Sacheendra Talluri

Ph.D. student, Vrije Universiteit Amsterdam

Research Focus
Serverless scheduling, Cloud service fault-tolerance

Contact

sacheendra.github.io/
S.Talluri@atlarge-research.com

Links

Publications
Publications
Student Work
Master Thesis
Supervised
Master ThesesBachelor ThesesLiterature Surveys
Talks
Talks
Teaching
Course List

Publications
Let's trace it: Fine-grained serverless benchmarking for synchronous and asynchronous applications
Future Generation Computer Systems
PDF
Cite
GpJSON: High-performance JSON Data Processing on GPUs
Proceedings of the VLDB Endowment, Vol. 18, No. 9 (2025)
PDF
Cite
Investigating Performance Overhead of Distributed Tracing in Microservices and Serverless Systems
8th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2025) @ ICPE 2025
PDF
Cite
Columbo: A Reasoning Framework for Kubernetes’ Configuration Space
16th ACM/SPEC International Conference on Performance Engineering (ICPE 2025)
PDF
Cite
Performance Characterization of Data Store Event Trigger Mechanisms for Serverless Computing
25th IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGRID 2025)
PDF
Cite
An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models
16th ACM/SPEC International Conference on Performance Engineering (ICPE 2025)
PDF
Cite
ExDe: Design space exploration of schedular architectures and mechanisms for serverless data-processing
Future Generation Computer Systems
PDF
Cite
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
Cite
FootPrinter: Quantifying Data Center Carbon Footprint
HotCloudPerf 2024
PDF
Cite
The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions
15th ACM/SPEC International Conference on Performance Engineering (ICPE'24)
Cite
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
Cite
Reviving Storage Systems Education in the 21st Century — An experience report
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing 2024
PDF
Cite
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)
PDF
Cite
A Reference Architecture for Datacenter Scheduler Programming Design and Experiments
ICPE Work in Progress 2023
PDF
Cite
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)
PDF
Cite
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
Cite
Empirical Characterization of User Reports about Cloud Failures
ACSOS 2021
PDF
Cite
The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2020
PDF
Cite
Efficient Estimation of Read Density when Caching for Big Data Processing
9th International Workshop on Big Data and Cloud Performance (DCPerf’19) @ INFOCOM 2019
PDF
Cite
The AtLarge Vision on the Design of Distributed Systems and Ecosystems.
IEEE International Conference on Distributed Computing Systems (ICDCS 2019)
PDF
Cite
Characterization of a Big Data Storage Workload in the Cloud
ICPE 2019
PDF
Cite
Serverless is More: From PaaS to Present Cloud Computing
IEEE Internet Computing, Sep/Oct edition, 2018
PDF
Cite
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
PDF
Cite
The OpenDC Vision: Towards Collaborative Datacenter Simulation and Exploration for Everybody.
ISPDC 2017 (invited paper)
PDF
Cite

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
Mewbie: Scale Adjustable Benchmark for Microservice Deployments
PDF
Investigating Performance Overhead of Distributed Tracing in Microservices and Serverless Systems
PDF
Erroneous Kubernetes Object Generation using Structure-aware Fuzzing
PDF
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
Survey of Serverless Workflows
PDF

Talks
The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions
ICPE'24, London, May 7-11, 2024
Talk
ExDe: Design Space Exploration of Scheduler Architectures and Mechanisms for Serverless Data-processing
CompSys'24, Netherlands, May 27-29
Talk
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)
Talk
Efficient Estimation of Read Density when Caching for Big Data Processing
9th International Workshop on Big Data and Cloud Performance (DCPerf’19) @ INFOCOM 2019
Talk
Characterization of a Big Data Storage Workload in the Cloud
International Conference on Performance Engineering, Mumbai, India, April, 2019
Talk

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

Contact

info@atlarge-research.com

© Copyright @Large Research Group