Christina Delimitrou

Orcid: 0000-0001-7779-4134

Affiliations:
  • MIT, Cambridge, MA, USA
  • Cornell University, Ithaca, NY, USA (former)


According to our database1, Christina Delimitrou authored at least 80 papers between 2011 and 2024.

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Bibliography

2024
End-to-End Cloud Application Cloning With Ditto.
IEEE Micro, 2024

Tales of the Tail: Past and Future.
IEEE Micro, 2024

Analytically-Driven Resource Management for Cloud-Native Microservices.
CoRR, 2024

The Importance of Generalizability in Machine Learning for Systems.
IEEE Comput. Archit. Lett., 2024

Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs.
Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

Ursa: Lightweight Resource Management for Cloud-Native Microservices.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

Characterizing a Memory Allocator at Warehouse Scale.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Towards Fast, Adaptive, and Hardware-Assisted User-Space Scheduling.
CoRR, 2023

Mystique: Accurate and Scalable Production AI Benchmarks Generation.
CoRR, 2023

Resilient Baseband Processing in Virtualized RANs with Slingshot.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

Ditto: End-to-End Application Cloning for Networked Cloud Services.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Enabling Practical Cloud Performance Debugging with Unsupervised Learning.
ACM SIGOPS Oper. Syst. Rev., 2022

Practical and Scalable ML-Driven Cloud Performance Debugging With Sage.
IEEE Micro, 2022

QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope.
CoRR, 2022

End-to-End Application Cloning for Distributed Cloud Microservices with Ditto.
CoRR, 2022

HiveMind: a hardware-software system stack for serverless edge swarms.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

PIMCloud: QoS-Aware Resource Management of Latency-Critical Applications in Clouds with Processing-in-Memory.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

ReTail: Opting for Learning Simplicity to Enable QoS-Aware Power Management in the Cloud.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021
CacheInspector: Reverse Engineering Cache Resources in Public Clouds.
ACM Trans. Archit. Code Optim., 2021

A Hardware-Software Stack for Serverless Edge Swarms.
CoRR, 2021

Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices.
CoRR, 2021

Sinan: Data Driven Resource Management for Cloud Microservices.
CoRR, 2021

Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs.
CoRR, 2021

Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices.
CoRR, 2021

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices.
CoRR, 2021

Faster and Cheaper Serverless Computing on Harvested Resources.
Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

Leveraging ML to handle the increasing complexity of the cloud.
Proceedings of the CF '21: Computing Frontiers Conference, 2021

Sinan: ML-based and QoS-aware resource management for cloud microservices.
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

Dagger: efficient and fast RPCs in cloud microservices with near-memory reconfigurable NICs.
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

Sage: practical and scalable ML-driven performance debugging in microservices.
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020
Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems.
IEEE Micro, 2020

CuttleSys: Data-Driven Resource Management forInteractive Applications on Reconfigurable Multicores.
CoRR, 2020

HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms.
CoRR, 2020

Ripple: A Practical Declarative Programming Framework for Serverless Compute.
CoRR, 2020

Dagger: Towards Efficient RPCs in Cloud Microservices With Near-Memory Reconfigurable NICs.
IEEE Comput. Archit. Lett., 2020

CuttleSys: Data-Driven Resource Management for Interactive Services on Reconfigurable Multicores.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019
Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer.
ACM SIGOPS Oper. Syst. Rev., 2019

uqSim: Scalable and Validated Simulation of Cloud Microservices.
CoRR, 2019

An Open-Source Benchmark Suite for Cloud and IoT Microservices.
CoRR, 2019

Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices.
CoRR, 2019

µqSim: Enabling Accurate and Scalable Simulation for Interactive Microservices.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

Pliant: Leveraging Approximation to Improve Datacenter Resource Efficiency.
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

X-Containers: Breaking Down Barriers to Improve Performance and Isolation of Cloud-Native Containers.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018
Uncovering the Security Implications of Cloud Multi-Tenancy with Bolt.
IEEE Micro, 2018

The Architectural Implications of Microservices in the Cloud.
CoRR, 2018

To Centralize or Not to Centralize: A Tale of Swarm Coordination.
CoRR, 2018

Mage: Online Interference-Aware Scheduling in Multi-Scale Heterogeneous Systems.
CoRR, 2018

Leveraging Approximation to Improve Datacenter Resource Efficiency.
IEEE Comput. Archit. Lett., 2018

The Architectural Implications of Cloud Microservices.
IEEE Comput. Archit. Lett., 2018

Amdahl's law for tail latency.
Commun. ACM, 2018

Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging.
Proceedings of the 10th USENIX Workshop on Hot Topics in Cloud Computing, 2018

Mage: online and interference-aware scheduling for multi-scale heterogeneous systems.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric.
IEEE Micro, 2017

Workload characterization of interactive cloud services on big and small server platforms.
Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

Bolt: I Know What You Did Last Summer... In The Cloud.
Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017

2016
Security Implications of Data Mining in Cloud Scheduling.
IEEE Comput. Archit. Lett., 2016

Automatic Generation of Efficient Accelerators for Reconfigurable Hardware.
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

HCloud: Resource-Efficient Provisioning in Shared Cloud Systems.
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2015
Tarcil: reconciling scheduling speed and quality in large shared clusters.
Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2014
Quality-of-Service-Aware Scheduling in Heterogeneous Data centers with Paragon.
IEEE Micro, 2014

Quasar: resource-efficient and QoS-aware cluster management.
Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014

2013
QoS-Aware scheduling in heterogeneous datacenters with paragon.
ACM Trans. Comput. Syst., 2013

The Netflix Challenge: Datacenter Edition.
IEEE Comput. Archit. Lett., 2013

iBench: Quantifying interference for datacenter applications.
Proceedings of the IEEE International Symposium on Workload Characterization, 2013

QoS-Aware Admission Control in Heterogeneous Datacenters.
Proceedings of the 10th International Conference on Autonomic Computing, 2013

Paragon: QoS-aware scheduling for heterogeneous datacenters.
Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2013

2012
Decoupling Datacenter Storage Studies from Access to Large-Scale Applications.
IEEE Comput. Archit. Lett., 2012

ECHO: Recreating network traffic maps for datacenters with tens of thousands of servers.
Proceedings of the 2012 IEEE International Symposium on Workload Characterization, 2012

2011
Time and Cost-Efficient Modeling and Generation of Large-Scale TPCC/TPCE/TPCH Workloads.
Proceedings of the Topics in Performance Evaluation, Measurement and Characterization, 2011

Storage I/O generation and replay for datacenter applications.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2011

Decoupling datacenter studies from access to large-scale applications: A modeling approach for storage workloads.
Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

Cross-Examination of Datacenter Workload Modeling Techniques.
Proceedings of the 31st IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2011 Workshops), 2011


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