource Management Across Process Boundaries
Lalith Suresh, Peter Bodík, Ishai Menache, Marco Canini, Florin Ciucu
Proceedings of the 2017 Symposium on Cloud Computing (SoCC) | September 2017
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ERA: a framework for economic resource allocation for the cloud
Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Ishai Menache, Nar Ganapathy, Omer Reingold, Moshe Tennenholtz, Erez Timnat
Proceedings of the 26th International Conference on World Wide Web | April 2017
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Resource Management with Deep Reinforcement Learning
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
HotNets-XV, Atlanta, GA, USA | November 2016
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Morpheus: Towards Automated SLOs for Enterprise Clusters
Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Íñigo Goiri, Subru Krishnan, Janardhan (Jana) Kulkarni, Sriram Rao
2016 International Symposium on Operating Systems Design and Implementation (OSDI) | November 2016
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Dynamic Pricing and Traffic Engineering for Timely Inter-Datacenter Transfers
Virajith Jalaparti, Ivan Bliznets, Brendan Lucier, Srikanth Kandula, Ishai Menache
Sigcomm 2016 | August 2016
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Optimizing Distributed Actor Systems for Dynamic Interactive Services
Andrew Newell, Gabriel Kliot, Ishai Menache, Aditya Gopalan, Soramichi Akiyama, Mark Silberstein
EuroSys 2016 | April 2016
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Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can
Peter Bodík, Ishai Menache, Sriram Rao, Konstantin Makarychev, Matthew Caesar
August 2015
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Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
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Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can
Virajith Jalaparti, Peter Bodík, Ishai Menache, Sriram Rao, Konstantin Makarychev, Matthew Caesar
August 2015
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Truthful Online Scheduling with Commitments
Yossi Azar, Inna Kalp-Shaltiel, Brendan Lucier, Ishai Menache, Joseph Naor, Jonathan Yaniv
ACM EC | June 2015
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Online Caching with Convex Costs
Ishai Menache, Mohit Singh
SPAA | June 2015
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Calendaring for Wide Area Networks
Ishai Menache, Srikanth Kandula, Roy Schwartz, Spandana Raj Babbula
ACM SIGCOMM | August 2014
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On-demand, Spot, or Both: Dynamic Resource Allocation for Executing Batch Jobs in the Cloud
Ishai Menache, Ohad Shamir, Navendu Jain
June 2014
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Brief Announcement: Deadline-Aware Scheduling of Big-Data Processing Jobs
Peter Bodík, Ishai Menache, Joseph (Seffi) Naor, Jonathan Yaniv
SPAA | June 2014
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Speeding up Distributed Request-Response Workflows
Virajith Jalaparti, Peter Bodík, Srikanth Kandula, Ishai Menache, Mikhail Rybalkin, Chenyu Yan
ACM SIGCOMM | August 2013
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Efficient Online Scheduling for Deadline-Sensitive Batch Computing
Joseph Naor, Jonathan Yaniv, Ishai Menache, Brendan Lucier
SPAA | July 2013
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Virtualizing Traffic Shapers for Practical Resource Allocation
Gautam Kumar, Srikanth Kandula, Peter Bodík, Ishai Menache
HotCloud | June 2013
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Surviving Failures in Bandwidth-Constrained Datacenters
Ishai Menache, Mosharaf Chowdhury, Pradeepkumar Mani, Dave Maltz, Peter Bodík, Ion Stoica
August 2012
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Topology-Aware VM Migration in Bandwidth Oversubscribed Datacenter Networks
Navendu Jain, Ishai Menache, Seffi Naor, F. Bruce Shepherd, Joseph Naor
ICALP (full version of the conference paper) | May 2012
This is the extended technical report, which contains several aspects that could not be included in the conference version due to lack of space.
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Near-Optimal Scheduling Mechanisms for Deadline-Sensitive Jobs
Navendu Jain, Ishai Menache, Seffi Naor, Jonathan Yaniv
SPAA | January 2012
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Online Job-Migration for Reducing the Electricity Bill
Navendu Jain, Niv Buchbinder, Ishai Menache
Proceedings of the 10th IEEE International Conference on Networking (IFIP Networking '11) | May 2011
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Efficient Cloud Server Deployment Under Demand Uncertainty
Rui Peng Liu, Konstantina Mellou, Xiao-Yue Gong, Beibin Li, Thomas Coffee, Jeevan Pathuri, David Simchi-Levi, Ishai Menache
Manufacturing & Service Operations Management | February 2025, 제 27 권(2)
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How Generative AI Improves Supply Chain Management
Ishai Menache, Jeevan Pathuri, David Simchi-Levi, Tom Linton
Harvard Business Review | January 2025, 제 104 권(1-2): pp. 86-95
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Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency
Sebastian Perez-Salazar, Ishai Menache, Mohit Singh, Alejandro Toriello
Operations Research | January 2021
ICS Student Paper Award runner-up
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MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
글쓴이 Microsoft
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Modeling non-convex costs in an LP (for traffic engineering on WANs)
Srikanth Kandula, Brendan Lucier, Ishai Menache, Mohit Singh
MSR-TR-2015-14 | February 2015
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On-demand, Spot, or Both: Dynamic Resource Allocation for Executing Batch Jobs in the Cloud
Navendu Jain, Ishai Menache, Ohad Shamir
MSR-TR-2014-30 | March 2014
to appear in USENIX ICAC'14
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Big data Analytics Systems
Ganesh Ananthanarayanan, Ishai Menache
글쓴이 Cambridge University Press | 2014
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