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2020 – today
- 2024
[c74]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: 13059-13067- [c73]Yixuan Wang, Abhishek Chandra, Jon B. Weissman:
Jingle: IoT-Informed Autoscaling for Efficient Resource Management in Edge Computing. CCGrid 2024: 395-407 - [c72]Joel Wolfrath, Anirudh Achanta, Abhishek Chandra:
Leveraging Multi-Modal Data for Efficient Edge Inference Serving. CCGrid 2024: 408-418 - [i14]Joel Wolfrath, Abhishek Chandra:
A Biased Estimator for MinMax Sampling and Distributed Aggregation. CoRR abs/2404.17690 (2024) - [i13]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 abs/2405.20836 (2024) - [i12]Abhishek Chandra, Bram Daniels, Mitrofan Curti, Koen Tiels, Elena A. Lomonova:
Magnetic Hysteresis Modeling with Neural Operators. CoRR abs/2407.03261 (2024) - 2023
- [c71]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGridW 2023: 308-310 - [c70]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGrid 2023: 414-425 - [c69]Joel Wolfrath, Abhishek Chandra:
Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics. SoCC 2023: 1-16 - [c68]Yixuan Wang, Abhishek Chandra, Jon B. Weissman:
SQuBA: Social Quorum Based Access Control for Open IoT Environments. EDGE 2023: 51-62 - [c67]Abhishek Chandra, Gagandeep Singh:
Hybrid Classification Model For Acoustic-Based Emergency Vehicle Detection. IC3I 2023: 1199-1205 - [i11]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 abs/2302.05313 (2023) - [i10]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 abs/2308.08989 (2023) - [i9]Abhishek Chandra, Taniya Kapoor, Bram Daniels, Mitrofan Curti, Koen Tiels, Daniel M. Tartakovsky, Elena A. Lomonova:
Neural oscillators for magnetic hysteresis modeling. CoRR abs/2308.12002 (2023) - 2022
- [j22]Kwangsung Oh, Minmin Zhang, Abhishek Chandra, Jon B. Weissman:
Network Cost-Aware Geo-Distributed Data Analytics System. IEEE Trans. Parallel Distributed Syst. 33(6): 1407-1420 (2022) - [c66]Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman:
Towards WAN-aware join sampling over geo-distributed data. EdgeSys@EuroSys 2022: 13-18 - [c65]Joel Wolfrath, Abhishek Chandra:
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. IC2E 2022: 47-57 - [c64]Lei Huang, Zhiying Liang, Nikhil Sreekumar, Sumanth Kaushik, Abhishek Chandra, Jon B. Weissman:
Towards Elasticity in Heterogeneous Edge-dense Environments. ICDCS 2022: 403-413 - [c63]Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, Abhishek Chandra:
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning. IPDPS 2022: 985-995 - [c62]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: 1451-1459 - [e3]Jon B. Weissman, Abhishek Chandra, Ada Gavrilovska, Devesh Tiwari:
HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022 - 1 July 2022. ACM 2022, ISBN 978-1-4503-9199-3 [contents] - [i8]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 abs/2201.12394 (2022) - [i7]Joel Wolfrath, Abhishek Chandra:
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. CoRR abs/2208.06103 (2022) - 2021
- [j21]Luca Vassio, Zhi-Li Zhang, Danilo Giordano, Abhishek Chandra:
Message from the organizers of WAIN. SIGMETRICS Perform. Evaluation Rev. 48(4): 28 (2021) - [c61]Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra:
Accelerated Training via Device Similarity in Federated Learning. EdgeSys@EuroSys 2021: 31-36 - [c60]Rankyung Hong, Abhishek Chandra:
DLion: Decentralized Distributed Deep Learning in Micro-Clouds. HPDC 2021: 227-238 - [c59]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: 264-275 - [c58]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics. SEC 2021: 297-311 - [i6]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 abs/2108.08685 (2021) - [i5]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 abs/2111.12002 (2021) - 2020
- [j20]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Optimizing Timeliness and Cost in Geo-Distributed Streaming Analytics. IEEE Trans. Cloud Comput. 8(1): 232-245 (2020) - [j19]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): 294-305 (2020) - [c57]Kwangsung Oh, Abhishek Chandra, Jon B. Weissman:
A Network Cost-aware Geo-distributed Data Analytics System. CCGRID 2020: 649-658 - [c56]Joel Wolfrath, Abhishek Chandra:
Poster: Data-Aware Edge Sampling for Aggregate Query Approximation. SEC 2020: 158-160 - [c55]Yuanli Wang, Dhruv Kumar, Abhishek Chandra:
Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning. SEC 2020: 164-166 - [c54]Nikhil Sreekumar, Abhishek Chandra, Jon B. Weissman:
Position Paper: Towards a Robust Edge-Native Storage System. SEC 2020: 285-292 - [c53]Albert Jonathan, Abhishek Chandra, Jon B. Weissman:
WASP: Wide-area Adaptive Stream Processing. Middleware 2020: 221-235
2010 – 2019
- 2019
- [j18]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): 29:1-29:27 (2019) - [c52]Rankyung Hong, Abhishek Chandra:
DLion: Decentralized Distributed Deep Learning in Micro-Clouds. HotCloud 2019 - [c51]Dhruv Kumar, Aravind Alagiri Ramkumar, Rohit Sindhu, Abhishek Chandra:
DeCaf: Iterative Collaborative Processing over the Edge. HotEdge 2019 - [c50]Zach Leidall, Abhishek Chandra, Jon B. Weissman:
An Edge-based Framework for Cooperation in Internet of Things Applications. HotEdge 2019 - [c49]Benjamin Heintz, Rankyung Hong, Shivangi Singh, Gaurav Khandelwal, Corey Tesdahl, Abhishek Chandra:
MESH: A Flexible Distributed Hypergraph Processing System. IC2E 2019: 12-22 - [c48]Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman:
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. SIGMETRICS (Abstracts) 2019: 15-16 - [r1]Abhishek Chandra, Benjamin Heintz, Ramesh K. Sitaraman:
Optimizing Geo-Distributed Streaming Analytics. Encyclopedia of Big Data Technologies 2019 - [i4]Benjamin Heintz, Rankyung Hong, Shivangi Singh, Gaurav Khandelwal, Corey Tesdahl, Abhishek Chandra:
MESH: A Flexible Distributed Hypergraph Processing System. CoRR abs/1904.00549 (2019) - 2018
- [c47]Albert Jonathan, Abhishek Chandra, Jon B. Weissman:
Multi-Query Optimization in Wide-Area Streaming Analytics. SoCC 2018: 412-425 - [c46]Rankyung Hong, Abhishek Chandra:
Decentralized Distributed Deep Learning in Heterogeneous WAN Environments. SoCC 2018: 505 - [c45]Albert Jonathan, Abhishek Chandra, Jon B. Weissman:
Rethinking Adaptability in Wide-Area Stream Processing Systems. HotCloud 2018 - [e2]Ming Zhao, Abhishek Chandra, Lavanya Ramakrishnan:
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2018, Tempe, AZ, USA, June 11-15, 2018. ACM 2018 [contents] - [e1]Abhishek Chandra, Jie Li, Ying Cai, Tian Guo:
2018 IEEE International Conference on Cloud Engineering, IC2E 2018, Orlando, FL, USA, April 17-20, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5008-0 [contents] - 2017
- [j17]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): 3229-3242 (2017) - [c44]Zach Leidall, Abhishek Chandra, Jon B. Weissman:
Creating an Abstraction to Exploit IoT Synergies: Poster Abstract. IoTDI 2017: 347-348 - [c43]Kwangsung Oh, Abhishek Chandra, Jon B. Weissman:
TripS: automated multi-tiered data placement in a geo-distributed cloud environment. SYSTOR 2017: 12:1-12:11 - [c42]Albert Jonathan, Abhishek Chandra, Jon B. Weissman:
Locality-Aware Load Sharing in Mobile Cloud Computing. UCC 2017: 141-150 - 2016
- [j16]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman, Jon B. Weissman:
End-to-End Optimization for Geo-Distributed MapReduce. IEEE Trans. Cloud Comput. 4(3): 293-306 (2016) - [c41]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Trading Timeliness and Accuracy in Geo-Distributed Streaming Analytics. SoCC 2016: 361-373 - [c40]Kwangsung Oh, Abhishek Chandra, Jon B. Weissman:
Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances. HPDC 2016: 165-176 - [c39]Albert Jonathan, Abhishek Chandra, Jon B. Weissman:
Awan: Locality-Aware Resource Manager for Geo-Distributed Data-Intensive Applications. IC2E 2016: 32-41 - 2015
- [c38]Benjamin Heintz, Abhishek Chandra:
Enabling Scalable Social Group Analytics via Hypergraph Analysis Systems. HotCloud 2015 - [c37]Kwangsung Oh, Ajaykrishna Raghavan, Abhishek Chandra, Jon B. Weissman:
Redefining Data Locality for Cross-Data Center Storage. BigSystem@HPDC 2015: 15-22 - [c36]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Optimizing Grouped Aggregation in Geo-Distributed Streaming Analytics. HPDC 2015: 133-144 - [c35]John Kolb, Prashant Chaudhary, Alexander Schillinger, Abhishek Chandra, Jon B. Weissman:
Cloud-Based, User-Centric Mobile Application Optimization. IC2E 2015: 26-35 - [c34]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Towards Optimizing Wide-Area Streaming Analytics. IC2E 2015: 452-457 - 2014
- [j15]Benjamin Heintz, Abhishek Chandra:
Beyond graphs: toward scalable hypergraph analysis systems. SIGMETRICS Perform. Evaluation Rev. 41(4): 94-97 (2014) - [j14]Aziz Mohaisen, Huy Tran, Abhishek Chandra, Yongdae Kim:
Trustworthy Distributed Computing on Social Networks. IEEE Trans. Serv. Comput. 7(3): 333-345 (2014) - [c33]William Myott, Thao Nguyen, Abhishek Chandra, George Karypis, Jon B. Weissman:
Opportunities for data-driven cloud-based mobile optimization. CTS 2014: 483-487 - [c32]Mathew Ryden, Kwangsung Oh, Abhishek Chandra, Jon B. Weissman:
Nebula: Distributed edge cloud for data-intensive computing. CTS 2014: 491-492 - [c31]Mathew Ryden, Kwangsung Oh, Abhishek Chandra, Jon B. Weissman:
Nebula: Distributed Edge Cloud for Data Intensive Computing. IC2E 2014: 57-66 - [c30]Ajaykrishna Raghavan, Abhishek Chandra, Jon B. Weissman:
Tiera: towards flexible multi-tiered cloud storage instances. Middleware 2014: 1-12 - [c29]John Kolb, William Myott, Thao Nguyen, Abhishek Chandra, Jon B. Weissman:
Exploiting User Interest in Data-Driven Cloud-Based Mobile Optimization. MobileCloud 2014: 228-235 - [p1]Benjamin Heintz, Abhishek Chandra, Jon B. Weissman:
Cross-Phase Optimization in MapReduce. Cloud Computing for Data-Intensive Applications 2014: 277-302 - [i3]Ankit Sharma, Jaideep Srivastava, Abhishek Chandra:
Predicting Multi-actor collaborations using Hypergraphs. CoRR abs/1401.6404 (2014) - 2013
- [j13]Abhishek Chandra, Jon B. Weissman, Benjamin Heintz:
Decentralized Edge Clouds. IEEE Internet Comput. 17(5): 70-73 (2013) - [c28]Abedelaziz Mohaisen, Huy Tran, Abhishek Chandra, Yongdae Kim:
Trustworthy distributed computing on social networks. AsiaCCS 2013: 155-160 - [c27]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Wide-area streaming analytics: distributing the data cube. SoCC 2013: 55:1-55:2 - [c26]Abhishek Chandra:
Applications-aware virtual machine provisioning. VTDC@HPDC 2013: 1-2 - [c25]Benjamin Heintz, Chenyu Wang, Abhishek Chandra, Jon B. Weissman:
Cross-Phase Optimization in MapReduce. IC2E 2013: 338-347 - [c24]Siddharth Ramakrishnan, Robert Reutiman, Abhishek Chandra, Jon B. Weissman:
Accelerating Distributed Workflows with Edge Resources. IPDPS Workshops 2013: 2129-2138 - 2012
- [j12]Michael Cardosa, Aameek Singh, Himabindu Pucha, Abhishek Chandra:
Exploiting Spatio-Temporal Tradeoffs for Energy-Aware MapReduce in the Cloud. IEEE Trans. Computers 61(12): 1737-1751 (2012) - [c23]Chonglei Mei, Daniel Taylor, Chenyu Wang, Abhishek Chandra, Jon B. Weissman:
Sharing-Aware Cloud-Based Mobile Outsourcing. IEEE CLOUD 2012: 408-415 - [i2]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Optimizing MapReduce for Highly Distributed Environments. CoRR abs/1207.7055 (2012) - 2011
- [j11]Jinoh Kim, Abhishek Chandra, Jon B. Weissman:
Passive Network Performance Estimation for Large-Scale, Data-Intensive Computing. IEEE Trans. Parallel Distributed Syst. 22(8): 1365-1373 (2011) - [c22]Michael Cardosa, Aameek Singh, Himabindu Pucha, Abhishek Chandra:
Exploiting Spatio-temporal Tradeoffs for Energy-Aware MapReduce in the Cloud. IEEE CLOUD 2011: 251-258 - [c21]Michael Cardosa, Piyush Narang, Abhishek Chandra, Himabindu Pucha, Aameek Singh:
STEAMEngine: Driving MapReduce provisioning in the cloud. HiPC 2011: 1-10 - [c20]Jon B. Weissman, Pradeep Sundarrajan, Abhishek Gupta, Matthew Ryden, Rohit Nair, Abhishek Chandra:
Early experience with the distributed nebula cloud. DICT@HPDC 2011: 17-26 - [i1]Abedelaziz Mohaisen, Huy Tran, Abhishek Chandra, Yongdae Kim:
SocialCloud: Using Social Networks for Building Distributed Computing Services. CoRR abs/1112.2254 (2011) - 2010
- [j10]David Boutcher, Abhishek Chandra:
Does virtualization make disk scheduling passé? ACM SIGOPS Oper. Syst. Rev. 44(1): 20-24 (2010) - [j9]Michael Cardosa, Abhishek Chandra:
Resource Bundles: Using Aggregation for Statistical Large-Scale Resource Discovery and Management. IEEE Trans. Parallel Distributed Syst. 21(8): 1089-1102 (2010) - [c19]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: 228-237
2000 – 2009
- 2009
- [j8]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): 788-801 (2009) - [c18]Sourabh Jain, Inderpreet Singh, Abhishek Chandra, Zhi-Li Zhang, Greg Bronevetsky:
Extracting the textual and temporal structure of supercomputing logs. HiPC 2009: 254-263 - [c17]Abhishek Chandra, Jon B. Weissman:
Nebulas: Using Distributed Voluntary Resources to Build Clouds. HotCloud 2009 - [c16]Michael Cardosa, Abhishek Chandra:
HiDRA: Statistical multi-dimensional resource discovery for large-scale systems. IWQoS 2009: 1-9 - 2008
- [j7]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): 10-15 (2008) - [j6]David Boutcher, Abhishek Chandra:
Practical techniques for purging deleted data using liveness information. ACM SIGOPS Oper. Syst. Rev. 42(5): 85-94 (2008) - [j5]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): 1:1-1:39 (2008) - [j4]Abhishek Chandra, Prashant J. Shenoy:
Hierarchical Scheduling for Symmetric Multiprocessors. IEEE Trans. Parallel Distributed Syst. 19(3): 418-431 (2008) - [c15]Michael Cardosa, Abhishek Chandra:
Resource Bundles: Using Aggregation for Statistical Wide-Area Resource Discovery and Allocation. ICDCS 2008: 760-768 - [c14]Jinoh Kim, Abhishek Chandra, Jon B. Weissman:
Accessibility-Based Resource Selection in Loosely-Coupled Distributed Systems. ICDCS 2008: 777-784 - [c13]Vasumathi Sundaram, Abhishek Chandra, Jon B. Weissman:
Exploring the throughput-fairness tradeoff of deadline scheduling in heterogeneous computing environments. SIGMETRICS 2008: 463-464 - 2007
- [j3]Jason D. Sonnek, Abhishek Chandra, Jon B. Weissman:
Adaptive Reputation-Based Scheduling on Unreliable Distributed Infrastructures. IEEE Trans. Parallel Distributed Syst. 18(11): 1551-1564 (2007) - [c12]Jinoh Kim, Abhishek Chandra, Jon B. Weissman:
Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks. CCGRID 2007: 275-282 - [c11]Krishnaveni Budati, Jason D. Sonnek, Abhishek Chandra, Jon B. Weissman:
Ridge: combining reliability and performance in open grid platforms. HPDC 2007: 55-64 - [c10]Krishnaveni Budati, Jinoh Kim, Abhishek Chandra, Jon B. Weissman:
NGS: Service Adaptation in Open Grid Platforms. IPDPS 2007: 1-8 - 2006
- [j2]Abhishek Chandra, Prashant Pradhan, Renu Tewari, Sambit Sahu, Prashant J. Shenoy:
An observation-based approach towards self-managing web servers. Comput. Commun. 29(8): 1174-1188 (2006) - [j1]Rahul Trivedi, Abhishek Chandra, Jon B. Weissman:
Heterogeneity-Aware Workload Distribution in Donation-Based Grids. Int. J. High Perform. Comput. Appl. 20(4): 455-466 (2006) - [c9]Jason D. Sonnek, Mukesh Nathan, Abhishek Chandra, Jon B. Weissman:
Reputation-Based Scheduling on Unreliable Distributed Infrastructures. ICDCS 2006: 30 - [c8]Haiyang Liu, Abhishek Chandra, Jaideep Srivastava:
eSENSE: energy efficient stochastic sensing framework scheme for wireless sensor platforms. IPSN 2006: 235-242 - 2005
- [c7]Bhuvan Urgaonkar, Prashant J. Shenoy, Abhishek Chandra, Pawan Goyal:
Dynamic Provisioning of Multi-tier Internet Applications. ICAC 2005: 217-228 - 2003
- [c6]Abhishek Chandra, Weibo Gong, Prashant J. Shenoy:
Dynamic Resource Allocation for Shared Data Centers Using Online Measurements. IWQoS 2003: 381-400 - [c5]Abhishek Chandra, Weibo Gong, Prashant J. Shenoy:
Dynamic resource allocation for shared data centers using online measurements. SIGMETRICS 2003: 300-301 - 2001
- [c4]Abhishek Chandra, Micah Adler, Prashant J. Shenoy:
Deadline Fair Scheduling: Bridging the Theory and Practice of Proportionate Fair Scheduling in Multiprocessor Systems. IEEE Real Time Technology and Applications Symposium 2001: 3-14 - [c3]Abhishek Chandra, David Mosberger:
Scalability of Linux Event-Dispatch Mechanisms. USENIX ATC, General Track 2001: 231-244 - 2000
- [c2]Vijay Sundaram, Abhishek Chandra, Pawan Goyal, Prashant J. Shenoy, Jasleen Sahni, Harrick M. Vin:
Application performance in the QLinux multimedia operating system. ACM Multimedia 2000: 127-136 - [c1]Abhishek Chandra, Micah Adler, Pawan Goyal, Prashant J. Shenoy:
Surplus Fair Scheduling: A Proportional-Share CPU Scheduling Algorithm for Symmetric Multiprocessors. OSDI 2000: 45-58
Coauthor Index
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