Alexandru Uta

Orcid: 0000-0001-5477-2194

According to our database1, Alexandru Uta authored at least 45 papers between 2014 and 2023.

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Bibliography

2023
Less is not more: We need rich datasets to explore.
Future Gener. Comput. Syst., May, 2023

The Performance of Distributed Applications: A Traffic Shaping Perspective.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Decentralized and Stateful Serverless Computing on the Internet Computer Blockchain.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Log Parsing Evaluation in the Era of Modern Software Systems.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

2022
Future Computer Systems and Networking Research in the Netherlands: A Manifesto.
CoRR, 2022

In-Memory Indexed Caching for Distributed Data Processing.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

DAOS: Data Access-aware Operating System.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Skyhook: Towards an Arrow-Native Storage System.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization - Extended Technical Report.
CoRR, 2021

Towards an Arrow-native Storage System.
CoRR, 2021

The future is big graphs: a community view on graph processing systems.
Commun. ACM, 2021

Cloud Performance Variability Prediction.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

The Fourth Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'21): Benchmarking in the Cloud.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Reproducible Model Sharing for AI Practitioners.
Proceedings of the DIDL '21: Proceedings of the Fifth Workshop on Distributed Infrastructures for Deep Learning 2021, 2021

Zero-Cost, Arrow-Enabled Data Interface for Apache Spark.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Beneath the SURFace: An MRI-like View into the Life of a 21st-Century Datacenter.
login Usenix Mag., 2020

The LDBC Graphalytics Benchmark.
CoRR, 2020

3rd Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'20): Performance Variability.
Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

A Sampling-Based Tool for Scaling Graph Datasets.
Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

Is Big Data Performance Reproducible in Modern Cloud Networks?
Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

In Datacenter Performance, The Only Constant Is Change.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
[Demo] Low-latency Spark Queries on Updatable Data.
Proceedings of the 2019 International Conference on Management of Data, 2019

Graphless: Toward Serverless Graph Processing.
Proceedings of the 18th International Symposium on Parallel and Distributed Computing, 2019

Attributes Assessing the Quality of Microservices Automatically Decomposed from Monolithic Applications.
Proceedings of the 18th International Symposium on Parallel and Distributed Computing, 2019

On Studying CPU Performance of CloudLab Hardware.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

MicroValid: A Validation Framework for Automatically Decomposed Microservices.
Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

A Programming Framework for Heterogeneous Stream Analytics.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Aves: A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Serverless is More: From PaaS to Present Cloud Computing.
IEEE Internet Comput., 2018

MemEFS: A network-aware elastic in-memory runtime distributed file system.
Future Gener. Comput. Syst., 2018

A Performance Study of Big Data Workloads in Cloud Datacenters with Network Variability.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Massivizing Computer Systems: A Vision to Understand, Design, and Engineer Computer Ecosystems Through and Beyond Modern Distributed Systems.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Exploring HPC and Big Data Convergence: A Graph Processing Study on Intel Knights Landing.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

Elasticity in Graph Analytics? A Benchmarking Framework for Elastic Graph Processing.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

An Elasticity Study of Distributed Graph Processing.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

POSUM: A Portfolio Scheduler for MapReduce Workloads.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
SenseLE: Exploiting Spatial Locality in Decentralized Sensing Environments.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

P^2-SWAN: Real-Time Privacy Preserving Computation for IoT Ecosystems.
Proceedings of the 1st IEEE International Conference on Fog and Edge Computing, 2017

2016
Overcoming data locality: An in-memory runtime file system with symmetrical data distribution.
Future Gener. Comput. Syst., 2016

Towards Resource Disaggregation - Memory Scavenging for Scientific Workloads.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
MemEFS: An Elastic In-memory Runtime File System for eScience Applications.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

Scalable In-Memory Computing.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
In-Memory Runtime File Systems for Many-Task Computing.
Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 2014

MemFS: An in-memory runtime file system with symmetrical data distribution.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014


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