Yogesh L. Simmhan

Orcid: 0000-0003-4140-7774

Affiliations:
  • Indian Institute of Science, Bangalore, India
  • Indiana University, Bloomington, USA (former)


According to our database1, Yogesh L. Simmhan authored at least 160 papers between 2002 and 2024.

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Bibliography

2024
TARIS: Scalable Incremental Processing of Time-Respecting Algorithms on Streaming Graphs.
IEEE Trans. Parallel Distributed Syst., December, 2024

Improved Algorithms for Co-Scheduling of Edge Analytics and Routes for UAV Fleet Missions.
IEEE/ACM Trans. Netw., February, 2024

PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges.
Future Gener. Comput. Syst., 2024

Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Building AI Agents for Autonomous Clouds: Challenges and Design Principles.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

A Co-Simulation Framework for Communication and Control in Autonomous Multi-Robot Systems.
IROS, 2023

Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

A Lossless Compression Pipeline for Petabyte-Scale Whole Genome Sequencing Data.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Ocularone: Exploring Drones-based Assistive Technologies for the Visually Impaired.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Comparing the Orchestration of Quantum Applications on Hybrid Clouds.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Towards a Mobile App Platform for Personalized UAV Fleets using Edge and Cloud.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

CCGRID 2023: A Holistic Approach to Inclusion and Belonging.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Performance Modelling of Graph Neural Networks.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Enhancing Interval-centric Distributed Computing to Support Incremental Graphs.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

A Lightweight, Mobility-Aware, Geospatial & Temporal Data Store for Multi-UAV Systems.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
Guest editorial: Special issue on the 2020 IEEE symposium on real-time distributed computing (ISORC).
J. Syst. Archit., 2022

DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains.
Concurr. Comput. Pract. Exp., 2022

Don't Miss the Train: A Case for Systems Research into Training on the Edge.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Workshop on Data Fabric for Hybrid Clouds (WDFHC).
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Optimizing the interval-centric distributed computing model for temporal graph algorithms.
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Toward Scientific Workflows in a Serverless World.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

CORNET 2.0: A Co-Simulation Middleware for Robot Networks.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

Pedagogic Practices for Teaching Distributed Systems Courses.
Proceedings of the COMPUTE 2022, Jaipur, India, November 9-11, 2022, 2022

Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
A Scalable Platform for Distributed Object Tracking Across a Many-Camera Network.
IEEE Trans. Parallel Distributed Syst., 2021

VIoLET: An Emulation Environment for Validating IoT Deployments at Large Scales.
ACM Trans. Cyber Phys. Syst., 2021

Cost-Effective Sharing of Streaming Dataflows for IoT Applications.
IEEE Trans. Cloud Comput., 2021

Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Granite: A distributed engine for scalable path queries over temporal property graphs.
J. Parallel Distributed Comput., 2021

CORNET 2.0: A Co-Simulation Middleware forRobot Networks.
CoRR, 2021

Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Event Related Data Collection from Microblog Streams.
Proceedings of the Database and Expert Systems Applications, 2021

Network Emulation For Tele-driving Application Development.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

2020
Characterizing application scheduling on edge, fog, and cloud computing resources.
Softw. Pract. Exp., 2020

GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management.
CoRR, 2020

An Interval-centric Model for Distributed Computing over Temporal Graphs.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

CORNET: A Co-Simulation Middleware for Robot Networks.
Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

A Distributed Path Query Engine for Temporal Property Graphs.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
Big Data and Fog Computing.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

AutoBoT: Resilient and Cost-Effective Scheduling of a Bag of Tasks on Spot VMs.
IEEE Trans. Parallel Distributed Syst., 2019

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade.
ACM Comput. Surv., 2019

DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain.
CoRR, 2019

Characterizing IoT Data and its Quality for Use.
CoRR, 2019

Distributed Algorithms for Subgraph-Centric Graph Platforms.
CoRR, 2019

A Scalable Framework for Distributed Object Tracking across a Many-camera Network.
CoRR, 2019

Toward Resilient Stream Processing on Clouds using Moving Target Defense.
Proceedings of the IEEE 22nd International Symposium on Real-Time Distributed Computing, 2019

A Partition-Centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

A scalable and composable analytics platform for distributed wide-area tracking.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

An Empirical Study on Efficient Storage of Human Genome Data.
Proceedings of the 26th International Conference on High Performance Computing, 2019

SATVAM: Toward an IoT Cyber-Infrastructure for Low-Cost Urban Air Quality Monitoring.
Proceedings of the 15th International Conference on eScience, 2019

Dynamic Scaling of Video Analytics for Wide-Area Tracking in Urban Spaces.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Adaptive Partition Migration for Irregular Graph Algorithms on Elastic Resources.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
Distributed Scheduling of Event Analytics across Edge and Cloud.
ACM Trans. Cyber Phys. Syst., 2018

Towards a data-driven IoT software architecture for smart city utilities.
Softw. Pract. Exp., 2018

Cover Image.
Softw. Pract. Exp., 2018

Model-driven scheduling for distributed stream processing systems.
J. Parallel Distributed Comput., 2018

Scalable Graph Processing Frameworks: A Taxonomy and Open Challenges.
ACM Comput. Surv., 2018

Toward SATVAM: An IoT Network for Air Quality Monitoring.
CoRR, 2018

Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

VIoLET: A Large-Scale Virtual Environment for Internet of Things.
Proceedings of the Euro-Par 2018: Parallel Processing, 2018

Adaptive Energy-Aware Scheduling of Dynamic Event Analytics Across Edge and Cloud Resources.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017
Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams.
Future Gener. Comput. Syst., 2017

Big Data and Fog Computing.
CoRR, 2017

RIoTBench: A Real-time IoT Benchmark for Distributed Stream Processing Platforms.
CoRR, 2017

ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge.
CoRR, 2017

ARM Wrestling with Big Data: A Study of ARM64 and x64 Servers for Data Intensive Workloads.
CoRR, 2017

RIoTBench: An IoT benchmark for distributed stream processing systems.
Concurr. Comput. Pract. Exp., 2017

Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure.
Concurr. Comput. Pract. Exp., 2017

An Open Smart City IoT Test Bed: Street Light Poles as Smart City Spines: Poster Abstract.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

\mathbb ECHO : An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

Distributed Video Analytics Across Edge and Cloud Using \mathbb ECHO.
Proceedings of the Service-Oriented Computing - ICSOC 2017 Workshops, 2017

Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions.
Proceedings of the 1st IEEE International Conference on Fog and Edge Computing, 2017

ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

Characterization of Vertex-Centric Breadth First Search for Lattice Graphs.
Proceedings of the 24th IEEE International Conference on High Performance Computing Workshops, 2017

Collaborative Reuse of Streaming Dataflows in IoT Applications.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
Cloud computing for data-driven science and engineering.
Concurr. Comput. Pract. Exp., 2016

Benchmarking Distributed Stream Processing Platforms for IoT Applications.
Proceedings of the Performance Evaluation and Benchmarking. Traditional - Big Data - Interest of Things, 2016

GoDB: From Batch Processing to Distributed Querying over Property Graphs.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Elastic Partition Placement for Non-stationary Graph Algorithms.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

A meta-graph approach to analyze subgraph-centric distributed programming models.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Holistic Measures for Evaluating Prediction Models in Smart Grids.
IEEE Trans. Knowl. Data Eng., 2015

Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud Infrastructure.
IEEE Trans. Cloud Comput., 2015

Editorial: Scalable Systems for Big Data Management and Analytics.
J. Parallel Distributed Comput., 2015

Towards a Practical Architecture for the Next Generation Internet of Things.
CoRR, 2015

An Interoperable Realization of Smart Cities with Plug and Play based Device Management.
CoRR, 2015

Elastic Resource Allocation for Distributed Graph Processing Platforms.
CoRR, 2015

Partitioning Strategies for Load Balancing Subgraph-centric Distributed Graph Processing.
CoRR, 2015

Benchmarking Fast-Data Platforms for the Aadhaar Biometric Database.
Proceedings of the Big Data Benchmarking, 2015

Prediction models for dynamic demand response: Requirements, challenges, and insights.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Distributed Programming over Time-Series Graphs.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Analysis of Subgraph-Centric Distributed Shortest Path Algorithm.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Fault-Tolerant and Elastic Streaming MapReduce with Decentralized Coordination.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014
Scalable Analytics over Distributed Time-series Graphs using GoFFish.
CoRR, 2014

Floe: A Continuous Dataflow Framework for Dynamic Cloud Applications.
CoRR, 2014

Towards a Practical Architecture for India Centric Internet of Things.
CoRR, 2014

Cost-Efficient and Resilient Job Life-Cycle Management on Hybrid Clouds.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

GoFFish: A Sub-graph Centric Framework for Large-Scale Graph Analytics.
Proceedings of the Euro-Par 2014 Parallel Processing, 2014

Event Processing across Edge and the Cloud for Internet of Things Applications.
Proceedings of the 20th International Conference on Management of Data, 2014

Subgraph Rank: PageRank for Subgraph-Centric Distributed Graph Processing.
Proceedings of the 20th International Conference on Management of Data, 2014

PLAStiCC: Predictive Look-Ahead Scheduling for Continuous Dataflows on Clouds.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
Cloud-Based Software Platform for Big Data Analytics in Smart Grids.
Comput. Sci. Eng., 2013

On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid.
CoRR, 2013

Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms.
CoRR, 2013

Energy management systems: state of the art and emerging trends.
IEEE Commun. Mag., 2013

Exploiting application dynamism and cloud elasticity for continuous dataflows.
Proceedings of the International Conference for High Performance Computing, 2013

Optimizations and Analysis of BSP Graph Processing Models on Public Clouds.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Continuous Dataflow Update Strategies for Mission-Critical Applications.
Proceedings of the 9th IEEE International Conference on eScience, 2013

Towards hybrid online on-demand querying of realtime data with stateful complex event processing.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Scalable prediction of energy consumption using incremental time series clustering.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids.
Proceedings of the Semantic Web - ISWC 2012, 2012

Semantic Information Modeling for Emerging Applications in Smart Grid.
Proceedings of the Ninth International Conference on Information Technology: New Generations, 2012

On Presenting Apropos Provenance for Situation Awareness and Data Forensics.
Proceedings of the Provenance and Annotation of Data and Processes, 2012

Cryptonite: A Secure and Performant Data Repository on Public Clouds.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
Querying Provenance Information in Distributed Environments.
Int. J. Comput. Their Appl., 2011

Using Provenance for Personalized Quality Ranking of Scientific Datasets.
Int. J. Comput. Their Appl., 2011

Guest Editorial: Scientific Workflows, Provenance and Their Applications.
Int. J. Comput. Their Appl., 2011

Special Section: The third provenance challenge on using the open provenance model for interoperability.
Future Gener. Comput. Syst., 2011

Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench.
Future Gener. Comput. Syst., 2011

The Open Provenance Model core specification (v1.1).
Future Gener. Comput. Syst., 2011

Toward data-driven demand-response optimization in a campus microgrid.
Proceedings of the BuildSys 2011, 2011

Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Towards an inexact semantic complex event processing framework.
Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, 2011

Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms.
Proceedings of the 11th IEEE/ACM International Symposium on Cluster, 2011

An Analysis of Security and Privacy Issues in Smart Grid Software Architectures on Clouds.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

2010
Provenance for Scientific Workflows Towards Reproducible Research.
IEEE Data Eng. Bull., 2010

Social Web-Scale Provenance in the Cloud.
Proceedings of the Provenance and Annotation of Data and Processes, 2010

Comparison of resource platform selection approaches for scientific workflows.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Bridging the Gap between Desktop and the Cloud for eScience Applications.
Proceedings of the IEEE International Conference on Cloud Computing, 2010

2009
Provenance Information Model of Karma Version 3.
Proceedings of the 2009 IEEE Congress on Services, Part I, 2009

Semantically Annotated Provenance in the Life Science Grid.
Proceedings of the First International Workshop on the role of Semantic Web in Provenance Management (SWPM 2009), 2009

GrayWulf: Scalable Software Architecture for Data Intensive Computing.
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

Building Reliable Data Pipelines for Managing Community Data Using Scientific Workflows.
Proceedings of the Fifth International Conference on e-Science, 2009

2008
Karma2: Provenance Management for Data-Driven Workflows.
Int. J. Web Serv. Res., 2008

Query capabilities of the Karma provenance framework.
Concurr. Comput. Pract. Exp., 2008

Special Issue: The First Provenance Challenge.
Concurr. Comput. Pract. Exp., 2008

End-to-End Scientific Data Management Using Workflows.
Proceedings of the 2008 IEEE Congress on Services, Part I, 2008

On Building Scientific Workflow Systems for Data Management in the Cloud.
Proceedings of the Fourth International Conference on e-Science, 2008

The Trident Scientific Workflow Workbench.
Proceedings of the Fourth International Conference on e-Science, 2008

Efficient scheduling of scientific workflows in a high performance computing cluster.
Proceedings of the 6th International Workshop on Challenges of Large Applications in Distributed Environments, 2008

2007
Realization of Dynamically Adaptive Weather Analysis and Forecasting in LEAD: Four Years Down the Road.
Proceedings of the Computational Science, 2007

Dynamic, Adaptive Workflows for Mesoscale Meteorology.
Proceedings of the Workflows for e-Science, Scientific Workflows for Grids., 2007

2006
Performance Evaluation of the Karma Provenance Framework for Scientific Workflows.
Proceedings of the Provenance and Annotation of Data, 2006

Data Management in Dynamic Environment-driven Computational Science.
Proceedings of the Grid-Based Problem Solving Environments, 2006

A Framework for Collecting Provenance in Data-Centric Scientific Workflows.
Proceedings of the 2006 IEEE International Conference on Web Services (ICWS 2006), 2006

Towards a Quality Model for Effective Data Selection in Collaboratories.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

Building e-Science Portals: A Service Oriented Architecture.
Proceedings of the High Performance Computing and Grids in Action, 2006

2005
A survey of data provenance in e-science.
SIGMOD Rec., 2005

Building Grid Portal Applications From a Web Service Component Architecture.
Proc. IEEE, 2005

On Building Parallel & Grid Applications: Component Technology and Distributed Services.
Clust. Comput., 2005

Service Oriented Architectures for Science Gateways on Grid Systems.
Proceedings of the Service-Oriented Computing, 2005

2002
The XCAT Science Portal.
Sci. Program., 2002

Programming the Grid: Distributed Software Components, P2P and Grid Web Services for Scientific Applications.
Clust. Comput., 2002


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