Christina Delimitrou

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 67

Top Topics

Resource Management

Unsupervised Learning

Top Venues

IEEE Comput. Archit. Lett.

Publications

Varun Gohil, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou
The Importance of Generalizability in Machine Learning for Systems. IEEE Comput. Archit. Lett. 23 (1) (2024)
Yueying Li, Nikita Lazarev, David Koufaty, Tenny Yin, Andy Anderson, Zhiru Zhang, G. Edward Suh, Kostis Kaffes, Christina Delimitrou
LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling. HPCA (2024)
Yanqi Zhang, Zhuangzhuang Zhou, Sameh Elnikety, Christina Delimitrou
Analytically-Driven Resource Management for Cloud-Native Microservices. CoRR (2024)
Zhuangzhuang Zhou, Vaibhav Gogte, Nilay Vaish, Chris Kennelly, Patrick Xia, Svilen Kanev, Tipp Moseley, Christina Delimitrou, Parthasarathy Ranganathan
Characterizing a Memory Allocator at Warehouse Scale. ASPLOS (3) (2024)
Nikita Lazarev, Varun Gohil, James Tsai, Andy Anderson, Bhushan Chitlur, Zhiru Zhang, Christina Delimitrou
Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs. OSDI (2024)
Yanqi Zhang, Zhuangzhuang Zhou, Sameh Elnikety, Christina Delimitrou
Ursa: Lightweight Resource Management for Cloud-Native Microservices. HPCA (2024)
Nikita Lazarev, Tao Ji, Anuj Kalia, Daehyeok Kim, Ilias Marinos, Francis Y. Yan, Christina Delimitrou, Zhiru Zhang, Aditya Akella
Resilient Baseband Processing in Virtualized RANs with Slingshot. SIGCOMM (2023)
Zhuangzhuang Zhou, Yanqi Zhang, Christina Delimitrou
AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows. ASPLOS (1) (2023)
Yueying Li, Nikita Lazarev, David Koufaty, Yijun Yin, Andy Anderson, Zhiru Zhang, G. Edward Suh, Kostis Kaffes, Christina Delimitrou
Towards Fast, Adaptive, and Hardware-Assisted User-Space Scheduling. CoRR (2023)
Mingyu Liang, Yu Gan, Yueying Li, Carlos Torres, Abhishek Dhanotia, Mahesh Ketkar, Christina Delimitrou
Ditto: End-to-End Application Cloning for Networked Cloud Services. ASPLOS (2) (2023)
Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan
Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. Tiny Papers @ ICLR (2023)
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Srinivas Sridharan, Christina Delimitrou
Mystique: Accurate and Scalable Production AI Benchmarks Generation. CoRR (2023)
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou
Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks. ISCA (2023)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Enabling Practical Cloud Performance Debugging with Unsupervised Learning. ACM SIGOPS Oper. Syst. Rev. 56 (1) (2022)
Mingyu Liang, Yu Gan, Yueying Li, Carlos Torres, Abhishek Danotia, Mahesh Ketkar, Christina Delimitrou
End-to-End Application Cloning for Distributed Cloud Microservices with Ditto. CoRR (2022)
Shuang Chen, Angela Jin, Christina Delimitrou, José F. Martínez
ReTail: Opting for Learning Simplicity to Enable QoS-Aware Power Management in the Cloud. HPCA (2022)
Shuang Chen, Yi Jiang, Christina Delimitrou, José F. Martínez
PIMCloud: QoS-Aware Resource Management of Latency-Critical Applications in Clouds with Processing-in-Memory. HPCA (2022)
Liam Patterson, David Pigorovsky, Brian Dempsey, Nikita Lazarev, Aditya Shah, Clara Steinhoff, Ariana Bruno, Justin Hu, Christina Delimitrou
HiveMind: a hardware-software system stack for serverless edge swarms. ISCA (2022)
Zhuangzhuang Zhou, Yanqi Zhang, Christina Delimitrou
QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope. CoRR (2022)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage. IEEE Micro 42 (4) (2022)
Christina Delimitrou
Leveraging ML to handle the increasing complexity of the cloud. CF (2021)
Weijia Song, Christina Delimitrou, Zhiming Shen, Robbert van Renesse, Hakim Weatherspoon, Lotfi Benmohamed, Frederic J. de Vaulx, Charif Mahmoudi
CacheInspector: Reverse Engineering Cache Resources in Public Clouds. ACM Trans. Archit. Code Optim. 18 (3) (2021)
Liam Patterson, David Pigorovsky, Brian Dempsey, Nikita Lazarev, Aditya Shah, Clara Steinhoff, Ariana Bruno, Justin Hu, Christina Delimitrou
A Hardware-Software Stack for Serverless Edge Swarms. CoRR (2021)
Nikita Lazarev, Shaojie Xiang, Neil Adit, Zhiru Zhang, Christina Delimitrou
Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs. CoRR (2021)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Sage: practical and scalable ML-driven performance debugging in microservices. ASPLOS (2021)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. CoRR (2021)
Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, Ed Suh, Christina Delimitrou
Sinan: Data Driven Resource Management for Cloud Microservices. CoRR (2021)
Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh, Christina Delimitrou
Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices. CoRR (2021)
Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh, Christina Delimitrou
Sinan: ML-based and QoS-aware resource management for cloud microservices. ASPLOS (2021)
Nikita Lazarev, Shaojie Xiang, Neil Adit, Zhiru Zhang, Christina Delimitrou
Dagger: efficient and fast RPCs in cloud microservices with near-memory reconfigurable NICs. ASPLOS (2021)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices. CoRR (2021)
Yanqi Zhang, Iñigo Goiri, Gohar Irfan Chaudhry, Rodrigo Fonseca, Sameh Elnikety, Christina Delimitrou, Ricardo Bianchini
Faster and Cheaper Serverless Computing on Harvested Resources. SOSP (2021)
Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou
Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems. IEEE Micro 40 (3) (2020)
Nikita Lazarev, Neil Adit, Shaojie Xiang, Zhiru Zhang, Christina Delimitrou
Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs. CoRR (2020)
Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana, Christine A. Shoemaker, Christina Delimitrou, David H. Albonesi
CuttleSys: Data-Driven Resource Management forInteractive Applications on Reconfigurable Multicores. CoRR (2020)
Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana, Christine A. Shoemaker, Christina Delimitrou, David H. Albonesi
CuttleSys: Data-Driven Resource Management for Interactive Services on Reconfigurable Multicores. MICRO (2020)
Shannon Joyner, Michael J. MacCoss, Christina Delimitrou, Hakim Weatherspoon
Ripple: A Practical Declarative Programming Framework for Serverless Compute. CoRR (2020)
Nikita Lazarev, Neil Adit, Shaojie Xiang, Zhiru Zhang, Christina Delimitrou
Dagger: Towards Efficient RPCs in Cloud Microservices With Near-Memory Reconfigurable NICs. IEEE Comput. Archit. Lett. 19 (2) (2020)
Justin Hu, Ariana Bruno, Brian Ritchken, Brendon Jackson, Mateo Espinosa, Aditya Shah, Christina Delimitrou
HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms. CoRR (2020)
Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou
An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems. ASPLOS (2019)
Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou
Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
Yanqi Zhang, Yu Gan, Christina Delimitrou
µqSim: Enabling Accurate and Scalable Simulation for Interactive Microservices. ISPASS (2019)
Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou
Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices. CoRR (2019)
Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou
An Open-Source Benchmark Suite for Cloud and IoT Microservices. CoRR (2019)
Yanqi Zhang, Yu Gan, Christina Delimitrou
uqSim: Scalable and Validated Simulation of Cloud Microservices. CoRR (2019)
Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou
Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices. ASPLOS (2019)
Neeraj Kulkarni, Feng Qi, Christina Delimitrou
Pliant: Leveraging Approximation to Improve Datacenter Resource Efficiency. HPCA (2019)
Zhiming Shen, Zhen Sun, Gur-Eyal Sela, Eugene Bagdasaryan, Christina Delimitrou, Robbert van Renesse, Hakim Weatherspoon
X-Containers: Breaking Down Barriers to Improve Performance and Isolation of Cloud-Native Containers. ASPLOS (2019)
Shuang Chen, Christina Delimitrou, José F. Martínez
PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services. ASPLOS (2019)
Christina Delimitrou, Christos Kozyrakis
Uncovering the Security Implications of Cloud Multi-Tenancy with Bolt. IEEE Micro 38 (3) (2018)
Neeraj Kulkarni, Feng Qi, Christina Delimitrou
Leveraging Approximation to Improve Datacenter Resource Efficiency. IEEE Comput. Archit. Lett. 17 (2) (2018)
Francisco Romero, Christina Delimitrou
Mage: online and interference-aware scheduling for multi-scale heterogeneous systems. PACT (2018)
Francisco Romero, Christina Delimitrou
Mage: Online Interference-Aware Scheduling in Multi-Scale Heterogeneous Systems. CoRR (2018)
Yu Gan, Christina Delimitrou
The Architectural Implications of Cloud Microservices. IEEE Comput. Archit. Lett. 17 (2) (2018)
Yu Gan, Meghna Pancholi, Dailun Cheng, Siyuan Hu, Yuan He, Christina Delimitrou
Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging. CoRR (2018)
Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou
To Centralize or Not to Centralize: A Tale of Swarm Coordination. CoRR (2018)
Christina Delimitrou, Christos Kozyrakis
Amdahl's law for tail latency. Commun. ACM 61 (8) (2018)
Neeraj Kulkarni, Feng Qi, Christina Delimitrou
Pliant: Leveraging Approximation to Improve Datacenter Resource Efficiency. CoRR (2018)
Yu Gan, Meghna Pancholi, Siyuan Hu, Dailun Cheng, Yuan He, Christina Delimitrou
Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging. HotCloud (2018)
Yu Gan, Christina Delimitrou
The Architectural Implications of Microservices in the Cloud. CoRR (2018)
Shuang Chen, Shay GalOn, Christina Delimitrou, Srilatha Manne, José F. Martínez
Workload characterization of interactive cloud services on big and small server platforms. IISWC (2017)
Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. IEEE Micro 37 (3) (2017)
Christina Delimitrou, Christos Kozyrakis
Bolt: I Know What You Did Last Summer... In The Cloud. ASPLOS (2017)
David Koeplinger, Raghu Prabhakar, Yaqi Zhang, Christina Delimitrou, Christos Kozyrakis, Kunle Olukotun
Automatic Generation of Efficient Accelerators for Reconfigurable Hardware. ISCA (2016)
Christina Delimitrou, Christos Kozyrakis
HCloud: Resource-Efficient Provisioning in Shared Cloud Systems. ASPLOS (2016)
Christina Delimitrou, Christos Kozyrakis
Security Implications of Data Mining in Cloud Scheduling. IEEE Comput. Archit. Lett. 15 (2) (2016)
Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. ISCA (2016)
Christina Delimitrou, Daniel Sánchez, Christos Kozyrakis
Tarcil: reconciling scheduling speed and quality in large shared clusters. SoCC (2015)
Christina Delimitrou, Christos Kozyrakis
Quasar: resource-efficient and QoS-aware cluster management. ASPLOS (2014)
Christina Delimitrou, Christos Kozyrakis
Quality-of-Service-Aware Scheduling in Heterogeneous Data centers with Paragon. IEEE Micro 34 (3) (2014)
Christina Delimitrou, Nick Bambos, Christos Kozyrakis
QoS-Aware Admission Control in Heterogeneous Datacenters. ICAC (2013)
Christina Delimitrou, Christos Kozyrakis
Paragon: QoS-aware scheduling for heterogeneous datacenters. ASPLOS (2013)
Christina Delimitrou, Christos Kozyrakis
iBench: Quantifying interference for datacenter applications. IISWC (2013)
Christina Delimitrou, Christos Kozyrakis
The Netflix Challenge: Datacenter Edition. IEEE Comput. Archit. Lett. 12 (1) (2013)
Christina Delimitrou, Christos Kozyrakis
QoS-Aware scheduling in heterogeneous datacenters with paragon. ACM Trans. Comput. Syst. 31 (4) (2013)
Christina Delimitrou, Sriram Sankar, Kushagra Vaid, Christos Kozyrakis
Decoupling Datacenter Storage Studies from Access to Large-Scale Applications. IEEE Comput. Archit. Lett. 11 (2) (2012)
Christina Delimitrou, Sriram Sankar, Aman Kansal, Christos Kozyrakis
ECHO: Recreating network traffic maps for datacenters with tens of thousands of servers. IISWC (2012)
Christina Delimitrou, Sriram Sankar, Badriddine M. Khessib, Kushagra Vaid, Christos Kozyrakis
Time and Cost-Efficient Modeling and Generation of Large-Scale TPCC/TPCE/TPCH Workloads. TPCTC (2011)
Christina Delimitrou, Sriram Sankar, Kushagra Vaid, Christos Kozyrakis
Decoupling datacenter studies from access to large-scale applications: A modeling approach for storage workloads. IISWC (2011)
Christina Delimitrou, Christos Kozyrakis
Cross-Examination of Datacenter Workload Modeling Techniques. ICDCS Workshops (2011)
Christina Delimitrou, Sriram Sankar, Kushagra Vaid, Christos Kozyrakis
Storage I/O generation and replay for datacenter applications. ISPASS (2011)