Sacheendra Talluri

Ph.D. student, Vrije Universiteit Amsterdam

Research Focus
Resource management and scheduling for datacenter storage

Contact

Links

Publications
Master Thesis
Talks
Course List

Publications
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
The 30th International Conference on Parallel and Distributed Systems (ICPADS 2024)
PDF
FootPrinter: Quantifying Data Center Carbon Footprint
HotCloudPerf 2024
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The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions
15th ACM/SPEC International Conference on Performance Engineering (ICPE'24)
Enabling Operational Data Analytics for Datacenters through Ontologies, Monitoring, and Simulation-based Prediction
The Second Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems (GraphSys 2024)
PDF
Reviving Storage Systems Education in the 21st Century — An experience report
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing 2024
PDF
ExDe: Design Space Exploration of Scheduler Architectures and Mechanisms for Serverless Data-processing
FGCS 2023
A Trace-driven Performance Evaluation of Hash-based Task Placement Algorithms for Cache-enabled Serverless Computing
2023 ACM International Conference on Computing Frontiers (CF '23)
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A Reference Architecture for Datacenter Scheduler Programming Design and Experiments
ICPE Work in Progress 2023
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How Do ML Jobs Fail in Datacenters? Analysis of a Long-Term Dataset from an HPC Cluster
The 6th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2023)
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Efficiently Improving the Performance of Serverless Applications with Microtask-based Scheduling
4th International Workshop on Cloud, IoT and Fog Systems (CIFS’22) (co-located with UCC), Dec 2022
PDF
Empirical Characterization of User Reports about Cloud Failures
ACSOS 2021
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The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2020
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Efficient Estimation of Read Density when Caching for Big Data Processing
9th International Workshop on Big Data and Cloud Performance (DCPerf’19) @ INFOCOM 2019
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The AtLarge Vision on the Design of Distributed Systems and Ecosystems.
IEEE International Conference on Distributed Computing Systems (ICDCS 2019)
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Characterization of a Big Data Storage Workload in the Cloud
ICPE 2019
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Serverless is More: From PaaS to Present Cloud Computing
IEEE Internet Computing, Sep/Oct edition, 2018
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Massivizing Computer Systems: a Vision to Understand, Design, and Engineer Computer Ecosystems through and beyond Modern Distributed Systems
International Conference on Distributed Computing Systems 2018
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The OpenDC Vision: Towards Collaborative Datacenter Simulation and Exploration for Everybody.
ISPDC 2017 (invited paper)
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Master Thesis
Workload Characterization and Modeling, and the Design and Evaluation of Cache Policies for Big Data Storage Workloads in the Cloud

Supervised Master Theses
Erroneous Kubernetes Object Generation using Structure-aware Fuzzing
Understanding Datacenter Scheduler Programming Abstractions: Reference Architecture Design, Scheduler Analysis, and Cost Quantification

Supervised Bachelor Theses
Task-in-Pod Scheduling Support for Kubernetes and Apache Spark Stack
ShareBench: Performance Characterization of Distributed Resource-Sharing Mechanisms

Supervised Literature Surveys

Talks
The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions
ICPE'24, London, May 7-11, 2024
ExDe: Design Space Exploration of Scheduler Architectures and Mechanisms for Serverless Data-processing
CompSys'24, Netherlands, May 27-29
A Trace-driven Performance Evaluation of Hash-based Task Placement Algorithms for Cache-enabled Serverless Computing
Research Track, 2023 ACM International Conference on Computing Frontiers (CF '23)
Efficient Estimation of Read Density when Caching for Big Data Processing
9th International Workshop on Big Data and Cloud Performance (DCPerf’19) @ INFOCOM 2019
Characterization of a Big Data Storage Workload in the Cloud
International Conference on Performance Engineering, Mumbai, India, April, 2019

Teaching
    Lab Lead
Distributed Systems, MSc, VU (2017-ongoing)