Yogesh Simmhan

242 papers A* 2A 11B 17C 4Misc 12Journal 119Unranked 69

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AeroDaaS: A Programmable Drones-as-a-Service Platform for Intelligent Aerial Systems. CoRR Kautuk Astu, Suman Raj, Priyanshu Pansari, Yogesh Simmhan
2026	J	`jnl`	AeroGen: Agentic Drone Autonomy through Single-Shot Structured Prompting & Drone SDK. CoRR Kautuk Astu, Yogesh Simmhan
2026	J	`jnl`	Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly. IEEE Trans. Parallel Distributed Syst. Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Abhinandan S. Prasad, Chitra Babu, Yogesh Simmhan
2026	J	`jnl`	Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs. CoRR Nathan Ng, Walid A. Hanafy, Prashanthi Kadambi, Balachandra Sunil, Ayush Gupta, David Irwin, Yogesh Simmhan, Prashant J. Shenoy
2026	J	`jnl`	Folding-Free Zero-Noise Extrapolation by Layout-induced Noise Diversity. CoRR Debarthi Pal, Yogesh Simmhan
2026	J	`jnl`	OptimES: Optimizing federated learning using remote embeddings for graph neural networks. J. Parallel Distributed Comput. Pranjal Naman, Yogesh Simmhan
2026	J	`jnl`	Optimizing FaaS Platforms for MCP-enabled Agentic Workflows. CoRR Varad Kulkarni, Vaibhav Jha, Nikhil Reddy, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan
2026	J	`jnl`	RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs. CoRR Pranjal Naman, Parv Agarwal, Hrishikesh Haritas, Yogesh Simmhan
2026	J	`jnl`	Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks. CoRR Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali, Yogesh Simmhan
2025	B	`ed.`	18th IEEE International Conference on Cloud Computing, CLOUD 2025, Helsinki, Finland, July 7-12, 2025 CLOUD Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi Atukorala, Dan Chen, Sumi Helal, Sasu Tarkoma, Qiang He, Tevfik Kosar, Claudio A. Ardagna, Feras Awaysheh, Volker Hilt, Yogesh Simmhan
2025	—	`ed.`	2025 IEEE International Conference on Edge Computing and Communications (EDGE), IEEE EDGE 2025, Helsinki, Finland, July 7-12, 2025 EDGE Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi Atukorala, Dan Chen, Sumi Helal, Sasu Tarkoma, Qiang He, Tevfik Kosar, Claudio A. Ardagna, Feras M. Awaysheh, Volker Hilt, Yogesh Simmhan
2025	—	`conf`	A Blockchain-Enabled Framework for Storage and Retrieval of Social Data. IPDPS (Workshops) Aishwarya Parab, Prakhar Pradhan, Yogesh Simmhan, Arnab K. Paul
2025	J	`jnl`	A Blockchain-Enabled Framework for Storage and Retrieval of Social Data. CoRR Aishwarya Parab, Prakhar Pradhan, Yogesh Simmhan, Arnab K. Paul
2025	—	`conf`	A GPU is All You Need: Rethinking Distributed and Out-of-Core GNN Training. HiPCW Pranjal Naman, Yogesh Simmhan
2025	—	`conf`	AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. MLSys Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
2025	J	`jnl`	AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. CoRR Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
2025	J	`jnl`	Adaptive heuristics for scheduling DNN inferencing on edge and cloud for personalized UAV fleets. Future Gener. Comput. Syst. Suman Raj, Radhika Mittal, Harshil Gupta, Yogesh Simmhan
2025	J	`jnl`	AerialDB: A Federated Peer-to-Peer Spatio-temporal Edge Datastore for Drone Fleets. CoRR Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan
2025	J	`jnl`	AerialDB: A federated peer-to-peer spatio-temporal edge datastore for drone fleets. Pervasive Mob. Comput. Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan
2025	A	`conf`	AeroDaaS: Towards an Application Programming Framework for Drones-as-a-Service. ICWS Suman Raj, Rajdeep Singh, Kautuk Astu, Yogesh Simmhan
2025	J	`jnl`	AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios. CoRR Suman Raj, Radhika Mittal, Rajiv Mayani, Pawel Zuk, Anirban Mandal, Michael Zink, Yogesh Simmhan, Ewa Deelman
2025	J	`jnl`	AgentX: Towards Orchestrating Robust Agentic Workflow Patterns with FaaS-hosted MCP Services. CoRR Shiva Sai Krishna Anand Tokal, Vaibhav Jha, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan
2025	—	`conf`	Analysis of Streaming Inference Pipeline for Edge Accelerators. HiPCW Mayank Arya, Priyanshu Pansari, Yogesh Simmhan
2025	—	`conf`	Benchmarking WebAssembly on Edge Devices. HiPCW Yash Kamble, Sankalp Gawali, Yogesh Simmhan
2025	J	`jnl`	CARL: Cost-Optimized Online Container Placement on VMs Using Adversarial Reinforcement Learning. IEEE Trans. Cloud Comput. Prathamesh Saraf Vinayak, Saswat Subhajyoti Mallick, Lakshmi Jagarlamudi, Anirban Chakraborty, Yogesh Simmhan
2025	J	`jnl`	Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly. CoRR Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Abhinandan S. Prasad, Chitra Babu, Yogesh Simmhan
2025	J	`jnl`	Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. CoRR Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan
2025	—	`conf`	D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data. EDGE Harsha Varun Marisetty, Manik Gupta, Yogesh Simmhan
2025	J	`jnl`	D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data. CoRR Harsha Varun Marisetty, Manik Gupta, Yogesh Simmhan
2025	J	`jnl`	Distance Estimation to Support Assistive Drones for the Visually Impaired using Robust Calibration. CoRR Suman Raj, Bhavani A Madhabhavi, Madhav Kumar, Prabhav Gupta, Yogesh Simmhan
2025	—	`conf`	Early Pedagogical Insights from using AI Tutor Agents in a Graduate-level Systems Course. HiPCW Varad Kulkarni, Nikhil Reddy, Yogesh Simmhan
2025	J	`jnl`	Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device. CoRR Mumuksh Tayal, Yogesh Simmhan
2025	—	`conf`	FLandroid: Towards Federated Learning for Android Edge Devices. HiPCW Amit Sharma, Chinmay Mhatre, Punit Rathore, Nitin Auluck, Yogesh Simmhan
2025	—	`conf`	Federated Learning Within Global Energy Budget over Heterogeneous Edge Accelerators. Euro-Par (1) Roopkatha Banerjee, Tejus Chandrashekar, Ananth Eswar, Yogesh Simmhan
2025	J	`jnl`	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators. CoRR Roopkatha Banerjee, Tejus Chandrashekar, Ananth Eswar, Yogesh Simmhan
2025	J	`jnl`	Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources. CoRR Roopkatha Banerjee, Prince Modi, Jinal Vyas, Chunduru Sri Abhijit, Tejus Chandrashekar, Harsha Varun Marisetty, Manik Gupta, Yogesh Simmhan
2025	J	`jnl`	Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources. J. Parallel Distributed Comput. Roopkatha Banerjee, Prince Modi, Jinal Vyas, Chunduru Sri Abhijit, Tejus Chandrashekar, Harsha Varun Marisetty, Manik Gupta, Yogesh Simmhan
2025	J	`jnl`	Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators. CoRR Prashanthi S. K, Saisamarth Taluri, Pranav Gupta, Amartya Ranjan Saikia, Kunal Kumar Sahoo, Atharva Vinay Joshi, Lakshya Karwa, Kedar Dhule, Yogesh Simmhan
2025	J	`jnl`	Lightweight Targeted Estimation of Layout Noise in a Quantum Computer using Quality Indicator Circuits. CoRR Shikhar Srivastava, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan
2025	—	`conf`	Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired. IPDPS (Workshops) Suman Raj, Bhavani A Madhabhavi, Kautuk Astu, Arnav A Rajesh, Pratham M, Yogesh Simmhan
2025	J	`jnl`	Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired. CoRR Suman Raj, Bhavani A Madhabhavi, Kautuk Astu, Arnav A Rajesh, Pratham M, Yogesh Simmhan
2025	J	`jnl`	OptimES: Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks. CoRR Pranjal Naman, Yogesh Simmhan
2025	—	`conf`	Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids. eScience Roopkatha Banerjee, Sampath Koti, Gyanendra Singh, Anirban Chakraborty, Gurunath Gurrala, Bhushan Jagyasi, Yogesh Simmhan
2025	J	`jnl`	Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids. CoRR Roopkatha Banerjee, Sampath Koti, Gyanendra Singh, Anirban Chakraborty, Gurunath Gurrala, Bhushan Jagyasi, Yogesh Simmhan
2025	J	`jnl`	Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks. CoRR Pranjal Naman, Yogesh Simmhan
2025	J	`jnl`	Pagoda: An Energy and Time Roofline Study for DNN Workloads on Edge Accelerators. CoRR Prashanthi S. K, Kunal Kumar Sahoo, Amartya Ranjan Saikia, Pranav Gupta, Atharva Vinay Joshi, Priyanshu Pansari, Yogesh Simmhan
2025	—	`conf`	Pedagogy Meets AI & Systems: Towards Orchestrating Tutor Agents in Moodle using FaaS. HiPCW Varad Kulkarni, Nikhil Reddy, Yogesh Simmhan
2025	—	`ed.`	Proceedings of the 22nd ACM International Conference on Computing Frontiers, CF 2025, Cagliari, Italy, May 28-30, 2025 CF Francesca Palumbo, Antonino Tumeo, Ana Lucia Varbanescu, Yogesh Simmhan
2025	—	`ed.`	Proceedings of the 22nd ACM International Conference on Computing Frontiers: Workshops and Special Sessions, CF 2025, Cagliari, Italy, May 28-30, 2025 CF (Companion) Francesca Palumbo, Antonino Tumeo, Ana Lucia Varbanescu, Yogesh Simmhan
2025	A	`conf`	Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs. ICDCS Pranjal Naman, Yogesh Simmhan
2025	J	`jnl`	Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs. CoRR Pranjal Naman, Yogesh Simmhan
2025	J	`jnl`	SAGESERVE: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling. Proc. ACM Meas. Anal. Comput. Syst. Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
2025	J	`jnl`	Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale. CoRR Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
2025	J	`jnl`	The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic. CoRR Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Kishore, Vishwajeet Pattanaik, Tarun Rambha, Abdul R. Pinjari, Vijay Kovvali, Anirban Chakraborty, Punit Rathore, Raghu Krishnapuram, Yogesh Simmhan
2025	J	`jnl`	Towards AI Agents for Course Instruction in Higher Education: Early Experiences from the Field. CoRR Yogesh Simmhan, Varad Kulkarni
2025	—	`conf`	Towards Building Trustworthy Data Provenance for Agentic Workflows. HiPCW Aishwarya Parab, Prakhar Pradhan, Manit Tanwar, Yogesh Simmhan, Arnab K. Paul
2025	—	`conf`	Towards Orchestrating Agentic Applications as FaaS Workflows. IPDPS (Workshops) Shiva Sai Krishna Anand Tokal, Vaibhav Jha, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan
2025	J	`jnl`	Towards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired. CoRR Suman Raj, Swapnil Padhi, Ruchi Bhoot, Prince Modi, Yogesh Simmhan
2025	—	`conf`	Towards Scalable Mining of Temporal Graph Motifs over Large-Scale Transaction Networks. HiPCW Hrishikesh Haritas, Abhinav Rawat, Pranjal Naman, Ganesh Jambhrunkar, Amit Khandelwal, Saurav Singla, Yogesh Simmhan
2025	J	`jnl`	Towards a Drones-as-a-Service Platform for Application Programming. CoRR Suman Raj, Rajdeep Singh, Kautuk Astu, Yogesh Simmhan
2025	—	`conf`	Towards an Agentic AI Design across Edge and Cloud. HiPCW Shiva Sai Krishna Anand Tokal, Vaibhav Jha, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan
2025	J	`jnl`	Triparts: Scalable Streaming Graph Partitioning to Enhance Community Structure. Proc. VLDB Endow. Ruchi Bhoot, Tuhin Khare, Manoj Agarwal, Siddharth D. Jaiswal, Yogesh Simmhan
2025	—	`conf`	Understanding the Performance and Power of LLM Inferencing on Edge Accelerators. IPDPS (Workshops) Mayank Arya, Yogesh Simmhan
2025	J	`jnl`	Understanding the Performance and Power of LLM Inferencing on Edge Accelerators. CoRR Mayank Arya, Yogesh Simmhan
2024	—	`conf`	A Preliminary Performance Analysis of LLM Inference on Edge Accelerators. HIPCW Mayank Arya, Yogesh Simmhan
2024	J	`jnl`	Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. CoRR Suman Raj, Radhika Mittal, Harshil Gupta, Yogesh Simmhan
2024	J	`jnl`	Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning. Trans. Mach. Learn. Res. M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Simmhan, Anirban Chakraborty
2024	—	`conf`	Building AI Agents for Autonomous Clouds: Challenges and Design Principles. SoCC Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024	J	`jnl`	Building AI Agents for Autonomous Clouds: Challenges and Design Principles. CoRR Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024	—	`conf`	Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device. HIPCW Mumuksh Tayal, Yogesh Simmhan
2024	J	`jnl`	Improved Algorithms for Co-Scheduling of Edge Analytics and Routes for UAV Fleet Missions. IEEE/ACM Trans. Netw. Aakash Khochare, Francesco Betti Sorbelli, Yogesh Simmhan, Sajal K. Das
2024	—	`conf`	Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks. Euro-Par (2) Pranjal Naman, Yogesh Simmhan
2024	—	`conf`	Performance Trade-offs in GNN Inference: An Early Study on Hardware and Sampling Configurations. HIPCW Pranjal Naman, Yogesh Simmhan
2024	J	`jnl`	PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges. CoRR Prashanthi S. K, Saisamarth Taluri, Beautlin S, Lakshya Karwa, Yogesh Simmhan
2024	J	`jnl`	PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges. Future Gener. Comput. Syst. Prashanthi S. K, Saisamarth Taluri, Beautlin S, Lakshya Karwa, Yogesh Simmhan
2024	—	`conf`	Protocol for Trustful Data Consumption from Data Repositories by Workflow Engines. HIPCW Shiva Sai Krishna Anand Tokal, Srinath Perera, Yogesh Simmhan
2024	J	`jnl`	TARIS: Scalable Incremental Processing of Time-Respecting Algorithms on Streaming Graphs. IEEE Trans. Parallel Distributed Syst. Ruchi Bhoot, Suved Sanjay Ghanmode, Yogesh Simmhan
2024	—	`conf`	Topology-Aware Aggregation for Federated Graph Learning. Euro-Par Workshops (2) Pranjal Naman, Yogesh Simmhan
2024	—	`conf`	Towards Optimizing Hyperledger Fabric Performance through Strategic Waiting. HIPCW Divya Pulivarthi, S. R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Pavan Sollu, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan
2024	—	`conf`	Towards Platform-aware Application of Qubit Reuse in Hybrid Quantum-Classical Workflows. HIPCW Shikhar Srivastava, Mridulanka Nath, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan
2024	—	`conf`	Towards a Generalized SDK for a Programmable Drones-as-a-Service. HIPCW Suman Raj, Rajdeep Singh, Kautuk Astu, Yogesh Simmhan
2024	B	`conf`	XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms. CCGrid Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika D, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S. Prasad, Yogesh Simmhan
2023	—	`ed.`	23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023 - Workshops, Bangalore, India, May 1-4, 2023 CCGridW Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale
2023	B	`ed.`	23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023 CCGrid Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale
2023	C	`ed.`	7th IEEE International Conference on Fog and Edge Computing, ICFEC 2023, Bangalore, India, May 1-4, 2023 ICFEC Blesson Varghese, Cristina L. Abad, Yogesh Simmhan, Khalid Elgazzar, Stefan Schulte, Abhinandan S. Prasad, Lorenzo Carnevale
2023	A	`conf`	A Co-Simulation Framework for Communication and Control in Autonomous Multi-Robot Systems. IROS Srikrishna Acharya, Mukunda Bharatheesha, Yogesh Simmhan, Bharadwaj Amrutur
2023	—	`conf`	A Lightweight, Mobility-Aware, Geospatial & Temporal Data Store for Multi-UAV Systems. CCGridW Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan
2023	Misc	`conf`	A Lossless Compression Pipeline for Petabyte-Scale Whole Genome Sequencing Data. HiPC Ajeya Bhat, Sai Manasa Chadalavada, Nagakishore Jammula, Chirag Jain, Yogesh Simmhan
2023	B	`conf`	CCGRID 2023: A Holistic Approach to Inclusion and Belonging. CCGrid Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan
2023	—	`conf`	Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. SIGMETRICS (Abstracts) Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan
2023	—	`conf`	Comparing the Orchestration of Quantum Applications on Hybrid Clouds. CCGridW Rajiv Sangle, Tuhin Khare, Padmanabha Venkatagiri Seshadri, Yogesh Simmhan
2023	—	`conf`	Enhancing Interval-centric Distributed Computing to Support Incremental Graphs. CCGridW Varad Kulkarni, Ruchi Bhoot, Animesh Baranawal, Yogesh Simmhan
2023	—	`conf`	Ocularone: Exploring Drones-based Assistive Technologies for the Visually Impaired. CHI Extended Abstracts Suman Raj, Swapnil Padhi, Yogesh Simmhan
2023	Misc	`conf`	Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques. QCE Tuhin Khare, Ritajit Majumdar, Rajiv Sangle, Anupama Ray, Padmanabha Venkatagiri Seshadri, Yogesh Simmhan
2023	Misc	`conf`	Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. HiPC Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan
2023	J	`jnl`	Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. CoRR Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan
2023	—	`conf`	Performance Modelling of Graph Neural Networks. CCGridW Pranjal Naman, Yogesh Simmhan
2023	B	`conf`	Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets. CCGrid Suman Raj, Harshil Gupta, Yogesh Simmhan
2023	—	`conf`	To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks. CCGridW Varad Kulkarni, Akarsh Chaturvedi, Pranjal Naman, Yogesh Simmhan
2023	—	`conf`	Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges. CCGridW Prashanthi S. K, Vinayaka Hegde, Yogesh Simmhan
2023	—	`conf`	Towards a Mobile App Platform for Personalized UAV Fleets using Edge and Cloud. CCGridW Suman Raj, Yogesh Simmhan
2023	B	`conf`	XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds. CCGrid Aakash Khochare, Tuhin Khare, Varad Kulkarni, Yogesh Simmhan
2022	C	`ed.`	6th IEEE International Conference on Fog and Edge Computing, ICFEC 2022, Messina, Italy, May 16-19, 2022 ICFEC Lena Mashayekhy, Stefan Schulte, Valeria Cardellini, Burak Kantarci, Yogesh Simmhan, Blesson Varghese
2022	—	`ed.`	CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 - 10, 2022 COMAD/CODS Gargi Dasgupta, Yogesh Simmhan, Balaji Vasan Srinivasan, Sourav S. Bhowmick, Amith Singhee, Maya Ramanath, Nipun Batra, Abhinandan S. Prasad
2022	Misc	`conf`	CORNET 2.0: A Co-Simulation Middleware for Robot Networks. COMSNETS Srikrishna Acharya, Bharadwaj Amrutur, Mukunda Bharathesa, Yogesh Simmhan
2022	J	`jnl`	DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains. Concurr. Comput. Pract. Exp. Shrey Baheti, Parwat Singh Anjana, Sathya Peri, Yogesh Simmhan
2022	—	`conf`	Don't Miss the Train: A Case for Systems Research into Training on the Edge. IPDPS Workshops Prashanthi S. K, Aakash Khochare, Sai Anuroop Kesanapalli, Rahul Atul Bhope, Yogesh Simmhan
2022	J	`jnl`	Guest editorial: Special issue on the 2020 IEEE symposium on real-time distributed computing (ISORC). J. Syst. Archit. Tommaso Cucinotta, Frank Mueller, Yogesh Simmhan
2022	A	`conf`	Optimizing the interval-centric distributed computing model for temporal graph algorithms. EuroSys Animesh Baranawal, Yogesh Simmhan
2022	—	`conf`	Pedagogic Practices for Teaching Distributed Systems Courses. COMPUTE Yogesh Simmhan
2022	B	`conf`	Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources. CCGRID Prateeksha Varshney, Shriram Ramesh, Shayal Chhabra, Aakash Khochare, Yogesh Simmhan
2022	J	`jnl`	Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources. CoRR Prateeksha Varshney, Shriram Ramesh, Shayal Chhabra, Aakash Khochare, Yogesh Simmhan
2022	B	`conf`	Toward Scientific Workflows in a Serverless World. e-Science Aakash Khochare, Yogesh Simmhan, Sameep Mehta, Arvind Agarwal
2022	—	`conf`	Workshop on Data Fabric for Hybrid Clouds (WDFHC). HiPCW Yogesh Simmhan, Sameep Mehta
2021	J	`jnl`	A Scalable Platform for Distributed Object Tracking Across a Many-Camera Network. IEEE Trans. Parallel Distributed Syst. Aakash Khochare, Aravindhan Krishnan, Yogesh Simmhan
2021	—	`ed.`	CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, Virtual Event, Bangalore, India, January 2-4, 2021 COMAD/CODS Jayant R. Haritsa, Shourya Roy, Manish Gupta, Sharad Mehrotra, Balaji Vasan Srinivasan, Yogesh Simmhan
2021	J	`jnl`	CORNET 2.0: A Co-Simulation Middleware forRobot Networks. CoRR Srikrishna Acharya, Bharadwaj Amrutur, Mukunda Bharatheesha, Yogesh Simmhan
2021	J	`jnl`	Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. Proc. ACM Meas. Anal. Comput. Syst. Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan
2021	J	`jnl`	Cost-Effective Sharing of Streaming Dataflows for IoT Applications. IEEE Trans. Cloud Comput. Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan
2021	—	`conf`	Event Related Data Collection from Microblog Streams. DEXA (2) Manoj K. Agarwal, Animesh Baranawal, Yogesh Simmhan, Manish Gupta
2021	J	`jnl`	Granite: A distributed engine for scalable path queries over temporal property graphs. J. Parallel Distributed Comput. Shriram Ramesh, Animesh Baranawal, Yogesh Simmhan
2021	A*	`conf`	Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions. INFOCOM Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli, Sajal K. Das
2021	J	`jnl`	Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions. CoRR Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli, Sajal K. Das
2021	Misc	`conf`	Network Emulation For Tele-driving Application Development. COMSNETS Srikrishna Acharya, S. Sadgun S. Devanahalli, Alok Rawat, Kuruvilla Varghese, Pratik Sharma, Bharadwaj Amrutur, Ashish Joglekar, Raghu Krishnapuram, Yogesh Simmhan, Himanshu Tyagi
2021	J	`jnl`	VIoLET: An Emulation Environment for Validating IoT Deployments at Large Scales. ACM Trans. Cyber Phys. Syst. Shrey Baheti, Shreyas Badiger, Yogesh Simmhan
2020	B	`conf`	A Distributed Path Query Engine for Temporal Property Graphs. CCGRID Shriram Ramesh, Animesh Baranawal, Yogesh Simmhan
2020	J	`jnl`	A Distributed Path Query Engine for Temporal Property Graphs. CoRR Shriram Ramesh, Animesh Baranawal, Yogesh Simmhan
2020	A*	`conf`	An Interval-centric Model for Distributed Computing over Temporal Graphs. ICDE Swapnil Gandhi, Yogesh Simmhan
2020	Misc	`conf`	CORNET: A Co-Simulation Middleware for Robot Networks. COMSNETS Srikrishna Acharya, Bharadwaj S. Amrutur, Yogesh Simmhan, Aditya Gopalan, Parimal Parag, Himanshu Tyagi
2020	J	`jnl`	Characterizing application scheduling on edge, fog, and cloud computing resources. Softw. Pract. Exp. Prateeksha Varshney, Yogesh Simmhan
2020	J	`jnl`	GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management. CoRR Yogesh Simmhan, Tarun Rambha, Aakash Khochare, Shriram Ramesh, Animesh Baranawal, John Varghese George, Rahul Atul Bhope, Amrita Namtirtha, Amritha Sundararajan, Sharath Suresh Bhargav, Nihar Thakkar, Raj Kiran
2020	—	`conf`	TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage. Euro-Par Dhruv Garg, Prathik Shirolkar, Anshu Shukla, Yogesh Simmhan
2019	J	`jnl`	A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. ACM Comput. Surv. Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen
2019	—	`conf`	A Partition-Centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs. IPDPS Workshops Siddharth D. Jaiswal, Yogesh Simmhan
2019	J	`jnl`	A Partition-centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs. CoRR Siddharth D. Jaiswal, Yogesh Simmhan
2019	J	`jnl`	A Scalable Framework for Distributed Object Tracking across a Many-camera Network. CoRR Aakash Khochare, Aravindhan Krishnan, Yogesh Simmhan
2019	Misc	`conf`	A scalable and composable analytics platform for distributed wide-area tracking. ICDCN Aakash Khochare, Yogesh Simmhan
2019	B	`conf`	Adaptive Partition Migration for Irregular Graph Algorithms on Elastic Resources. CLOUD Ravikant Dindokar, Yogesh Simmhan
2019	—	`conf`	An Empirical Study on Efficient Storage of Human Genome Data. HiPC Workshops Diksha Chaudhary, Bratati Kahali, Yogesh Simmhan
2019	J	`jnl`	AutoBoT: Resilient and Cost-Effective Scheduling of a Bag of Tasks on Spot VMs. IEEE Trans. Parallel Distributed Syst. Prateeksha Varshney, Yogesh Simmhan
2019	—	`ch.`	Big Data and Fog Computing. Encyclopedia of Big Data Technologies Yogesh Simmhan
2019	J	`jnl`	Characterizing Application Scheduling on Edge, Fog and Cloud Computing Resources. CoRR Prateeksha Varshney, Yogesh Simmhan
2019	J	`jnl`	Characterizing IoT Data and its Quality for Use. CoRR Nashez Zubair, Niranjan A, Kiran Hebbar, Yogesh Simmhan
2019	J	`jnl`	DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain. CoRR Shrey Baheti, Parwat Singh Anjana, Sathya Peri, Yogesh Simmhan
2019	J	`jnl`	Distributed Algorithms for Subgraph-Centric Graph Platforms. CoRR Diptanshu Kakwani, Yogesh Simmhan
2019	B	`conf`	Dynamic Scaling of Video Analytics for Wide-Area Tracking in Urban Spaces. CCGRID Aakash Khochare, Sheshadri K. R, Shriram R., Yogesh Simmhan
2019	A	`conf`	ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources. ICWS Sumit Kumar Monga, Sheshadri K. R, Yogesh Simmhan
2019	J	`jnl`	ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources. CoRR Sumit Kumar Monga, Sheshadri K. R, Yogesh Simmhan
2019	—	`conf`	SATVAM: Toward an IoT Cyber-Infrastructure for Low-Cost Urban Air Quality Monitoring. eScience Yogesh Simmhan, Malati Hegde, Rajesh Zele, Sachchida N. Tripathi, Srijith Nair, Sumit K. Monga, Ravi Sahu, Kuldeep Dixit, Ronak Sutaria, Brijesh Mishra, Anamika Sharma, Anand SVR
2019	C	`conf`	Toward Resilient Stream Processing on Clouds using Moving Target Defense. ISORC Shilpa Chaturvedi, Yogesh Simmhan
2018	B	`conf`	Adaptive Energy-Aware Scheduling of Dynamic Event Analytics Across Edge and Cloud Resources. CCGrid Rajrup Ghosh, Siva Prakash Reddy Komma, Yogesh Simmhan
2018	J	`jnl`	Adaptive Energy-aware Scheduling of Dynamic Event Analytics across Edge and Cloud Resources. CoRR Rajrup Ghosh, Siva Prakash Reddy Komma, Yogesh Simmhan
2018	J	`jnl`	Cover Image. Softw. Pract. Exp. Yogesh Simmhan, Pushkara Ravindra, Shilpa Chaturvedi, Malati Hegde, Rashmi Ballamajalu
2018	J	`jnl`	Distributed Scheduling of Event Analytics across Edge and Cloud. ACM Trans. Cyber Phys. Syst. Rajrup Ghosh, Yogesh Simmhan
2018	J	`jnl`	Model-driven scheduling for distributed stream processing systems. J. Parallel Distributed Comput. Anshu Shukla, Yogesh Simmhan
2018	J	`jnl`	Scalable Graph Processing Frameworks: A Taxonomy and Open Challenges. ACM Comput. Surv. Safiollah Heidari, Yogesh Simmhan, Rodrigo N. Calheiros, Rajkumar Buyya
2018	A	`conf`	Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds. ICDCS Anshu Shukla, Yogesh Simmhan
2018	J	`jnl`	Toward SATVAM: An IoT Network for Air Quality Monitoring. CoRR Rashmi Ballamajalu, Srijith Nair, Shayal Chhabra, Sumit K. Monga, Anand SVR, Malati Hegde, Yogesh Simmhan, Anamika Sharma, Chandan M. Choudhary, Ronak Sutaria, Rajesh Zele, Sachchida N. Tripathi
2018	J	`jnl`	Towards a Data-driven IoT Software Architecture for Smart City Utilities. CoRR Yogesh Simmhan, Pushkara Ravindra, Shilpa Chaturvedi, Malati Hegde, Rashmi Ballamajalu
2018	J	`jnl`	Towards a data-driven IoT software architecture for smart city utilities. Softw. Pract. Exp. Yogesh Simmhan, Pushkara Ravindra, Shilpa Chaturvedi, Malati Hegde, Rashmi Ballamajalu
2018	—	`conf`	VIoLET: A Large-Scale Virtual Environment for Internet of Things. Euro-Par Shreyas Badiger, Shrey Baheti, Yogesh Simmhan
2018	J	`jnl`	VIoLET: A Large-scale Virtual Environment for Internet of Things. CoRR Shreyas Badiger, Shrey Baheti, Yogesh Simmhan
2017	J	`jnl`	A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. CoRR Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen
2017	J	`jnl`	ARM Wrestling with Big Data: A Study of ARM64 and x64 Servers for Data Intensive Workloads. CoRR Jayanth Kalyanasundaram, Yogesh Simmhan
2017	Misc	`conf`	ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads. HiPC Jayanth Kalyanasundaram, Yogesh Simmhan
2017	J	`jnl`	Big Data and Fog Computing. CoRR Yogesh Simmhan
2017	—	`conf`	Characterization of Vertex-Centric Breadth First Search for Lattice Graphs. HiPC Workshops Ravikant Dindokar, Yogesh Simmhan
2017	—	`conf`	Collaborative Reuse of Streaming Dataflows in IoT Applications. eScience Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan
2017	J	`jnl`	Collaborative Reuse of Streaming Dataflows in IoT Applications. CoRR Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan
2017	C	`conf`	Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions. ICFEC Prateeksha Varshney, Yogesh Simmhan
2017	J	`jnl`	Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions. CoRR Prateeksha Varshney, Yogesh Simmhan
2017	—	`conf`	Distributed Video Analytics Across Edge and Cloud Using \mathbb ECHO. ICSOC Workshops Aakash Khochare, Pushkara Ravindra, Siva P. Reddy, Yogesh Simmhan
2017	J	`jnl`	ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge. CoRR Pushkara Ravindra, Aakash Khochare, Sivaprakash Reddy, Sarthak Sharma, Prateeksha Varshney, Yogesh Simmhan
2017	J	`jnl`	Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. Concurr. Comput. Pract. Exp. Shantenu Jha, Daniel S. Katz, André Luckow, Neil P. Chue Hong, Omer F. Rana, Yogesh Simmhan
2017	J	`jnl`	Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams. Future Gener. Comput. Syst. Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna
2017	J	`jnl`	RIoTBench: A Real-time IoT Benchmark for Distributed Stream Processing Platforms. CoRR Anshu Shukla, Shilpa Chaturvedi, Yogesh Simmhan
2017	J	`jnl`	RIoTBench: An IoT benchmark for distributed stream processing systems. Concurr. Comput. Pract. Exp. Anshu Shukla, Shilpa Chaturvedi, Yogesh Simmhan
2017	J	`jnl`	Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds. CoRR Anshu Shukla, Yogesh Simmhan
2017	A	`conf`	\mathbb ECHO : An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge. ICSOC Pushkara Ravindra, Aakash Khochare, Sivaprakash Reddy, Sarthak Sharma, Prateeksha Varshney, Yogesh Simmhan
2016	—	`conf`	A meta-graph approach to analyze subgraph-centric distributed programming models. IEEE BigData Ravikant Dindokar, Neel Choudhury, Yogesh Simmhan
2016	—	`conf`	Benchmarking Distributed Stream Processing Platforms for IoT Applications. TPCTC Anshu Shukla, Yogesh Simmhan
2016	J	`jnl`	Benchmarking Distributed Stream Processing Platforms for IoT Applications. CoRR Anshu Shukla, Yogesh Simmhan
2016	J	`jnl`	Cloud computing for data-driven science and engineering. Concurr. Comput. Pract. Exp. Yogesh Simmhan, Lavanya Ramakrishnan, Gabriel Antoniu, Carole A. Goble
2016	J	`jnl`	Distributed Scheduling of Event Analytics across Edge and Cloud. CoRR Rajrup Ghosh, Yogesh Simmhan
2016	B	`conf`	Elastic Partition Placement for Non-stationary Graph Algorithms. CCGrid Ravikant Dindokar, Yogesh Simmhan
2016	B	`conf`	GoDB: From Batch Processing to Distributed Querying over Property Graphs. CCGrid Nitin Jamadagni, Yogesh Simmhan
2016	J	`jnl`	Introducing Distributed Dynamic Data-intensive (D3) Science: Understanding Applications and Infrastructure. CoRR Shantenu Jha, Daniel S. Katz, André Luckow, Omer F. Rana, Yogesh Simmhan, Neil P. Chue Hong
2015	J	`jnl`	An Interoperable Realization of Smart Cities with Plug and Play based Device Management. CoRR Prasant Misra, Vasanth Rajaraman, Kumaresh Dhotrad, Jay Warrior, Yogesh Simmhan
2015	J	`jnl`	Benchmarking Fast Data Platforms for the Aadhaar Biometric Database. CoRR Yogesh Simmhan, Anshu Shukla, Arun Verma
2015	J	`jnl`	Editorial: Scalable Systems for Big Data Management and Analytics. J. Parallel Distributed Comput. Srinivas Aluru, Yogesh Simmhan
2015	J	`jnl`	Partitioning Strategies for Load Balancing Subgraph-centric Distributed Graph Processing. CoRR Neel Choudhury, Ravikant Dindokar, Akshay Dixit, Yogesh Simmhan
2015	—	`conf`	Prediction models for dynamic demand response: Requirements, challenges, and insights. SmartGridComm Saima Aman, Marc Frîncu, Charalampos Chelmis, Muhammad Usman Noor, Yogesh Simmhan, Viktor K. Prasanna
2014	A	`conf`	Cost-Efficient and Resilient Job Life-Cycle Management on Hybrid Clouds. IPDPS Hsuan-Yi Chu, Yogesh Simmhan
2014	Misc	`conf`	Event Processing across Edge and the Cloud for Internet of Things Applications. COMAD Nithyashri Govindarajan, Yogesh Simmhan, Nitin Jamadagni, Prasant Misra
2014	J	`jnl`	Floe: A Continuous Dataflow Framework for Dynamic Cloud Applications. CoRR Yogesh Simmhan, Alok Gautam Kumbhare
2014	—	`conf`	GoFFish: A Sub-graph Centric Framework for Large-Scale Graph Analytics. Euro-Par Yogesh Simmhan, Alok Gautam Kumbhare, Charith Wickramaarachchi, Soonil Nagarkar, Santosh Ravi, Cauligi S. Raghavendra, Viktor K. Prasanna
2014	J	`jnl`	Holistic Measures for Evaluating Prediction Models in Smart Grids. CoRR Saima Aman, Yogesh Simmhan, Viktor K. Prasanna
2014	B	`conf`	PLAStiCC: Predictive Look-Ahead Scheduling for Continuous Dataflows on Clouds. CCGRID Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna
2014	J	`jnl`	Scalable Analytics over Distributed Time-series Graphs using GoFFish. CoRR Yogesh Simmhan, Charith Wickramaarachchi, Alok Gautam Kumbhare, Marc Frîncu, Soonil Nagarkar, Santosh Ravi, Cauligi S. Raghavendra, Viktor K. Prasanna
2014	Misc	`conf`	Subgraph Rank: PageRank for Subgraph-Centric Distributed Graph Processing. COMAD Nitin Chandra Badam, Yogesh Simmhan
2014	J	`jnl`	Towards a Practical Architecture for India Centric Internet of Things. CoRR Prasant Misra, Yogesh Simmhan, Jay Warrior
2013	J	`jnl`	Cloud-Based Software Platform for Big Data Analytics in Smart Grids. Comput. Sci. Eng. Yogesh Simmhan, Saima Aman, Alok Gautam Kumbhare, Rongyang Liu, Sam Stevens, Qunzhi Zhou, Viktor K. Prasanna
2013	B	`conf`	Continuous Dataflow Update Strategies for Mission-Critical Applications. e-Science Charith Wickramaarachchi, Yogesh Simmhan
2013	J	`jnl`	Energy management systems: state of the art and emerging trends. IEEE Commun. Mag. Saima Aman, Yogesh Simmhan, Viktor K. Prasanna
2013	A	`conf`	Exploiting application dynamism and cloud elasticity for continuous dataflows. SC Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna
2013	J	`jnl`	GoFFish: A Sub-Graph Centric Framework for Large-Scale Graph Analytics. CoRR Yogesh Simmhan, Alok Gautam Kumbhare, Charith Wickramaarachchi, Soonil Nagarkar, Santosh Ravi, Cauligi S. Raghavendra, Viktor K. Prasanna
2013	J	`jnl`	On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid. CoRR Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna
2013	A	`conf`	Optimizations and Analysis of BSP Graph Processing Models on Public Clouds. IPDPS Mark Redekopp, Yogesh Simmhan, Viktor K. Prasanna
2013	—	`conf`	Scalable prediction of energy consumption using incremental time series clustering. IEEE BigData Yogesh Simmhan, Muhammad Usman Noor
2013	J	`jnl`	Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. CoRR Shel Swenson, Yogesh Simmhan, Viktor K. Prasanna, Manish Parashar, E. Jason Riedy, David A. Bader, Richard W. Vuduc
2013	—	`conf`	Towards hybrid online on-demand querying of realtime data with stateful complex event processing. IEEE BigData Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna
2012	—	`conf`	Cryptonite: A Secure and Performant Data Repository on Public Clouds. IEEE CLOUD Alok Gautam Kumbhare, Yogesh Simmhan, Viktor K. Prasanna
2012	—	`conf`	Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids. ISWC (2) Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna
2012	—	`conf`	On Presenting Apropos Provenance for Situation Awareness and Data Forensics. IPAW Jing Zhao, Yogesh Simmhan, Viktor K. Prasanna
2012	—	`conf`	Semantic Information Modeling for Emerging Applications in Smart Grid. ITNG Qunzhi Zhou, Sreedhar Natarajan, Yogesh Simmhan, Viktor K. Prasanna
2011	—	`conf`	An Analysis of Security and Privacy Issues in Smart Grid Software Architectures on Clouds. IEEE CLOUD Yogesh Simmhan, Alok Gautam Kumbhare, Baohua Cao, Viktor K. Prasanna
2011	J	`jnl`	Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench. Future Gener. Comput. Syst. Yogesh Simmhan, Roger S. Barga
2011	J	`jnl`	Guest Editorial: Scientific Workflows, Provenance and Their Applications. Int. J. Comput. Their Appl. Artem Chebotko, Yogesh Simmhan, Paolo Missier
2011	—	`conf`	Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators. ICDM Workshops Saima Aman, Yogesh Simmhan, Viktor K. Prasanna
2011	J	`jnl`	Querying Provenance Information in Distributed Environments. Int. J. Comput. Their Appl. Jing Zhao, Yogesh Simmhan, Karthik Gomadam, Viktor K. Prasanna
2011	J	`jnl`	Special Section: The third provenance challenge on using the open provenance model for interoperability. Future Gener. Comput. Syst. Yogesh Simmhan, Paul Groth, Luc Moreau
2011	J	`jnl`	The Open Provenance Model core specification (v1.1). Future Gener. Comput. Syst. Luc Moreau, Ben Clifford, Juliana Freire, Joe Futrelle, Yolanda Gil, Paul Groth, Natalia Kwasnikowska, Simon Miles, Paolo Missier, Jim Myers, Beth Plale, Yogesh Simmhan, Eric G. Stephan, Jan Van den Bussche
2011	B	`conf`	Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms. CCGRID Daniel Zinn, Quinn J. Hart, Timothy M. McPhillips, Bertram Ludäscher, Yogesh Simmhan, Michail Giakkoupis, Viktor K. Prasanna
2011	—	`conf`	Towards an inexact semantic complex event processing framework. DEBS Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna
2011	J	`jnl`	Using Provenance for Personalized Quality Ranking of Scientific Datasets. Int. J. Comput. Their Appl. Yogesh Simmhan, Beth Plale
2010	—	`conf`	Bridging the Gap between Desktop and the Cloud for eScience Applications. IEEE CLOUD Yogesh Simmhan, Catharine van Ingen, Girish Subramanian, Jie Li
2010	—	`conf`	Social Web-Scale Provenance in the Cloud. IPAW Yogesh Simmhan, Karthik Gomadam
2009	—	`conf`	Building Reliable Data Pipelines for Managing Community Data Using Scientific Workflows. eScience Yogesh Simmhan, Catharine van Ingen, Alexander S. Szalay, Roger S. Barga, Jim Heasley
2009	—	`conf`	GrayWulf: Scalable Software Architecture for Data Intensive Computing. HICSS Yogesh Simmhan, Roger S. Barga, Catharine van Ingen, María A. Nieto-Santisteban, László Dobos, Nolan Li, Michael Shipway, Alexander S. Szalay, Sue Werner, Jim Heasley
2008	—	`conf`	On Building Scientific Workflow Systems for Data Management in the Cloud. eScience Yogesh Simmhan, Roger S. Barga, Catharine van Ingen, Edward D. Lazowska, Alexander S. Szalay
2008	—	`conf`	The Trident Scientific Workflow Workbench. eScience Roger S. Barga, Jared Jackson, Nelson Araujo, Dean Guo, Nitin Gautam, Yogesh Simmhan
2007	—	`ch.`	Dynamic, Adaptive Workflows for Mesoscale Meteorology. Workflows for e-Science, Scientific Workflows for Grids Dennis Gannon, Beth Plale, Suresh Marru, Gopi Kandaswamy, Yogesh Simmhan, Satoshi Shirasuna
2007	Misc	`conf`	Realization of Dynamically Adaptive Weather Analysis and Forecasting in LEAD: Four Years Down the Road. International Conference on Computational Science (1) Lavanya Ramakrishnan, Yogesh Simmhan, Beth Plale
2006	Misc	`conf`	Building e-Science Portals: A Service Oriented Architecture. High Performance Computing Workshop Dennis Gannon, Beth Plale, Marcus Christie, Yi Huang, Scott Jensen, Ning Liu, Suresh Marru, Sangmi Lee Pallickara, Srinath Perera, Satoshi Shirasuna, Yogesh Simmhan, Aleksander Slominski, Yiming Sun, Nithya N. Vijayakumar
2006	—	`conf`	Towards a Quality Model for Effective Data Selection in Collaboratories. ICDE Workshops Yogesh Simmhan, Beth Plale, Dennis Gannon
2005	J	`jnl`	A survey of data provenance in e-science. SIGMOD Rec. Yogesh Simmhan, Beth Plale, Dennis Gannon
2005	J	`jnl`	Building Grid Portal Applications From a Web Service Component Architecture. Proc. IEEE Dennis Gannon, Jay Alameda, Octav Chipara, Marcus Christie, Vinayak Dukle, Liang Fang, Matthew Farrellee, Gopi Kandaswamy, Deepti Kodeboyina, Sriram Krishnan, Charles W. Moad, Marlon E. Pierce, Beth Plale, Al Rossi, Yogesh Simmhan, Anuraag Sarangi, Aleksander Slominski, Satoshi Shirasuna, Thomas Thomas
2005	J	`jnl`	On Building Parallel & Grid Applications: Component Technology and Distributed Services. Clust. Comput. Dennis Gannon, Sriram Krishnan, Liang Fang, Gopi Kandaswamy, Yogesh Simmhan, Aleksander Slominski
2005	A	`conf`	Service Oriented Architectures for Science Gateways on Grid Systems. ICSOC Dennis Gannon, Beth Plale, Marcus Christie, Liang Fang, Yi Huang, Scott Jensen, Gopi Kandaswamy, Suresh Marru, Sangmi Lee Pallickara, Satoshi Shirasuna, Yogesh Simmhan, Aleksander Slominski, Yiming Sun
2004	—	`conf`	On Building Parallel & Grid Applications: Component Technology and Distributed Services. CLADE Dennis Gannon, Sriram Krishnan, Liang Fang, Gopi Kandaswamy, Yogesh Simmhan, Aleksander Slominski
2002	J	`jnl`	Programming the Grid: Distributed Software Components, P2P and Grid Web Services for Scientific Applications. Clust. Comput. Dennis Gannon, Randall Bramley, Geoffrey C. Fox, Shava Smallen, Al Rossi, Rachana Ananthakrishnan, Felipe Bertrand, Kenneth Chiu, Matt Farrellee, Madhusudhan Govindaraju, Sriram Krishnan, Lavanya Ramakrishnan, Yogesh Simmhan, Aleksander Slominski, Yu Ma, Caroline Olariu, Nicolas Rey-Cenvaz
2002	J	`jnl`	The XCAT Science Portal. Sci. Program. Sriram Krishnan, Randall Bramley, Dennis Gannon, Rachana Ananthakrishnan, Madhusudhan Govindaraju, Aleksander Slominski, Yogesh Simmhan, Jay Alameda, Richard C. Alkire, Timothy O. Drews, Eric Webb