Cross-Examination of Datacenter Workload Modeling Techniques. - Christina Delimitrou; Christos Kozyrakis (ICDCS Workshops, 2011)

Decoupling datacenter studies from access to large-scale applications: A modeling approach for storage workloads. - Christina Delimitrou; Sriram Sankar; Kushagra Vaid; Christos Kozyrakis (IISWC, 2011)

Storage I/O generation and replay for datacenter applications. - Christina Delimitrou; Sriram Sankar; Kushagra Vaid; Christos Kozyrakis (ISPASS, 2011)

Time and Cost-Efficient Modeling and Generation of Large-Scale TPCC/TPCE/TPCH Workloads. - Christina Delimitrou; Sriram Sankar; Badriddine M. Khessib; Kushagra Vaid; Christos Kozyrakis (TPCTC, 2011)

ECHO: Recreating network traffic maps for datacenters with tens of thousands of servers. - Christina Delimitrou; Sriram Sankar; Aman Kansal; Christos Kozyrakis (IISWC, 2012)

Decoupling Datacenter Storage Studies from Access to Large-Scale Applications. - Christina Delimitrou; Sriram Sankar; Kushagra Vaid; Christos Kozyrakis (IEEE Comput. Archit. Lett., 2012)

Paragon: QoS-aware scheduling for heterogeneous datacenters. - Christina Delimitrou; Christos Kozyrakis (ASPLOS, 2013)

QoS-Aware Admission Control in Heterogeneous Datacenters. - Christina Delimitrou; Nick Bambos; Christos Kozyrakis (ICAC, 2013)

iBench: Quantifying interference for datacenter applications. - Christina Delimitrou; Christos Kozyrakis (IISWC, 2013)

The Netflix Challenge: Datacenter Edition. - Christina Delimitrou; Christos Kozyrakis (IEEE Comput. Archit. Lett., 2013)

QoS-Aware scheduling in heterogeneous datacenters with paragon. - Christina Delimitrou; Christos Kozyrakis (ACM Trans. Comput. Syst., 2013)

Quasar: resource-efficient and QoS-aware cluster management. - Christina Delimitrou; Christos Kozyrakis (ASPLOS, 2014)

Quality-of-Service-Aware Scheduling in Heterogeneous Data centers with Paragon. - Christina Delimitrou; Christos Kozyrakis (IEEE Micro, 2014)

Tarcil: reconciling scheduling speed and quality in large shared clusters. - Christina Delimitrou; Daniel Sánchez 003; Christos Kozyrakis (SoCC, 2015)

HCloud: Resource-Efficient Provisioning in Shared Cloud Systems. - Christina Delimitrou; Christos Kozyrakis (ASPLOS, 2016)

Automatic Generation of Efficient Accelerators for Reconfigurable Hardware. - David Koeplinger; Raghu Prabhakar; Yaqi Zhang 001; Christina Delimitrou; Christos Kozyrakis; Kunle Olukotun (ISCA, 2016)

Security Implications of Data Mining in Cloud Scheduling. - Christina Delimitrou; Christos Kozyrakis (IEEE Comput. Archit. Lett., 2016)

Bolt: I Know What You Did Last Summer... In The Cloud. - Christina Delimitrou; Christos Kozyrakis (ASPLOS, 2017)

Workload characterization of interactive cloud services on big and small server platforms. - Shuang Chen 002; Shay GalOn; Christina Delimitrou; Srilatha Manne; José F. Martínez (IISWC, 2017)

DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. - Mingyu Gao 001; Christina Delimitrou; Dimin Niu; Krishna T. Malladi; Hongzhong Zheng; Bob Brennan; Christos Kozyrakis (IEEE Micro, 2017)

Mage: online and interference-aware scheduling for multi-scale heterogeneous systems. - Francisco Romero; Christina Delimitrou (PACT, 2018)

Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging. - Yu Gan 002; Meghna Pancholi; Siyuan Hu; Dailun Cheng; Yuan He 015; Christina Delimitrou (HotCloud, 2018)

Amdahl's law for tail latency. - Christina Delimitrou; Christos Kozyrakis (Commun. ACM, 2018)

The Architectural Implications of Cloud Microservices. - Yu Gan 002; Christina Delimitrou (IEEE Comput. Archit. Lett., 2018)

Leveraging Approximation to Improve Datacenter Resource Efficiency. - Neeraj Kulkarni; Feng Qi 003; Christina Delimitrou (IEEE Comput. Archit. Lett., 2018)

Mage: Online Interference-Aware Scheduling in Multi-Scale Heterogeneous Systems. - Francisco Romero; Christina Delimitrou (CoRR, 2018)

To Centralize or Not to Centralize: A Tale of Swarm Coordination. - Justin Hu; Ariana Bruno; Drew Zagieboylo; Mark Zhao; Brian Ritchken; Brendon Jackson; Joo Yeon Chae; Francois Mertil; Mateo Espinosa; Christina Delimitrou (CoRR, 2018)

The Architectural Implications of Microservices in the Cloud. - Yu Gan 002; Christina Delimitrou (CoRR, 2018)

Uncovering the Security Implications of Cloud Multi-Tenancy with Bolt. - Christina Delimitrou; Christos Kozyrakis (IEEE Micro, 2018)

PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services. - Shuang Chen 002; Christina Delimitrou; José F. Martínez (ASPLOS, 2019)

An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems. - Yu Gan 002; Yanqi Zhang; Dailun Cheng; Ankitha Shetty; Priyal Rathi; Nayan Katarki; Ariana Bruno; Justin Hu; Brian Ritchken; Brendon Jackson; Kelvin Hu; Meghna Pancholi; et al. (ASPLOS, 2019)

Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices. - Yu Gan 002; Yanqi Zhang; Kelvin Hu; Dailun Cheng; Yuan He 015; Meghna Pancholi; Christina Delimitrou (ASPLOS, 2019)

X-Containers: Breaking Down Barriers to Improve Performance and Isolation of Cloud-Native Containers. - Zhiming Shen; Zhen Sun; Gur-Eyal Sela; Eugene Bagdasaryan; Christina Delimitrou; Robbert van Renesse; Hakim Weatherspoon (ASPLOS, 2019)

Pliant: Leveraging Approximation to Improve Datacenter Resource Efficiency. - Neeraj Kulkarni; Feng Qi 003; Christina Delimitrou (HPCA, 2019)

µqSim: Enabling Accurate and Scalable Simulation for Interactive Microservices. - Yanqi Zhang; Yu Gan 002; Christina Delimitrou (ISPASS, 2019)

Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices. - Yu Gan 002; Yanqi Zhang; Kelvin Hu; Dailun Cheng; Yuan He 015; Meghna Pancholi; Christina Delimitrou (CoRR, 2019)

An Open-Source Benchmark Suite for Cloud and IoT Microservices. - Yu Gan 002; Yanqi Zhang; Dailun Cheng; Ankitha Shetty; Priyal Rathi; Nayan Katarki; Ariana Bruno; Justin Hu; Brian Ritchken; Brendon Jackson; Kelvin Hu; Meghna Pancholi; et al. (CoRR, 2019)

uqSim: Scalable and Validated Simulation of Cloud Microservices. - Yanqi Zhang; Yu Gan 002; Christina Delimitrou (CoRR, 2019)

Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer. - Yu Gan 002; Yanqi Zhang; Kelvin Hu; Dailun Cheng; Yuan He 015; Meghna Pancholi; Christina Delimitrou (ACM SIGOPS Oper. Syst. Rev., 2019)

CuttleSys: Data-Driven Resource Management for Interactive Services on Reconfigurable Multicores. - Neeraj Kulkarni; Gonzalo Gonzalez-Pumariega; Amulya Khurana; Christine A. Shoemaker; Christina Delimitrou; David H. Albonesi (MICRO, 2020)

Dagger: Towards Efficient RPCs in Cloud Microservices With Near-Memory Reconfigurable NICs. - Nikita Lazarev; Neil Adit; Shaojie Xiang; Zhiru Zhang; Christina Delimitrou (IEEE Comput. Archit. Lett., 2020)

Ripple: A Practical Declarative Programming Framework for Serverless Compute. - Shannon Joyner; Michael J. MacCoss; Christina Delimitrou; Hakim Weatherspoon (CoRR, 2020)

HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms. - Justin Hu; Ariana Bruno; Brian Ritchken; Brendon Jackson; Mateo Espinosa; Aditya Shah; Christina Delimitrou (CoRR, 2020)

CuttleSys: Data-Driven Resource Management forInteractive Applications on Reconfigurable Multicores. - Neeraj Kulkarni; Gonzalo Gonzalez-Pumariega; Amulya Khurana; Christine A. Shoemaker; Christina Delimitrou; David H. Albonesi (CoRR, 2020)

Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems. - Yu Gan 002; Yanqi Zhang; Dailun Cheng; Ankitha Shetty; Priyal Rathi; Nayan Katarki; Ariana Bruno; Justin Hu; Brian Ritchken; Brendon Jackson; Kelvin Hu; Meghna Pancholi; et al. (IEEE Micro, 2020)

Sage: practical and scalable ML-driven performance debugging in microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (ASPLOS, 2021)

Dagger: efficient and fast RPCs in cloud microservices with near-memory reconfigurable NICs. - Nikita Lazarev; Shaojie Xiang; Neil Adit; Zhiru Zhang; Christina Delimitrou (ASPLOS, 2021)

Sinan: ML-based and QoS-aware resource management for cloud microservices. - Yanqi Zhang; Weizhe Hua; Zhuangzhuang Zhou; G. Edward Suh; Christina Delimitrou (ASPLOS, 2021)

Leveraging ML to handle the increasing complexity of the cloud. - Christina Delimitrou (CF, 2021)

Faster and Cheaper Serverless Computing on Harvested Resources. - Yanqi Zhang; Iñigo Goiri; Gohar Irfan Chaudhry; Rodrigo Fonseca; Sameh Elnikety; Christina Delimitrou; Ricardo Bianchini (SOSP, 2021)

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (CoRR, 2021)

Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices. - Yanqi Zhang; Weizhe Hua; Zhuangzhuang Zhou; G. Edward Suh; Christina Delimitrou (CoRR, 2021)

Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs. - Nikita Lazarev; Shaojie Xiang; Neil Adit; Zhiru Zhang; Christina Delimitrou (CoRR, 2021)

Sinan: Data Driven Resource Management for Cloud Microservices. - Yanqi Zhang; Weizhe Hua; Zhuangzhuang Zhou; G. Edward Suh; Christina Delimitrou (CoRR, 2021)

Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (CoRR, 2021)

A Hardware-Software Stack for Serverless Edge Swarms. - Liam Patterson; David Pigorovsky; Brian Dempsey; Nikita Lazarev; Aditya Shah; Clara Steinhoff; Ariana Bruno; Justin Hu; Christina Delimitrou (CoRR, 2021)

CacheInspector: Reverse Engineering Cache Resources in Public Clouds. - Weijia Song; Christina Delimitrou; Zhiming Shen; Robbert van Renesse; Hakim Weatherspoon; Lotfi Benmohamed; Frederic J. de Vaulx; Charif Mahmoudi (ACM Trans. Archit. Code Optim., 2021)

ReTail: Opting for Learning Simplicity to Enable QoS-Aware Power Management in the Cloud. - Shuang Chen 002; Angela Jin; Christina Delimitrou; José F. Martínez (HPCA, 2022)

PIMCloud: QoS-Aware Resource Management of Latency-Critical Applications in Clouds with Processing-in-Memory. - Shuang Chen 002; Yi Jiang; Christina Delimitrou; José F. Martínez (HPCA, 2022)

HiveMind: a hardware-software system stack for serverless edge swarms. - Liam Patterson; David Pigorovsky; Brian Dempsey; Nikita Lazarev; Aditya Shah; Clara Steinhoff; Ariana Bruno; Justin Hu; Christina Delimitrou (ISCA, 2022)

End-to-End Application Cloning for Distributed Cloud Microservices with Ditto. - Mingyu Liang; Yu Gan 002; Yueying Li; Carlos Torres; Abhishek Dhanotia; Mahesh Ketkar; Christina Delimitrou (CoRR, 2022)

QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope. - Zhuangzhuang Zhou; Yanqi Zhang; Christina Delimitrou (CoRR, 2022)

Practical and Scalable ML-Driven Cloud Performance Debugging With Sage. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (IEEE Micro, 2022)

Enabling Practical Cloud Performance Debugging with Unsupervised Learning. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (ACM SIGOPS Oper. Syst. Rev., 2022)

Ditto: End-to-End Application Cloning for Networked Cloud Services. - Mingyu Liang; Yu Gan 002; Yueying Li; Carlos Torres; Abhishek Dhanotia; Mahesh Ketkar; Christina Delimitrou (ASPLOS (2), 2023)

AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows. - Zhuangzhuang Zhou; Yanqi Zhang; Christina Delimitrou (ASPLOS (1), 2023)

Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. - Yueying Li; Daochen Zha; Tianjun Zhang; G. Edward Suh; Christina Delimitrou; Francis Y. Yan (Tiny Papers @ ICLR, 2023)

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks. - Mingyu Liang; Wenyin Fu; Louis Feng; Zhongyi Lin; Pavani Panakanti; Shengbao Zheng; Srinivas Sridharan 002; Christina Delimitrou (ISCA, 2023)

Resilient Baseband Processing in Virtualized RANs with Slingshot. - Nikita Lazarev; Tao Ji; Anuj Kalia; Daehyeok Kim; Ilias Marinos; Francis Y. Yan; Christina Delimitrou; Zhiru Zhang; Aditya Akella (SIGCOMM, 2023)

Mystique: Accurate and Scalable Production AI Benchmarks Generation. - Mingyu Liang; Wenyin Fu; Louis Feng; Zhongyi Lin; Pavani Panakanti; Srinivas Sridharan 002; Christina Delimitrou (CoRR, 2023)

Towards Fast, Adaptive, and Hardware-Assisted User-Space Scheduling. - Yueying Li; Nikita Lazarev; David Koufaty; Yijun Yin; Andy Anderson; Zhiru Zhang; G. Edward Suh; Kostis Kaffes; Christina Delimitrou (CoRR, 2023)

Characterizing a Memory Allocator at Warehouse Scale. - Zhuangzhuang Zhou; Vaibhav Gogte; Nilay Vaish; Chris Kennelly; Patrick Xia 001; Svilen Kanev; Tipp Moseley; Christina Delimitrou; Parthasarathy Ranganathan (ASPLOS (3), 2024)

The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling. - Noman Bashir; Varun Gohil; Anagha Belavadi Subramanya; Mohammad Shahrad; David E. Irwin 001; Elsa Olivetti; Christina Delimitrou (SoCC, 2024)

LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling. - Yueying Li; Nikita Lazarev; David Koufaty; Tenny Yin; Andy Anderson; Zhiru Zhang; G. Edward Suh; Kostis Kaffes; Christina Delimitrou (HPCA, 2024)

Ursa: Lightweight Resource Management for Cloud-Native Microservices. - Yanqi Zhang; Zhuangzhuang Zhou; Sameh Elnikety; Christina Delimitrou (HPCA, 2024)

Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs. - Nikita Lazarev; Varun Gohil; James Tsai; Andy Anderson; Bhushan Chitlur; Zhiru Zhang; Christina Delimitrou (OSDI, 2024)

The Importance of Generalizability in Machine Learning for Systems. - Varun Gohil; Sundar Dev; Gaurang Upasani; David Lo 003; Parthasarathy Ranganathan; Christina Delimitrou (IEEE Comput. Archit. Lett., 2024)

Analytically-Driven Resource Management for Cloud-Native Microservices. - Yanqi Zhang; Zhuangzhuang Zhou; Sameh Elnikety; Christina Delimitrou (CoRR, 2024)

Tales of the Tail: Past and Future. - Christina Delimitrou; Michael Marty (IEEE Micro, 2024)

End-to-End Cloud Application Cloning With Ditto. - Mingyu Liang; Yu Gan 002; Yueying Li; Carlos Torres; Abhishek Dhanotia; Mahesh Ketkar; Christina Delimitrou (IEEE Micro, 2024)

Carbon- and Precedence-Aware Scheduling for Data Processing Clusters. - Adam Lechowicz; Rohan Shenoy; Noman Bashir; Mohammad Hajiesmaili; Adam Wierman; Christina Delimitrou (CoRR, 2025)

Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training. - Mingyu Liang; Hiwot Tadese Kassa; Wenyin Fu; Brian Coutinho; Louis Feng; Christina Delimitrou (CoRR, 2025)