| 2025 | CLOUD | SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge. | Joel Wolfrath, Daniel Frink, Abhishek Chandra |
| 2025 | IC2E | ASTRA: Association, Spatial proximity and Temporal Relevance based Adaptive prefetching for Edge AR. | Nikhil Sreekumar, Abhishek Chandra, Jon B. Weissman |
| 2024 | AAAI | Neural Oscillators for Generalization of Physics-Informed Machine Learning. | Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Nez, Rolf P. B. J. Dollevoet |
| 2024 | CCGRID | Jingle: IoT-Informed Autoscaling for Efficient Resource Management in Edge Computing. | Yixuan Wang, Abhishek Chandra, Jon B. Weissman |
| 2024 | CCGRID | Leveraging Multi-Modal Data for Efficient Edge Inference Serving. | Joel Wolfrath, Anirudh Achanta, Abhishek Chandra |
| 2023 | CCGRID | AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. | Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman |
| 2023 | CCGRID | AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. | Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman |
| 2023 | CLOUD | Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics. | Joel Wolfrath, Abhishek Chandra |
| 2022 | EuroSys | Towards WAN-aware join sampling over geo-distributed data. | Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman |
| 2022 | IC2E | Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. | Joel Wolfrath, Abhishek Chandra |
| 2022 | ICDCS | Towards Elasticity in Heterogeneous Edge-dense Environments. | Lei Huang, Zhiying Liang, Nikhil Sreekumar, Sumanth Kaushik, Abhishek Chandra, Jon B. Weissman |
| 2021 | EuroSys | Accelerated Training via Device Similarity in Federated Learning. | Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra |
| 2021 | HPDC | DLion: Decentralized Distributed Deep Learning in Micro-Clouds. | Rankyung Hong, Abhishek Chandra |
| 2021 | IC2E | On the Future of Cloud Engineering. | David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski |
| 2020 | CCGRID | A Network Cost-aware Geo-distributed Data Analytics System. | Kwangsung Oh, Abhishek Chandra, Jon B. Weissman |
| 2020 | Middleware | WASP: Wide-area Adaptive Stream Processing. | Albert Jonathan, Abhishek Chandra, Jon B. Weissman |
| 2019 | IC2E | MESH: A Flexible Distributed Hypergraph Processing System. | Benjamin Heintz, Rankyung Hong, Shivangi Singh, Gaurav Khandelwal, Corey Tesdahl, Abhishek Chandra |
| 2019 | SIGMETRICS | A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. | Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman |
| 2018 | CLOUD | Decentralized Distributed Deep Learning in Heterogeneous WAN Environments. | Rankyung Hong, Abhishek Chandra |
| 2018 | CLOUD | Multi-Query Optimization in Wide-Area Streaming Analytics. | Albert Jonathan, Abhishek Chandra, Jon B. Weissman |
| 2017 | SYSTOR | TripS: automated multi-tiered data placement in a geo-distributed cloud environment. | Kwangsung Oh, Abhishek Chandra, Jon B. Weissman |
| 2017 | UCC | Locality-Aware Load Sharing in Mobile Cloud Computing. | Albert Jonathan, Abhishek Chandra, Jon B. Weissman |
| 2016 | CLOUD | Trading Timeliness and Accuracy in Geo-Distributed Streaming Analytics. | Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman |
| 2016 | HPDC | Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances. | Kwangsung Oh, Abhishek Chandra, Jon B. Weissman |
| 2016 | IC2E | Awan: Locality-Aware Resource Manager for Geo-Distributed Data-Intensive Applications. | Albert Jonathan, Abhishek Chandra, Jon B. Weissman |
| 2015 | HPDC | Optimizing Grouped Aggregation in Geo-Distributed Streaming Analytics. | Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman |
| 2015 | HPDC | Redefining Data Locality for Cross-Data Center Storage. | Kwangsung Oh, Ajaykrishna Raghavan, Abhishek Chandra, Jon B. Weissman |
| 2015 | IC2E | Towards Optimizing Wide-Area Streaming Analytics. | Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman |
| 2015 | IC2E | Cloud-Based, User-Centric Mobile Application Optimization. | John Kolb, Prashant Chaudhary, Alexander Schillinger, Abhishek Chandra, Jon B. Weissman |
| 2014 | IC2E | Nebula: Distributed Edge Cloud for Data Intensive Computing. | Mathew Ryden, Kwangsung Oh, Abhishek Chandra, Jon B. Weissman |
| 2014 | Middleware | Tiera: towards flexible multi-tiered cloud storage instances. | Ajaykrishna Raghavan, Abhishek Chandra, Jon B. Weissman |
| 2013 | CCS | Trustworthy distributed computing on social networks. | Abedelaziz Mohaisen, Huy Tran, Abhishek Chandra, Yongdae Kim |
| 2013 | CLOUD | Wide-area streaming analytics: distributing the data cube. | Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman |
| 2013 | HPDC | Applications-aware virtual machine provisioning. | Abhishek Chandra |
| 2013 | IC2E | Cross-Phase Optimization in MapReduce. | Benjamin Heintz, Chenyu Wang, Abhishek Chandra, Jon B. Weissman |
| 2011 | HiPC | STEAMEngine: Driving MapReduce provisioning in the cloud. | Michael Cardosa, Piyush Narang, Abhishek Chandra, Himabindu Pucha, Aameek Singh |
| 2011 | HPDC | Early experience with the distributed nebula cloud. | Jon B. Weissman, Pradeep Sundarrajan, Abhishek Gupta, Matthew Ryden, Rohit Nair, Abhishek Chandra |
| 2010 | ICPP | Starling: Minimizing Communication Overhead in Virtualized Computing Platforms Using Decentralized Affinity-Aware Migration. | Jason D. Sonnek, James B. S. G. Greensky, Robert Reutiman, Abhishek Chandra |
| 2009 | HiPC | Extracting the textual and temporal structure of supercomputing logs. | Sourabh Jain, Inderpreet Singh, Abhishek Chandra, Zhi-Li Zhang, Greg Bronevetsky |
| 2009 | IWQoS | HiDRA: Statistical multi-dimensional resource discovery for large-scale systems. | Michael Cardosa, Abhishek Chandra |
| 2008 | ICDCS | Resource Bundles: Using Aggregation for Statistical Wide-Area Resource Discovery and Allocation. | Michael Cardosa, Abhishek Chandra |
| 2008 | ICDCS | Accessibility-Based Resource Selection in Loosely-Coupled Distributed Systems. | Jinoh Kim, Abhishek Chandra, Jon B. Weissman |
| 2008 | SIGMETRICS | Exploring the throughput-fairness tradeoff of deadline scheduling in heterogeneous computing environments. | Vasumathi Sundaram, Abhishek Chandra, Jon B. Weissman |
| 2007 | CCGRID | Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks. | Jinoh Kim, Abhishek Chandra, Jon B. Weissman |
| 2007 | HPDC | Ridge: combining reliability and performance in open grid platforms. | Krishnaveni Budati, Jason D. Sonnek, Abhishek Chandra, Jon B. Weissman |
| 2006 | ICDCS | Reputation-Based Scheduling on Unreliable Distributed Infrastructures. | Jason D. Sonnek, Mukesh Nathan, Abhishek Chandra, Jon B. Weissman |
| 2003 | IWQoS | Dynamic Resource Allocation for Shared Data Centers Using Online Measurements. | Abhishek Chandra, Weibo Gong, Prashant J. Shenoy |
| 2003 | SIGMETRICS | Dynamic resource allocation for shared data centers using online measurements. | Abhishek Chandra, Weibo Gong, Prashant J. Shenoy |
| 2001 | USENIX | Scalability of Linux Event-Dispatch Mechanisms. | Abhishek Chandra, David Mosberger |
| 2001 | RTAS | Deadline Fair Scheduling: Bridging the Theory and Practice of Proportionate Fair Scheduling in Multiprocessor Systems. | Abhishek Chandra, Micah Adler, Prashant J. Shenoy |
| 2000 | OSDI | Surplus Fair Scheduling: A Proportional-Share CPU Scheduling Algorithm for Symmetric Multiprocessors. | Abhishek Chandra, Micah Adler, Pawan Goyal, Prashant J. Shenoy |