Abhishek Chandra

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 52

Top Venues

Publications

Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
Neural Oscillators for Generalization of Physics-Informed Machine Learning. AAAI (2024)
Joel Wolfrath, Abhishek Chandra
A Biased Estimator for MinMax Sampling and Distributed Aggregation. CoRR (2024)
Abhishek Chandra, Bram Daniels, Mitrofan Curti, Koen Tiels, Elena A. Lomonova
Magnetic Hysteresis Modeling with Neural Operators. CoRR (2024)
Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich
Solving partial differential equations with sampled neural networks. CoRR (2024)
Abhishek Chandra, Gagandeep Singh
Hybrid Classification Model For Acoustic-Based Emergency Vehicle Detection. IC3I (2023)
Abhishek Chandra, Taniya Kapoor, Bram Daniels, Mitrofan Curti, Koen Tiels, Daniel M. Tartakovsky, Elena A. Lomonova
Neural oscillators for magnetic hysteresis modeling. CoRR (2023)
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGrid (2023)
Abhishek Chandra, Bram Daniels, Mitrofan Curti, Koen Tiels, Elena A. Lomonova, Daniel M. Tartakovsky
Discovering Sparse Hysteresis Models: A Data-driven Study for Piezoelectric Materials and Perspectives on Magnetic Hysteresis. CoRR (2023)
Yixuan Wang, Abhishek Chandra, Jon B. Weissman
SQuBA: Social Quorum Based Access Control for Open IoT Environments. EDGE (2023)
Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
Neural oscillators for generalization of physics-informed machine learning. CoRR (2023)
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGridW (2023)
Joel Wolfrath, Abhishek Chandra
Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics. SoCC (2023)
Mitch Terrell, Yixuan Wang, Matt Dorow, Soumya Agrawal, Bhaargav Sriraman, Zach Leidall, Abhishek Chandra, Jon B. Weissman
Constellation: An Edge-Based Semantic Runtime System for Internet of Things Applications. CoRR (2022)
Lei Huang, Zhiying Liang, Nikhil Sreekumar, Sumanth Kaushik, Abhishek Chandra, Jon B. Weissman
Towards Elasticity in Heterogeneous Edge-dense Environments. ICDCS (2022)
Joel Wolfrath, Abhishek Chandra
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. CoRR (2022)
Kwangsung Oh, Minmin Zhang, Abhishek Chandra, Jon B. Weissman
Network Cost-Aware Geo-Distributed Data Analytics System. IEEE Trans. Parallel Distributed Syst. 33 (6) (2022)
Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman
Towards WAN-aware join sampling over geo-distributed data. EdgeSys@EuroSys (2022)
Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, Abhishek Chandra
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning. IPDPS (2022)
Joel Wolfrath, Abhishek Chandra
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. IC2E (2022)
Abhishek Chandra, Mitrofan Curti, Koen Tiels, Elena A. Lomonova, Daniel M. Tartakovsky
Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws through indirect data. SSCI (2022)
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman
AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics. SEC (2021)
Lei Huang, Zhiying Liang, Nikhil Sreekumar, Sumanth Kaushik Vishwanath, Cody Perakslis, Abhishek Chandra, Jon B. Weissman
Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments. CoRR (2021)
Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra
Accelerated Training via Device Similarity in Federated Learning. EdgeSys@EuroSys (2021)
Rankyung Hong, Abhishek Chandra
DLion: Decentralized Distributed Deep Learning in Micro-Clouds. HPDC (2021)
David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski
On the Future of Cloud Engineering. IC2E (2021)
David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski
On the Future of Cloud Engineering. CoRR (2021)
Luca Vassio, Zhi-Li Zhang, Danilo Giordano, Abhishek Chandra
Message from the organizers of WAIN. SIGMETRICS Perform. Evaluation Rev. 48 (4) (2021)
Joel Wolfrath, Abhishek Chandra
Poster: Data-Aware Edge Sampling for Aggregate Query Approximation. SEC (2020)
Kwangsung Oh, Nan Qin, Abhishek Chandra, Jon B. Weissman
Wiera: Policy-Driven Multi-Tiered Geo-Distributed Cloud Storage System. IEEE Trans. Parallel Distributed Syst. 31 (2) (2020)
Albert Jonathan, Abhishek Chandra, Jon B. Weissman
WASP: Wide-area Adaptive Stream Processing. Middleware (2020)
Yuanli Wang, Dhruv Kumar, Abhishek Chandra
Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning. SEC (2020)
Nikhil Sreekumar, Abhishek Chandra, Jon B. Weissman
Position Paper: Towards a Robust Edge-Native Storage System. SEC (2020)
Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman
Optimizing Timeliness and Cost in Geo-Distributed Streaming Analytics. IEEE Trans. Cloud Comput. 8 (1) (2020)
Kwangsung Oh, Abhishek Chandra, Jon B. Weissman
A Network Cost-aware Geo-distributed Data Analytics System. CCGRID (2020)
Benjamin Heintz, Rankyung Hong, Shivangi Singh, Gaurav Khandelwal, Corey Tesdahl, Abhishek Chandra
MESH: A Flexible Distributed Hypergraph Processing System. CoRR (2019)
Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. SIGMETRICS (Abstracts) (2019)
Dhruv Kumar, Aravind Alagiri Ramkumar, Rohit Sindhu, Abhishek Chandra
DeCaf: Iterative Collaborative Processing over the Edge. HotEdge (2019)
Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. Proc. ACM Meas. Anal. Comput. Syst. 3 (2) (2019)
Rankyung Hong, Abhishek Chandra
DLion: Decentralized Distributed Deep Learning in Micro-Clouds. HotCloud (2019)
Benjamin Heintz, Rankyung Hong, Shivangi Singh, Gaurav Khandelwal, Corey Tesdahl, Abhishek Chandra
MESH: A Flexible Distributed Hypergraph Processing System. IC2E (2019)
Zach Leidall, Abhishek Chandra, Jon B. Weissman
An Edge-based Framework for Cooperation in Internet of Things Applications. HotEdge (2019)
Rankyung Hong, Abhishek Chandra
Decentralized Distributed Deep Learning in Heterogeneous WAN Environments. SoCC (2018)
Albert Jonathan, Abhishek Chandra, Jon B. Weissman
Rethinking Adaptability in Wide-Area Stream Processing Systems. HotCloud (2018)
Albert Jonathan, Abhishek Chandra, Jon B. Weissman
Multi-Query Optimization in Wide-Area Streaming Analytics. SoCC (2018)
Albert Jonathan, Mathew Ryden, Kwangsung Oh, Abhishek Chandra, Jon B. Weissman
Nebula: Distributed Edge Cloud for Data Intensive Computing. IEEE Trans. Parallel Distributed Syst. 28 (11) (2017)
Zach Leidall, Abhishek Chandra, Jon B. Weissman
Creating an Abstraction to Exploit IoT Synergies: Poster Abstract. IoTDI (2017)
Albert Jonathan, Abhishek Chandra, Jon B. Weissman
Locality-Aware Load Sharing in Mobile Cloud Computing. UCC (2017)
Kwangsung Oh, Abhishek Chandra, Jon B. Weissman
TripS: automated multi-tiered data placement in a geo-distributed cloud environment. SYSTOR (2017)
Albert Jonathan, Abhishek Chandra, Jon B. Weissman
Awan: Locality-Aware Resource Manager for Geo-Distributed Data-Intensive Applications. IC2E (2016)
Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman, Jon B. Weissman
End-to-End Optimization for Geo-Distributed MapReduce. IEEE Trans. Cloud Comput. 4 (3) (2016)
Kwangsung Oh, Abhishek Chandra, Jon B. Weissman
Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances. HPDC (2016)
Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman
Trading Timeliness and Accuracy in Geo-Distributed Streaming Analytics. SoCC (2016)
Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman
Optimizing Grouped Aggregation in Geo-Distributed Streaming Analytics. HPDC (2015)
John Kolb, Prashant Chaudhary, Alexander Schillinger, Abhishek Chandra, Jon B. Weissman
Cloud-Based, User-Centric Mobile Application Optimization. IC2E (2015)
Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman
Towards Optimizing Wide-Area Streaming Analytics. IC2E (2015)
Kwangsung Oh, Ajaykrishna Raghavan, Abhishek Chandra, Jon B. Weissman
Redefining Data Locality for Cross-Data Center Storage. BigSystem@HPDC (2015)
Benjamin Heintz, Abhishek Chandra
Enabling Scalable Social Group Analytics via Hypergraph Analysis Systems. HotCloud (2015)
William Myott, Thao Nguyen, Abhishek Chandra, George Karypis, Jon B. Weissman
Opportunities for data-driven cloud-based mobile optimization. CTS (2014)
Ajaykrishna Raghavan, Abhishek Chandra, Jon B. Weissman
Tiera: towards flexible multi-tiered cloud storage instances. Middleware (2014)
Benjamin Heintz, Abhishek Chandra
Beyond graphs: toward scalable hypergraph analysis systems. SIGMETRICS Perform. Evaluation Rev. 41 (4) (2014)
Ankit Sharma, Jaideep Srivastava, Abhishek Chandra
Predicting Multi-actor collaborations using Hypergraphs. CoRR (2014)
Mathew Ryden, Kwangsung Oh, Abhishek Chandra, Jon B. Weissman
Nebula: Distributed Edge Cloud for Data Intensive Computing. IC2E (2014)
Mathew Ryden, Kwangsung Oh, Abhishek Chandra, Jon B. Weissman
Nebula: Distributed edge cloud for data-intensive computing. CTS (2014)
John Kolb, William Myott, Thao Nguyen, Abhishek Chandra, Jon B. Weissman
Exploiting User Interest in Data-Driven Cloud-Based Mobile Optimization. MobileCloud (2014)
Aziz Mohaisen, Huy Tran, Abhishek Chandra, Yongdae Kim
Trustworthy Distributed Computing on Social Networks. IEEE Trans. Serv. Comput. 7 (3) (2014)
Abhishek Chandra, Jon B. Weissman, Benjamin Heintz
Decentralized Edge Clouds. IEEE Internet Comput. 17 (5) (2013)
Abedelaziz Mohaisen, Huy Tran, Abhishek Chandra, Yongdae Kim
Trustworthy distributed computing on social networks. AsiaCCS (2013)
Abhishek Chandra
Applications-aware virtual machine provisioning. VTDC@HPDC (2013)
Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman
Wide-area streaming analytics: distributing the data cube. SoCC (2013)
Benjamin Heintz, Chenyu Wang, Abhishek Chandra, Jon B. Weissman
Cross-Phase Optimization in MapReduce. IC2E (2013)
Siddharth Ramakrishnan, Robert Reutiman, Abhishek Chandra, Jon B. Weissman
Accelerating Distributed Workflows with Edge Resources. IPDPS Workshops (2013)
Chonglei Mei, Daniel Taylor, Chenyu Wang, Abhishek Chandra, Jon B. Weissman
Sharing-Aware Cloud-Based Mobile Outsourcing. IEEE CLOUD (2012)
Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman
Optimizing MapReduce for Highly Distributed Environments CoRR (2012)
Michael Cardosa, Aameek Singh, Himabindu Pucha, Abhishek Chandra
Exploiting Spatio-Temporal Tradeoffs for Energy-Aware MapReduce in the Cloud. IEEE Trans. Computers 61 (12) (2012)
Jon B. Weissman, Pradeep Sundarrajan, Abhishek Gupta, Matthew Ryden, Rohit Nair, Abhishek Chandra
Early experience with the distributed nebula cloud. DICT@HPDC (2011)
Michael Cardosa, Aameek Singh, Himabindu Pucha, Abhishek Chandra
Exploiting Spatio-temporal Tradeoffs for Energy-Aware MapReduce in the Cloud. IEEE CLOUD (2011)
Abedelaziz Mohaisen, Huy Tran, Abhishek Chandra, Yongdae Kim
SocialCloud: Using Social Networks for Building Distributed Computing Services CoRR (2011)
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
Passive Network Performance Estimation for Large-Scale, Data-Intensive Computing. IEEE Trans. Parallel Distributed Syst. 22 (8) (2011)
Michael Cardosa, Piyush Narang, Abhishek Chandra, Himabindu Pucha, Aameek Singh
STEAMEngine: Driving MapReduce provisioning in the cloud. HiPC (2011)
Jason D. Sonnek, James B. S. G. Greensky, Robert Reutiman, Abhishek Chandra
Starling: Minimizing Communication Overhead in Virtualized Computing Platforms Using Decentralized Affinity-Aware Migration. ICPP (2010)
Michael Cardosa, Abhishek Chandra
Resource Bundles: Using Aggregation for Statistical Large-Scale Resource Discovery and Management. IEEE Trans. Parallel Distributed Syst. 21 (8) (2010)
David Boutcher, Abhishek Chandra
Does virtualization make disk scheduling passé? ACM SIGOPS Oper. Syst. Rev. 44 (1) (2010)
Abhishek Chandra, Jon B. Weissman
Nebulas: Using Distributed Voluntary Resources to Build Clouds. HotCloud (2009)
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
Using Data Accessibility for Resource Selection in Large-Scale Distributed Systems. IEEE Trans. Parallel Distributed Syst. 20 (6) (2009)
Sourabh Jain, Inderpreet Singh, Abhishek Chandra, Zhi-Li Zhang, Greg Bronevetsky
Extracting the textual and temporal structure of supercomputing logs. HiPC (2009)
Michael Cardosa, Abhishek Chandra
HiDRA: Statistical multi-dimensional resource discovery for large-scale systems. IWQoS (2009)
Abhishek Chandra, Prashant J. Shenoy
Hierarchical Scheduling for Symmetric Multiprocessors. IEEE Trans. Parallel Distributed Syst. 19 (3) (2008)
Abhishek Chandra, Rohini Prinja, Sourabh Jain, Zhi-Li Zhang
Co-designing the failure analysis and monitoring of large-scale systems. SIGMETRICS Perform. Evaluation Rev. 36 (2) (2008)
Bhuvan Urgaonkar, Prashant J. Shenoy, Abhishek Chandra, Pawan Goyal, Timothy Wood
Agile dynamic provisioning of multi-tier Internet applications. ACM Trans. Auton. Adapt. Syst. 3 (1) (2008)
Michael Cardosa, Abhishek Chandra
Resource Bundles: Using Aggregation for Statistical Wide-Area Resource Discovery and Allocation. ICDCS (2008)
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
Accessibility-Based Resource Selection in Loosely-Coupled Distributed Systems. ICDCS (2008)
David Boutcher, Abhishek Chandra
Practical techniques for purging deleted data using liveness information. ACM SIGOPS Oper. Syst. Rev. 42 (5) (2008)
Vasumathi Sundaram, Abhishek Chandra, Jon B. Weissman
Exploring the throughput-fairness tradeoff of deadline scheduling in heterogeneous computing environments. SIGMETRICS (2008)
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks. CCGRID (2007)
Jason D. Sonnek, Abhishek Chandra, Jon B. Weissman
Adaptive Reputation-Based Scheduling on Unreliable Distributed Infrastructures. IEEE Trans. Parallel Distributed Syst. 18 (11) (2007)
Krishnaveni Budati, Jinoh Kim, Abhishek Chandra, Jon B. Weissman
NGS: Service Adaptation in Open Grid Platforms. IPDPS (2007)
Krishnaveni Budati, Jason D. Sonnek, Abhishek Chandra, Jon B. Weissman
Ridge: combining reliability and performance in open grid platforms. HPDC (2007)
Haiyang Liu, Abhishek Chandra, Jaideep Srivastava
eSENSE: energy efficient stochastic sensing framework scheme for wireless sensor platforms. IPSN (2006)
Abhishek Chandra, Prashant Pradhan, Renu Tewari, Sambit Sahu, Prashant J. Shenoy
An observation-based approach towards self-managing web servers. Comput. Commun. 29 (8) (2006)
Jason D. Sonnek, Mukesh Nathan, Abhishek Chandra, Jon B. Weissman
Reputation-Based Scheduling on Unreliable Distributed Infrastructures. ICDCS (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Abhishek Chandra