Application performance in the QLinux multimedia operating system. - Vijay Sundaram; Abhishek Chandra; Pawan Goyal 001; Prashant J. Shenoy; Jasleen Sahni; Harrick M. Vin (ACM Multimedia, 2000)

Surplus Fair Scheduling: A Proportional-Share CPU Scheduling Algorithm for Symmetric Multiprocessors. - Abhishek Chandra; Micah Adler; Pawan Goyal 001; Prashant J. Shenoy (OSDI, 2000)

Deadline Fair Scheduling: Bridging the Theory and Practice of Proportionate Fair Scheduling in Multiprocessor Systems. - Abhishek Chandra; Micah Adler; Prashant J. Shenoy (IEEE Real Time Technology and Applications Symposium, 2001)

Scalability of Linux Event-Dispatch Mechanisms. - Abhishek Chandra; David Mosberger (USENIX ATC, General Track, 2001)

Dynamic Resource Allocation for Shared Data Centers Using Online Measurements. - Abhishek Chandra; Weibo Gong; Prashant J. Shenoy (IWQoS, 2003)

Dynamic Provisioning of Multi-tier Internet Applications. - Bhuvan Urgaonkar; Prashant J. Shenoy; Abhishek Chandra; Pawan Goyal 001 (ICAC, 2005)

Reputation-Based Scheduling on Unreliable Distributed Infrastructures. - Jason D. Sonnek; Mukesh Nathan; Abhishek Chandra; Jon B. Weissman (ICDCS, 2006)

eSENSE: energy efficient stochastic sensing framework scheme for wireless sensor platforms. - Haiyang Liu; Abhishek Chandra; Jaideep Srivastava (IPSN, 2006)

An observation-based approach towards self-managing web servers. - Abhishek Chandra; Prashant Pradhan; Renu Tewari; Sambit Sahu; Prashant J. Shenoy (Comput. Commun., 2006)

Heterogeneity-Aware Workload Distribution in Donation-Based Grids. - Rahul Trivedi; Abhishek Chandra; Jon B. Weissman (Int. J. High Perform. Comput. Appl., 2006)

Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks. - Jinoh Kim; Abhishek Chandra; Jon B. Weissman (CCGRID, 2007)

Ridge: combining reliability and performance in open grid platforms. - Krishnaveni Budati; Jason D. Sonnek; Abhishek Chandra; Jon B. Weissman (HPDC, 2007)

NGS: Service Adaptation in Open Grid Platforms. - Krishnaveni Budati; Jinoh Kim; Abhishek Chandra; Jon B. Weissman (IPDPS, 2007)

Adaptive Reputation-Based Scheduling on Unreliable Distributed Infrastructures. - Jason D. Sonnek; Abhishek Chandra; Jon B. Weissman (IEEE Trans. Parallel Distributed Syst., 2007)

Resource Bundles: Using Aggregation for Statistical Wide-Area Resource Discovery and Allocation. - Michael Cardosa; Abhishek Chandra (ICDCS, 2008)

Accessibility-Based Resource Selection in Loosely-Coupled Distributed Systems. - Jinoh Kim; Abhishek Chandra; Jon B. Weissman (ICDCS, 2008)

Exploring the throughput-fairness tradeoff of deadline scheduling in heterogeneous computing environments. - Vasumathi Sundaram; Abhishek Chandra; Jon B. Weissman (SIGMETRICS, 2008)

Co-designing the failure analysis and monitoring of large-scale systems. - Abhishek Chandra; Rohini Prinja; Sourabh Jain; Zhi-Li Zhang (SIGMETRICS Perform. Evaluation Rev., 2008)

Practical techniques for purging deleted data using liveness information. - David Boutcher; Abhishek Chandra (ACM SIGOPS Oper. Syst. Rev., 2008)

Agile dynamic provisioning of multi-tier Internet applications. - Bhuvan Urgaonkar; Prashant J. Shenoy; Abhishek Chandra; Pawan Goyal 001; Timothy Wood 001 (ACM Trans. Auton. Adapt. Syst., 2008)

Hierarchical Scheduling for Symmetric Multiprocessors. - Abhishek Chandra; Prashant J. Shenoy (IEEE Trans. Parallel Distributed Syst., 2008)

Extracting the textual and temporal structure of supercomputing logs. - Sourabh Jain; Inderpreet Singh; Abhishek Chandra; Zhi-Li Zhang; Greg Bronevetsky (HiPC, 2009)

Nebulas: Using Distributed Voluntary Resources to Build Clouds. - Abhishek Chandra; Jon B. Weissman (HotCloud, 2009)

HiDRA: Statistical multi-dimensional resource discovery for large-scale systems. - Michael Cardosa; Abhishek Chandra (IWQoS, 2009)

Using Data Accessibility for Resource Selection in Large-Scale Distributed Systems. - Jinoh Kim; Abhishek Chandra; Jon B. Weissman (IEEE Trans. Parallel Distributed Syst., 2009)

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 (ICPP, 2010)

Does virtualization make disk scheduling passé? - David Boutcher; Abhishek Chandra (ACM SIGOPS Oper. Syst. Rev., 2010)

Resource Bundles: Using Aggregation for Statistical Large-Scale Resource Discovery and Management. - Michael Cardosa; Abhishek Chandra (IEEE Trans. Parallel Distributed Syst., 2010)

STEAMEngine: Driving MapReduce provisioning in the cloud. - Michael Cardosa; Piyush Narang; Abhishek Chandra; Himabindu Pucha; Aameek Singh (HiPC, 2011)

Early experience with the distributed nebula cloud. - Jon B. Weissman; Pradeep Sundarrajan; Abhishek Gupta; Matthew Ryden; Rohit Nair; Abhishek Chandra (DICT@HPDC, 2011)

SocialCloud: Using Social Networks for Building Distributed Computing Services - Abedelaziz Mohaisen; Huy Tran; Abhishek Chandra; Yongdae Kim (CoRR, 2011)

Passive Network Performance Estimation for Large-Scale, Data-Intensive Computing. - Jinoh Kim; Abhishek Chandra; Jon B. Weissman (IEEE Trans. Parallel Distributed Syst., 2011)

Sharing-Aware Cloud-Based Mobile Outsourcing. - Chonglei Mei; Daniel Taylor; Chenyu Wang; Abhishek Chandra; Jon B. Weissman (IEEE CLOUD, 2012)

Optimizing MapReduce for Highly Distributed Environments - Benjamin Heintz; Abhishek Chandra; Ramesh K. Sitaraman (CoRR, 2012)

Exploiting Spatio-Temporal Tradeoffs for Energy-Aware MapReduce in the Cloud. - Michael Cardosa; Aameek Singh; Himabindu Pucha; Abhishek Chandra (IEEE Trans. Computers, 2012)

Wide-area streaming analytics: distributing the data cube. - Benjamin Heintz; Abhishek Chandra; Ramesh K. Sitaraman (SoCC, 2013)

Applications-aware virtual machine provisioning. - Abhishek Chandra (VTDC@HPDC, 2013)

Cross-Phase Optimization in MapReduce. - Benjamin Heintz; Chenyu Wang; Abhishek Chandra; Jon B. Weissman (IC2E, 2013)

Accelerating Distributed Workflows with Edge Resources. - Siddharth Ramakrishnan; Robert Reutiman; Abhishek Chandra; Jon B. Weissman (IPDPS Workshops, 2013)

Decentralized Edge Clouds. - Abhishek Chandra; Jon B. Weissman; Benjamin Heintz (IEEE Internet Comput., 2013)

Cross-Phase Optimization in MapReduce. - Benjamin Heintz; Abhishek Chandra; Jon B. Weissman (Cloud Computing for Data-Intensive Applications, 2014)

Opportunities for data-driven cloud-based mobile optimization. - William Myott; Thao Nguyen; Abhishek Chandra; George Karypis; Jon B. Weissman (CTS, 2014)

Nebula: Distributed Edge Cloud for Data Intensive Computing. - Mathew Ryden; Kwangsung Oh; Abhishek Chandra; Jon B. Weissman (IC2E, 2014)

Tiera: towards flexible multi-tiered cloud storage instances. - Ajaykrishna Raghavan; Abhishek Chandra; Jon B. Weissman (Middleware, 2014)

Exploiting User Interest in Data-Driven Cloud-Based Mobile Optimization. - John Kolb; William Myott; Thao Nguyen; Abhishek Chandra; Jon B. Weissman (MobileCloud, 2014)

Predicting Multi-actor collaborations using Hypergraphs. - Ankit Sharma 004; Jaideep Srivastava; Abhishek Chandra (CoRR, 2014)

Beyond graphs: toward scalable hypergraph analysis systems. - Benjamin Heintz; Abhishek Chandra (SIGMETRICS Perform. Evaluation Rev., 2014)

Trustworthy Distributed Computing on Social Networks. - Aziz Mohaisen; Huy Tran; Abhishek Chandra; Yongdae Kim (IEEE Trans. Serv. Comput., 2014)

Enabling Scalable Social Group Analytics via Hypergraph Analysis Systems. - Benjamin Heintz; Abhishek Chandra (HotCloud, 2015)

Optimizing Grouped Aggregation in Geo-Distributed Streaming Analytics. - Benjamin Heintz; Abhishek Chandra; Ramesh K. Sitaraman (HPDC, 2015)

Redefining Data Locality for Cross-Data Center Storage. - Kwangsung Oh; Ajaykrishna Raghavan; Abhishek Chandra; Jon B. Weissman (BigSystem@HPDC, 2015)

Towards Optimizing Wide-Area Streaming Analytics. - Benjamin Heintz; Abhishek Chandra; Ramesh K. Sitaraman (IC2E, 2015)

Cloud-Based, User-Centric Mobile Application Optimization. - John Kolb; Prashant Chaudhary; Alexander Schillinger; Abhishek Chandra; Jon B. Weissman (IC2E, 2015)

Trading Timeliness and Accuracy in Geo-Distributed Streaming Analytics. - Benjamin Heintz; Abhishek Chandra; Ramesh K. Sitaraman (SoCC, 2016)

Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances. - Kwangsung Oh; Abhishek Chandra; Jon B. Weissman (HPDC, 2016)

Awan: Locality-Aware Resource Manager for Geo-Distributed Data-Intensive Applications. - Albert Jonathan; Abhishek Chandra; Jon B. Weissman (IC2E, 2016)

End-to-End Optimization for Geo-Distributed MapReduce. - Benjamin Heintz; Abhishek Chandra; Ramesh K. Sitaraman; Jon B. Weissman (IEEE Trans. Cloud Comput., 2016)

Creating an Abstraction to Exploit IoT Synergies: Poster Abstract. - Zach Leidall; Abhishek Chandra; Jon B. Weissman (IoTDI, 2017)

TripS: automated multi-tiered data placement in a geo-distributed cloud environment. - Kwangsung Oh; Abhishek Chandra; Jon B. Weissman (SYSTOR, 2017)

Locality-Aware Load Sharing in Mobile Cloud Computing. - Albert Jonathan; Abhishek Chandra; Jon B. Weissman (UCC, 2017)

Nebula: Distributed Edge Cloud for Data Intensive Computing. - Albert Jonathan; Mathew Ryden; Kwangsung Oh; Abhishek Chandra; Jon B. Weissman (IEEE Trans. Parallel Distributed Syst., 2017)

Decentralized Distributed Deep Learning in Heterogeneous WAN Environments. - Rankyung Hong; Abhishek Chandra (SoCC, 2018)

Multi-Query Optimization in Wide-Area Streaming Analytics. - Albert Jonathan; Abhishek Chandra; Jon B. Weissman (SoCC, 2018)

Rethinking Adaptability in Wide-Area Stream Processing Systems. - Albert Jonathan; Abhishek Chandra; Jon B. Weissman (HotCloud, 2018)

DeCaf: Iterative Collaborative Processing over the Edge. - Dhruv Kumar 001; Aravind Alagiri Ramkumar; Rohit Sindhu; Abhishek Chandra (HotEdge, 2019)

An Edge-based Framework for Cooperation in Internet of Things Applications. - Zach Leidall; Abhishek Chandra; Jon B. Weissman (HotEdge, 2019)

MESH: A Flexible Distributed Hypergraph Processing System. - Benjamin Heintz; Rankyung Hong; Shivangi Singh; Gaurav Khandelwal; Corey Tesdahl; Abhishek Chandra (IC2E, 2019)

A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. - Dhruv Kumar 001; Jian Li 008; Abhishek Chandra; Ramesh K. Sitaraman (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Optimizing Geo-Distributed Streaming Analytics. - Abhishek Chandra; Benjamin Heintz; Ramesh K. Sitaraman (Encyclopedia of Big Data Technologies, 2019)

A Network Cost-aware Geo-distributed Data Analytics System. - Kwangsung Oh; Abhishek Chandra; Jon B. Weissman (CCGRID, 2020)

Position Paper: Towards a Robust Edge-Native Storage System. - Nikhil Sreekumar; Abhishek Chandra; Jon B. Weissman (SEC, 2020)

Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning. - Yuanli Wang; Dhruv Kumar 001; Abhishek Chandra (SEC, 2020)

Poster: Data-Aware Edge Sampling for Aggregate Query Approximation. - Joel Wolfrath; Abhishek Chandra (SEC, 2020)

WASP: Wide-area Adaptive Stream Processing. - Albert Jonathan; Abhishek Chandra; Jon B. Weissman (Middleware, 2020)

Optimizing Timeliness and Cost in Geo-Distributed Streaming Analytics. - Benjamin Heintz; Abhishek Chandra; Ramesh K. Sitaraman (IEEE Trans. Cloud Comput., 2020)

Wiera: Policy-Driven Multi-Tiered Geo-Distributed Cloud Storage System. - Kwangsung Oh; Nan Qin; Abhishek Chandra; Jon B. Weissman (IEEE Trans. Parallel Distributed Syst., 2020)

Accelerated Training via Device Similarity in Federated Learning. - Yuanli Wang; Joel Wolfrath; Nikhil Sreekumar; Dhruv Kumar 001; Abhishek Chandra (EdgeSys@EuroSys, 2021)

DLion: Decentralized Distributed Deep Learning in Micro-Clouds. - Rankyung Hong; Abhishek Chandra (HPDC, 2021)

On the Future of Cloud Engineering. - David Bermbach; Abhishek Chandra; Chandra Krintz; Aniruddha Gokhale; Aleksander Slominski; Lauritz Thamsen; Everton Cavalcante; Tian Guo 001; Ivona Brandic; Rich Wolski (IC2E, 2021)

AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics. - Dhruv Kumar 001; Sohaib Ahmad; Abhishek Chandra; Ramesh K. Sitaraman (SEC, 2021)

Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments. - Lei Huang; Zhiying Liang; Nikhil Sreekumar; Sumanth Kaushik Vishwanath 001; Cody Perakslis; Abhishek Chandra; Jon B. Weissman (CoRR, 2021)

Message from the organizers of WAIN. - Luca Vassio; Zhi-Li Zhang; Danilo Giordano; Abhishek Chandra (SIGMETRICS Perform. Evaluation Rev., 2021)

Towards WAN-aware join sampling over geo-distributed data. - Dhruv Kumar 001; Joel Wolfrath; Abhishek Chandra; Ramesh K. Sitaraman (EdgeSys@EuroSys, 2022)

Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. - Joel Wolfrath; Abhishek Chandra (IC2E, 2022)

Towards Elasticity in Heterogeneous Edge-dense Environments. - Lei Huang; Zhiying Liang; Nikhil Sreekumar; Sumanth Kaushik 001; Abhishek Chandra; Jon B. Weissman (ICDCS, 2022)

HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning. - Joel Wolfrath; Nikhil Sreekumar; Dhruv Kumar 001; Yuanli Wang; Abhishek Chandra (IPDPS, 2022)

Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws through indirect data. - Abhishek Chandra; Mitrofan Curti; Koen Tiels; Elena A. Lomonova; Daniel M. Tartakovsky (SSCI, 2022)

Constellation: An Edge-Based Semantic Runtime System for Internet of Things Applications. - Mitch Terrell; Yixuan Wang; Matt Dorow; Soumya Agrawal; Bhaargav Sriraman; Zach Leidall; Abhishek Chandra; Jon B. Weissman (CoRR, 2022)

Network Cost-Aware Geo-Distributed Data Analytics System. - Kwangsung Oh; Minmin Zhang; Abhishek Chandra; Jon B. Weissman (IEEE Trans. Parallel Distributed Syst., 2022)

AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. - Dhruv Kumar 001; Sohaib Ahmad; Abhishek Chandra; Ramesh K. Sitaraman (CCGrid, 2023)

Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics. - Joel Wolfrath; Abhishek Chandra (SoCC, 2023)

SQuBA: Social Quorum Based Access Control for Open IoT Environments. - Yixuan Wang; Abhishek Chandra; Jon B. Weissman (EDGE, 2023)

Hybrid Classification Model For Acoustic-Based Emergency Vehicle Detection. - Abhishek Chandra; Gagandeep Singh (IC3I, 2023)

Discovering Sparse Hysteresis Models: A Data-driven Study for Piezoelectric Materials and Perspectives on Magnetic Hysteresis. - Abhishek Chandra; Bram Daniels; Mitrofan Curti; Koen Tiels; Elena A. Lomonova; Daniel M. Tartakovsky (CoRR, 2023)

Neural oscillators for magnetic hysteresis modeling. - Abhishek Chandra; Taniya Kapoor; Bram Daniels; Mitrofan Curti; Koen Tiels; Daniel M. Tartakovsky; Elena A. Lomonova (CoRR, 2023)

Neural Oscillators for Generalization of Physics-Informed Machine Learning. - Taniya Kapoor; Abhishek Chandra; Daniel M. Tartakovsky; Hongrui Wang 001; Alfredo Núñez; Rolf P. B. J. Dollevoet (AAAI, 2024)

Jingle: IoT-Informed Autoscaling for Efficient Resource Management in Edge Computing. - Yixuan Wang; Abhishek Chandra; Jon B. Weissman (CCGrid, 2024)

Leveraging Multi-Modal Data for Efficient Edge Inference Serving. - Joel Wolfrath; Anirudh Achanta; Abhishek Chandra (CCGrid, 2024)

A Biased Estimator for MinMax Sampling and Distributed Aggregation. - Joel Wolfrath; Abhishek Chandra (CoRR, 2024)

Solving partial differential equations with sampled neural networks. - Chinmay Datar; Taniya Kapoor; Abhishek Chandra; Qing Sun; Iryna Burak; Erik Lien Bolager; Anna Veselovska; Massimo Fornasier; Felix Dietrich (CoRR, 2024)

Magnetic Hysteresis Modeling with Neural Operators. - Abhishek Chandra; Bram Daniels; Mitrofan Curti; Koen Tiels; Elena A. Lomonova (CoRR, 2024)

Generalizable models of magnetic hysteresis via physics-aware recurrent neural networks. - Abhishek Chandra; Taniya Kapoor; Bram Daniels; Mitrofan Curti; Koen Tiels; Daniel M. Tartakovsky; Elena A. Lomonova (Comput. Phys. Commun., 2025)

SAAP: Spatial awareness and Association based Prefetching of Virtual Objects in Augmented Reality at the Edge. - Nikhil Sreekumar; Abhishek Chandra; Jon B. Weissman (CoRR, 2025)

SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge. - Joel Wolfrath; Daniel Frink; Abhishek Chandra (CoRR, 2025)

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers. - Taniya Kapoor; Abhishek Chandra; Anastasios Stamou; Stephen J. Roberts (CoRR, 2025)

Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems. - Abhishek Chandra; Taniya Kapoor; Mitrofan Curti; Koen Tiels; Elena A. Lomonova (CoRR, 2025)