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ORCIDRamesh K. Sitaraman
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- affiliation: University of Massachusetts Amherst, USA
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2020 – today
- 2024
[j45]Lingdong Wang
, Simran Singh, Jacob Chakareski, Mohammad Hajiesmaili, Ramesh K. Sitaraman:
BONES: Near-Optimal Neural-Enhanced Video Streaming. Proc. ACM Meas. Anal. Comput. Syst. 8(2): 19:1-19:28 (2024)- [c104]Sohaib Ahmad, Hui Guan, Brian D. Friedman, Thomas Williams, Ramesh K. Sitaraman, Thomas Y. C. Woo:
Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling. ASPLOS (1) 2024: 318-334 - [c103]Diptyaroop Maji, Noman Bashir, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman:
The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy. e-Energy 2024: 13-24 - [c102]Sohaib Ahmad, Hui Guan, Ramesh K. Sitaraman:
Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling. HPDC 2024: 267-280 - [c101]Mingyuan Wu, Ruifan Ji, Haozhen Zheng, Jiaxi Li, Beitong Tian, Bo Chen, Ruixiao Zhang, Jacob Chakareski, Michael Zink, Ramesh K. Sitaraman, Klara Nahrstedt:
Scene Graph Driven Hybrid Interactive VR Teleconferencing. ACM Multimedia 2024: 11276-11278 - [c100]Ali Zeynali, Mohammad H. Hajiesmaili, Ramesh K. Sitaraman:
BOLA360: Near-optimal View and Bitrate Adaptation for 360-degree Video Streaming. MMSys 2024: 12-22 - [c99]Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman:
SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. SIGCOMM 2024: 613-644 - [c98]Lingdong Wang, Simran Singh, Jacob Chakareski, Mohammad Hajiesmaili, Ramesh K. Sitaraman:
BONES: Near-Optimal Neural-Enhanced Video Streaming. SIGMETRICS/Performance (Abstracts) 2024: 61-62 - [i21]Diptyaroop Maji, Noman Bashir, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman:
The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy. CoRR abs/2402.03550 (2024) - [i20]Sohaib Ahmad, Hui Guan, Ramesh K. Sitaraman:
Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling. CoRR abs/2407.03583 (2024) - 2023
- [j44]Ramesh K. Sitaraman:
Opening the Door to SSD Algorithmics: Technical Perspective. Commun. ACM 66(7): 128 (2023) - [j43]Anirudh Sabnis, Tareq Si Salem, Giovanni Neglia, Michele Garetto, Emilio Leonardi, Ramesh K. Sitaraman:
GRADES: Gradient Descent for Similarity Caching. IEEE/ACM Trans. Netw. 31(1): 30-41 (2023) - [c97]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGridW 2023: 308-310 - [c96]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGrid 2023: 414-425 - [c95]Diptyaroop Maji, Ben Pfaff, Vipin P. R, Rajagopal Sreenivasan, Victor Firoiu, Sreeram Iyer, Colleen Josephson, Zhelong Pan, Ramesh K. Sitaraman:
Bringing Carbon Awareness to Multi-cloud Application Delivery. HotCarbon 2023: 6:1-6:6 - [c94]Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh K. Sitaraman, Zhenhua Liu:
Applied Online Algorithms with Heterogeneous Predictors. ICML 2023: 23484-23497 - [c93]Qian Zhou, Mingyuan Wu, Yinjie Zhang, Michael Zink, Ramesh K. Sitaraman, Klara Nahrstedt:
360TripleView: 360-Degree Video View Management System Driven by Convergence Value of Viewing Preferences. ISM 2023: 28-35 - [c92]Mingyuan Wu, Yuhan Lu, Shiv Trivedi, Bo Chen, Qian Zhou, Lingdong Wang, Simran Singh, Michael Zink, Ramesh K. Sitaraman, Jacob Chakareski, Klara Nahrstedt:
Interactive Scene Graph Analysis for Future Intelligent Teleconferencing Systems. ISM 2023: 251-255 - [c91]Jiayi Chen, Nihal Sharma, Tarannum Khan, Shu Liu, Brian Chang, Aditya Akella, Sanjay Shakkottai, Ramesh K. Sitaraman:
Darwin: Flexible Learning-based CDN Caching. SIGCOMM 2023: 981-999 - [i19]Qian Zhou, Michael Zink, Ramesh K. Sitaraman, Klara Nahrstedt:
360TripleView: 360-Degree Video View Management System Driven by Convergence Value of Viewing Preferences. CoRR abs/2306.08089 (2023) - [i18]Diptyaroop Maji, Noman Bashir, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman:
Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing. CoRR abs/2308.06680 (2023) - [i17]Ali Zeynali, Mohammad Hajiesmaili, Ramesh K. Sitaraman:
BOLA360: Near-optimal View and Bitrate Adaptation for 360-degree Video Streaming. CoRR abs/2309.04023 (2023) - [i16]Lingdong Wang, Simran Singh, Jacob Chakareski, Mohammad Hajiesmaili, Ramesh K. Sitaraman:
BONES: Near-Optimal Neural-Enhanced Video Streaming. CoRR abs/2310.09920 (2023) - 2022
- [j42]Russell Lee, Yutao Zhou, Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman:
Competitive Bidding Strategies for Online Linear Optimization with Inventory Management Constraints. SIGMETRICS Perform. Evaluation Rev. 49(3): 6-7 (2022) - [c90]Diptyaroop Maji, Ramesh K. Sitaraman, Prashant J. Shenoy:
DACF: day-ahead carbon intensity forecasting of power grids using machine learning. e-Energy 2022: 188-192 - [c89]Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman:
Towards WAN-aware join sampling over geo-distributed data. EdgeSys@EuroSys 2022: 13-18 - [c88]Anirudh Sabnis, Ramesh K. Sitaraman:
JEDI: model-driven trace generation for cache simulations. IMC 2022: 679-693 - [c87]Shivi Vats, Jounsup Park, Klara Nahrstedt, Michael Zink, Ramesh K. Sitaraman, Hermann Hellwagner:
Semantic-Aware View Prediction for 360-Degree Videos at the 5G Edge. ISM 2022: 121-128 - [c86]Juncheng Yang, Anirudh Sabnis, Daniel S. Berger, K. V. Rashmi, Ramesh K. Sitaraman:
C2DN: How to Harness Erasure Codes at the Edge for Efficient Content Delivery. NSDI 2022: 1159-1177 - [c85]Diptyaroop Maji, Prashant J. Shenoy, Ramesh K. Sitaraman:
CarbonCast: multi-day forecasting of grid carbon intensity. BuildSys@SenSys 2022: 198-207 - [c84]Lin Yang, Ali Zeynali, Mohammad H. Hajiesmaili, Ramesh K. Sitaraman, Don Towsley:
Competitive Algorithms for Online Multidimensional Knapsack Problems. SIGMETRICS (Abstracts) 2022: 87-88 - [i15]Lingdong Wang, Mohammad H. Hajiesmaili, Jacob Chakareski, Ramesh K. Sitaraman:
CU-Net: Efficient Point Cloud Color Upsampling Network. CoRR abs/2209.06112 (2022) - 2021
- [j41]Russell Lee, Yutao Zhou, Lin Yang, Mohammad H. Hajiesmaili, Ramesh K. Sitaraman:
Competitive bidding strategies for online linear optimization with inventory management constraints. Perform. Evaluation 152: 102249 (2021) - [j40]Lin Yang, Ali Zeynali, Mohammad H. Hajiesmaili, Ramesh K. Sitaraman, Don Towsley:
Competitive Algorithms for Online Multidimensional Knapsack Problems. Proc. ACM Meas. Anal. Comput. Syst. 5(3): 30:1-30:30 (2021) - [c83]Jessica Maghakian, Russell Lee, Mohammad H. Hajiesmaili, Jian Li, Zhenhua Liu, Ramesh K. Sitaraman:
Leveraging Different Types of Predictors for Online Optimization (Invited Paper). CISS 2021: 1 - [c82]Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman:
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. SoCC 2021: 350-358 - [c81]Mirko Palmer, Malte Appel, Kevin Spiteri, Balakrishnan Chandrasekaran, Anja Feldmann, Ramesh K. Sitaraman:
VOXEL: cross-layer optimization for video streaming with imperfect transmission. CoNEXT 2021: 359-374 - [c80]Russell Lee, Jessica Maghakian, Mohammad H. Hajiesmaili, Jian Li, Ramesh K. Sitaraman, Zhenhua Liu:
Online Peak-Aware Energy Scheduling with Untrusted Advice. e-Energy 2021: 107-123 - [c79]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics. SEC 2021: 297-311 - [c78]Anirudh Sabnis, Ramesh K. Sitaraman:
TRAGEN: a synthetic trace generator for realistic cache simulations. Internet Measurement Conference 2021: 366-379 - [c77]Anirudh Sabnis, Tareq Si Salem, Giovanni Neglia, Michele Garetto, Emilio Leonardi, Ramesh K. Sitaraman:
GRADES: Gradient Descent for Similarity Caching. INFOCOM 2021: 1-10 - [c76]Lingdong Wang, Mohammad H. Hajiesmaili, Ramesh K. Sitaraman:
FOCAS: Practical Video Super Resolution using Foveated Rendering. ACM Multimedia 2021: 5454-5462 - [c75]Xiao Zhang, Tanmoy Sen, Zheyuan Zhang, Tim April, Balakrishnan Chandrasekaran, David R. Choffnes, Bruce M. Maggs, Haiying Shen, Ramesh K. Sitaraman, Xiaowei Yang:
AnyOpt: predicting and optimizing IP Anycast performance. SIGCOMM 2021: 447-462 - [i14]Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman:
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. CoRR abs/2106.08872 (2021) - 2020
- [j39]Vadim Kirilin, Aditya Sundarrajan, Sergey Gorinsky, Ramesh K. Sitaraman:
RL-Cache: Learning-Based Cache Admission for Content Delivery. IEEE J. Sel. Areas Commun. 38(10): 2372-2385 (2020) - [j38]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong:
Online Linear Optimization with Inventory Management Constraints. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 16:1-16:29 (2020) - [j37]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) - [j36]Kevin Spiteri, Rahul Urgaonkar, Ramesh K. Sitaraman:
BOLA: Near-Optimal Bitrate Adaptation for Online Videos. IEEE/ACM Trans. Netw. 28(4): 1698-1711 (2020) - [c74]Jounsup Park, Mingyuan Wu, Kuan-Ying Lee, Bo Chen, Klara Nahrstedt, Michael Zink, Ramesh K. Sitaraman:
SEAWARE: Semantic Aware View Prediction System for 360-degree Video Streaming. ISM 2020: 57-64 - [c73]Yunzhuo Liu, Bo Jiang, Tian Guo, Ramesh K. Sitaraman, Don Towsley, Xinbing Wang:
Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding. ACM Multimedia 2020: 349-357 - [c72]Jounsup Park, Mingyuan Wu, Eric Lee, Klara Nahrstedt, Yash Shah, Arielle Rosenthal, John Murray, Kevin Spiteri, Michael Zink, Ramesh K. Sitaraman:
Video 360 Content Navigation for Mobile HMD Devices. ACM Multimedia 2020: 4497-4499 - [c71]Kyle Schomp, Onkar Bhardwaj, Eymen Kurdoglu, Mashooq Muhaimen, Ramesh K. Sitaraman:
Akamai DNS: Providing Authoritative Answers to the World's Queries. SIGCOMM 2020: 465-478 - [c70]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong:
Online Linear Optimization with Inventory Management Constraints. SIGMETRICS (Abstracts) 2020: 7 - [c69]Aditya Sundarrajan, Mangesh Kasbekar, Ramesh K. Sitaraman, Samta Shukla:
Midgress-aware traffic provisioning for content delivery. USENIX ATC 2020: 543-557 - [i13]Dan Wang, Arun Vishwanath, Ramesh K. Sitaraman, Iven Mareels:
Organizing Virtual Conferences through Mirrors: The ACM e-Energy 2020 Experience. CoRR abs/2008.08318 (2020)
2010 – 2019
- 2019
- [j35]Michael Zink, Ramesh K. Sitaraman, Klara Nahrstedt:
Scalable 360° Video Stream Delivery: Challenges, Solutions, and Opportunities. Proc. IEEE 107(4): 639-650 (2019) - [j34]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) - [j33]Kevin Spiteri, Ramesh K. Sitaraman, Daniel Sparacio:
From Theory to Practice: Improving Bitrate Adaptation in the DASH Reference Player. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 67:1-67:29 (2019) - [c68]Vani Gupta, Prashant J. Shenoy, Ramesh K. Sitaraman:
Combining Renewable Solar and Open Air Cooling for Greening Internet-Scale Distributed Networks. e-Energy 2019: 303-314 - [c67]Sohaib Ahmad, Arielle Rosenthal, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman:
Learning from Optimal: Energy Procurement Strategies for Data Centers. e-Energy 2019: 326-330 - [c66]Hamed R. Bonab, James Allan, Ramesh K. Sitaraman:
Simulating CLIR Translation Resource Scarcity using High-resource Languages. ICTIR 2019: 129-136 - [c65]Aaron Paulos, Soura Dasgupta, Jacob Beal, Yuanqiu Mo, Khoi D. Hoang, Lyles J. Bryan, Partha P. Pal, Richard E. Schantz, Jon Schewe, Ramesh K. Sitaraman, Alexander Wald, Christabel Wayllace, William Yeoh:
A Framework for Self-Adaptive Dispersal of Computing Services. FAS*W@SASO/ICAC 2019: 98-103 - [c64]Vadim Kirilin, Aditya Sundarrajan, Sergey Gorinsky, Ramesh K. Sitaraman:
RL-Cache: Learning-Based Cache Admission for Content Delivery. NetAI@SIGCOMM 2019: 57-63 - [c63]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 - [i12]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Enrique Mallada, Wing Shing Wong, Adam Wierman:
Online Inventory Management with Application to Energy Procurement in Data Centers. CoRR abs/1901.04372 (2019) - 2018
- [j32]Anirudh Sabnis, Ramesh K. Sitaraman, Donald F. Towsley:
OCCAM: An Optimization Based Approach to Network Inference. SIGMETRICS Perform. Evaluation Rev. 46(2): 36-38 (2018) - [j31]Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman:
Adaptive TTL-Based Caching for Content Delivery. IEEE/ACM Trans. Netw. 26(3): 1063-1077 (2018) - [c62]Vani Gupta, Prashant J. Shenoy, Ramesh K. Sitaraman:
Efficient solar provisioning for net-zero Internet-scale distributed networks. COMSNETS 2018: 372-379 - [c61]Kevin Spiteri, Ramesh K. Sitaraman, Daniel Sparacio:
From theory to practice: improving bitrate adaptation in the DASH reference player. MMSys 2018: 123-137 - [i11]Anirudh Sabnis, Ramesh K. Sitaraman, Donald F. Towsley:
OCCAM: An Optimization-Based Approach to Network Inference. CoRR abs/1806.03542 (2018) - 2017
- [j30]Tan N. Le, Jie Liang, Zhenhua Liu, Ramesh K. Sitaraman, Jayakrishnan Nair, Bong Jun Choi:
Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets. SIGMETRICS Perform. Evaluation Rev. 45(2): 58-63 (2017) - [j29]Tan N. Le, Jie Liang, Zhenhua Liu, Ramesh K. Sitaraman, Jayakrishnan Nair, Bong Jun Choi:
Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets. SIGMETRICS Perform. Evaluation Rev. 45(3): 185-197 (2017) - [j28]Mostafa Dehghan, Bo Jiang, Anand Seetharam, Ting He, Theodoros Salonidis, Jim Kurose, Don Towsley, Ramesh K. Sitaraman:
On the Complexity of Optimal Request Routing and Content Caching in Heterogeneous Cache Networks. IEEE/ACM Trans. Netw. 25(3): 1635-1648 (2017) - [c60]Aditya Sundarrajan, Mingdong Feng, Mangesh Kasbekar, Ramesh K. Sitaraman:
Footprint Descriptors: Theory and Practice of Cache Provisioning in a Global CDN. CoNEXT 2017: 55-67 - [c59]Bruce Spang, Anirudh Sabnis, Ramesh K. Sitaraman, Donald F. Towsley, Brian DeCleene:
MON: Mission-optimized overlay networks. INFOCOM 2017: 1-9 - [c58]Amr Rizk, Michael Zink, Ramesh K. Sitaraman:
Model-based design and analysis of cache hierarchies. Networking 2017: 1-9 - [c57]Daniel S. Berger, Ramesh K. Sitaraman, Mor Harchol-Balter:
AdaptSize: Orchestrating the Hot Object Memory Cache in a Content Delivery Network. NSDI 2017: 483-498 - [c56]Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman:
Adaptive TTL-Based Caching for Content Delivery. SIGMETRICS (Abstracts) 2017: 45-46 - [i10]Bruce Spang, Anirudh Sabnis, Ramesh K. Sitaraman, Don Towsley, Brian DeCleene:
MON: Mission-optimized Overlay Networks. CoRR abs/1701.08098 (2017) - [i9]Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman:
Adaptive TTL-Based Caching for Content Delivery. CoRR abs/1704.04448 (2017) - 2016
- [j27]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) - [c55]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Trading Timeliness and Accuracy in Geo-Distributed Streaming Analytics. SoCC 2016: 361-373 - [c54]Vani Gupta, Stephen Lee, Prashant J. Shenoy, Ramesh K. Sitaraman, Rahul Urgaonkar:
How to cool internet-scale distributed networks on the cheap. e-Energy 2016: 9:1-9:12 - [c53]Aditya Sundarrajan, Mangesh Kasbekar, Ramesh K. Sitaraman:
Energy-efficient disk caching for content delivery. e-Energy 2016: 20:1-20:12 - [c52]Kevin Spiteri, Rahul Urgaonkar, Ramesh K. Sitaraman:
BOLA: Near-optimal bitrate adaptation for online videos. INFOCOM 2016: 1-9 - [c51]Chang Liu, Ramesh K. Sitaraman, Don Towsley:
Go-with-the-winner: Performance based client-side server selection. Networking 2016: 404-412 - [i8]Kevin Spiteri, Rahul Urgaonkar, Ramesh K. Sitaraman:
BOLA: Near-Optimal Bitrate Adaptation for Online Videos. CoRR abs/1601.06748 (2016) - 2015
- [j26]Bruce M. Maggs, Ramesh K. Sitaraman:
Algorithmic Nuggets in Content Delivery. Comput. Commun. Rev. 45(3): 52-66 (2015) - [j25]David Gillman, Yin Lin, Bruce M. Maggs, Ramesh K. Sitaraman:
Protecting Websites from Attack with Secure Delivery Networks. Computer 48(4): 26-34 (2015) - [j24]Vimal Mathew, Ramesh K. Sitaraman, Prashant J. Shenoy:
Energy-efficient content delivery networks using cluster shutdown. Sustain. Comput. Informatics Syst. 6: 58-68 (2015) - [c50]Aditya Kumar Mishra, Ramesh K. Sitaraman, David E. Irwin, Ting Zhu, Prashant J. Shenoy, Bhavana Dalvi, Stephen Lee:
Integrating Energy Storage in Electricity Distribution Networks. e-Energy 2015: 37-46 - [c49]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Optimizing Grouped Aggregation in Geo-Distributed Streaming Analytics. HPDC 2015: 133-144 - [c48]Xin He, Prashant J. Shenoy, Ramesh K. Sitaraman, David E. Irwin:
Cutting the Cost of Hosting Online Services Using Cloud Spot Markets. HPDC 2015: 207-218 - [c47]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Towards Optimizing Wide-Area Streaming Analytics. IC2E 2015: 452-457 - [c46]Stephen Lee, Rahul Urgaonkar, Ramesh K. Sitaraman, Prashant J. Shenoy:
Cost Minimization Using Renewable Cooling and Thermal Energy Storage in CDNs. ICAC 2015: 121-126 - [c45]Mostafa Dehghan, Anand Seetharam, Bo Jiang, Ting He, Theodoros Salonidis, Jim Kurose, Don Towsley, Ramesh K. Sitaraman:
On the complexity of optimal routing and content caching in heterogeneous networks. INFOCOM 2015: 936-944 - [c44]Dilip Kumar Krishnappa, Michael Zink, Ramesh K. Sitaraman:
Optimizing the video transcoding workflow in content delivery networks. MMSys 2015: 37-48 - [c43]Fangfei Chen, Ramesh K. Sitaraman, Marcelo Torres:
End-User Mapping: Next Generation Request Routing for Content Delivery. SIGCOMM 2015: 167-181 - [c42]Vani Gupta, Stephen Lee, Prashant J. Shenoy, Ramesh K. Sitaraman, Rahul Urgaonkar:
Towards Cooling Internet-Scale Distributed Networks on the Cheap. SIGMETRICS 2015: 469-470 - [i7]Mostafa Dehghan, Anand Seetharam, Bo Jiang, Ting He, Theodoros Salonidis, Jim Kurose, Don Towsley, Ramesh K. Sitaraman:
On the Complexity of Optimal Routing and Content Caching in Heterogeneous Networks. CoRR abs/1501.00216 (2015) - 2014
- [c41]Vimal Mathew, Ramesh K. Sitaraman, Prashant J. Shenoy:
Reducing energy costs in Internet-scale distributed systems using load shifting. COMSNETS 2014: 1-8 - [c40]Syed Hasan, Sergey Gorinsky, Constantine Dovrolis, Ramesh K. Sitaraman:
Trade-offs in optimizing the cache deployments of CDNs. INFOCOM 2014: 460-468 - [i6]Chang Liu, Ramesh K. Sitaraman, Don Towsley:
Go-With-The-Winner: Client-Side Server Selection for Content Delivery. CoRR abs/1401.0209 (2014) - 2013
- [j23]S. Shunmuga Krishnan, Ramesh K. Sitaraman:
Video Stream Quality Impacts Viewer Behavior: Inferring Causality Using Quasi-Experimental Designs. IEEE/ACM Trans. Netw. 21(6): 2001-2014 (2013) - [c39]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Wide-area streaming analytics: distributing the data cube. SoCC 2013: 55:1-55:2 - [c38]Ramesh K. Sitaraman:
Network performance: Does it really matter to users and by how much? COMSNETS 2013: 1-10 - [c37]Jinlong Tu, Lian Lu, Minghua Chen, Ramesh K. Sitaraman:
Dynamic provisioning in next-generation data centers with on-site power production. e-Energy 2013: 137-148 - [c36]Vimal Mathew, Ramesh K. Sitaraman, Prashant J. Shenoy:
Energy-efficient content delivery networks using cluster shutdown. IGCC 2013: 1-10 - [c35]S. Shunmuga Krishnan, Ramesh K. Sitaraman:
Understanding the effectiveness of video ads: a measurement study. Internet Measurement Conference 2013: 149-162 - [c34]Abhigyan Sharma, Arun Venkataramani, Ramesh K. Sitaraman:
Distributing content simplifies ISP traffic engineering. SIGMETRICS 2013: 229-242 - [i5]Jinlong Tu, Lian Lu, Minghua Chen, Ramesh K. Sitaraman:
Dynamic Provisioning in Next-Generation Data Centers with On-site Power Production. CoRR abs/1303.6775 (2013) - 2012
- [c33]Darshan S. Palasamudram, Ramesh K. Sitaraman, Bhuvan Urgaonkar, Rahul Urgaonkar:
Using batteries to reduce the power costs of internet-scale distributed networks. SoCC 2012: 11 - [c32]S. Shunmuga Krishnan, Ramesh K. Sitaraman:
Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs. Internet Measurement Conference 2012: 211-224 - [c31]Vimal Mathew, Ramesh K. Sitaraman, Prashant J. Shenoy:
Energy-aware load balancing in content delivery networks. INFOCOM 2012: 954-962 - [c30]Sean Kenneth Barker, Timothy Wood, Prashant J. Shenoy, Ramesh K. Sitaraman:
An Empirical Study of Memory Sharing in Virtual Machines. USENIX ATC 2012: 273-284 - [i4]Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman:
Optimizing MapReduce for Highly Distributed Environments. CoRR abs/1207.7055 (2012) - [i3]Abhigyan Sharma, Arun Venkataramani, Ramesh K. Sitaraman:
Distributing Content Simplifies ISP Traffic Engineering. CoRR abs/1209.5715 (2012) - 2011
- [j22]Micah Adler, Ramesh K. Sitaraman, Harish Venkataramani:
Algorithms for optimizing the bandwidth cost of content delivery. Comput. Networks 55(18): 4007-4020 (2011) - [c29]George C. Polyzos, Bengt Ahlgren, Van Jacobson, Teemu Koponen, Ramesh K. Sitaraman, Dirk Trossen:
Information-centric networking: state of advance. ICN 2011: 25 - [c28]Michael Sindelar, Ramesh K. Sitaraman, Prashant J. Shenoy:
Sharing-aware algorithms for virtual machine colocation. SPAA 2011: 367-378 - [i2]Konstantin Andreev, Bruce M. Maggs, Adam Meyerson, Jevan Saks, Ramesh K. Sitaraman:
Algorithms for Constructing Overlay Networks For Live Streaming. CoRR abs/1109.4114 (2011) - [i1]Vimal Mathew, Ramesh K. Sitaraman, Prashant J. Shenoy:
Energy-Aware Load Balancing in Content Delivery Networks. CoRR abs/1109.5641 (2011) - 2010
- [j21]Erik Nygren, Ramesh K. Sitaraman, Joel Wein:
Networked systems research at Akamai. ACM SIGOPS Oper. Syst. Rev. 44(3): 1 (2010) - [j20]Erik Nygren, Ramesh K. Sitaraman, Jennifer Sun:
The Akamai network: a platform for high-performance internet applications. ACM SIGOPS Oper. Syst. Rev. 44(3): 2-19 (2010) - [c27]George Dean Bissias, Brian Neil Levine, Ramesh K. Sitaraman:
Assessing the vulnerability of replicated network services. CoNEXT 2010: 24
2000 – 2009
- 2009
- [j19]Devesh Agrawal, Deepak Ganesan, Ramesh K. Sitaraman, Yanlei Diao, Shashi Singh:
Lazy-Adaptive Tree: An Optimized Index Structure for Flash Devices. Proc. VLDB Endow. 2(1): 361-372 (2009) - [c26]Yoonheui Kim, Victor R. Lesser, Deepak Ganesan, Ramesh K. Sitaraman:
Cluster-Swap: A Distributed K-median Algorithm for Sensor Networks. IAT 2009: 363-370 - 2008
- [j18]Aditya Akella, Bruce M. Maggs, Srinivasan Seshan, Anees Shaikh, Ramesh K. Sitaraman:
Corrections to "on the performance benefits of multihoming route control". IEEE/ACM Trans. Netw. 16(2): 496 (2008) - 2006
- [c25]Micah Adler, Ramesh K. Sitaraman, Harish Venkataramani:
Algorithms for Optimizing Bandwidth Costs on the Internet. HotWeb 2006: 1-9 - [c24]Ben Carterette, James Allan, Ramesh K. Sitaraman:
Minimal test collections for retrieval evaluation. SIGIR 2006: 268-275 - 2004
- [j17]Leonidas I. Kontothanassis, Ramesh K. Sitaraman, Joel Wein, Duke Hong, Robert Kleinberg, Brian Mancuso, David Shaw, Daniel Stodolsky:
A transport layer for live streaming in a content delivery network. Proc. IEEE 92(9): 1408-1419 (2004) - 2003
- [c23]Aditya Akella, Bruce M. Maggs, Srinivasan Seshan, Anees Shaikh, Ramesh K. Sitaraman:
A measurement-based analysis of multihoming. SIGCOMM 2003: 353-364 - [c22]Konstantin Andreev, Bruce M. Maggs, Adam Meyerson, Ramesh K. Sitaraman:
Designing overlay multicast networks for streaming. SPAA 2003: 149-158 - 2002
- [j16]John Dilley, Bruce M. Maggs, Jay Parikh, Harald Prokop, Ramesh K. Sitaraman, William E. Weihl:
Globally Distributed Content Delivery. IEEE Internet Comput. 6(5): 50-58 (2002) - [j15]Vijaya Ramachandran, Ramesh K. Sitaraman:
SPAA 1999 - Guest Editors' Foreword. Theory Comput. Syst. 35(2): 97 (2002) - [j14]Micah Adler, Arnold L. Rosenberg, Ramesh K. Sitaraman, Walter Unger:
Scheduling Time-Constrained Communication in Linear Networks. Theory Comput. Syst. 35(6): 599-623 (2002) - 2001
- [j13]Richard Cole, Bruce M. Maggs, Ramesh K. Sitaraman:
On the Benefit of Supporting Virtual Channels in Wormhole Routers. J. Comput. Syst. Sci. 62(1): 152-177 (2001) - [j12]William Aiello, Sandeep N. Bhatt, Fan R. K. Chung, Arnold L. Rosenberg, Ramesh K. Sitaraman:
Augmented Ring Networks. IEEE Trans. Parallel Distributed Syst. 12(6): 598-609 (2001) - [c21]Micah Adler, Tian Bu, Ramesh K. Sitaraman, Donald F. Towsley:
Tree Layout for Internal Network Characterizations in Multicast Networks. Networked Group Communication 2001: 189-204 - 2000
- [j11]Maurício Marengoni, Bruce A. Draper, Allen R. Hanson, Ramesh K. Sitaraman:
A system to place observers on a polyhedral terrain in polynomial time. Image Vis. Comput. 18(10): 773-780 (2000)
1990 – 1999
- 1999
- [j10]Bruce M. Maggs, Ramesh K. Sitaraman:
Simple Algorithms for Routing on Butterfly Networks with Bounded Queues. SIAM J. Comput. 28(3): 984-1003 (1999) - [j9]Lixin Gao, Arnold L. Rosenberg, Ramesh K. Sitaraman:
Optimal Clustering of Tree-Sweep Computations for High-Latency Parallel Environments. IEEE Trans. Parallel Distributed Syst. 10(8): 813-824 (1999) - [c20]William Aiello, Sandeep N. Bhatt, Fan R. K. Chung, Arnold L. Rosenberg, Ramesh K. Sitaraman:
Augmented Ring Networks. SIROCCO 1999: 1-16 - [c19]Suprakash Datta, Ramesh K. Sitaraman:
Convergence and Concentration Results for packets Routing Networks. SIROCCO 1999: 78-92 - 1998
- [j8]Frank Thomson Leighton, Bruce M. Maggs, Ramesh K. Sitaraman:
On the Fault Tolerance of Some Popular Bounded-Degree Networks. SIAM J. Comput. 27(5): 1303-1333 (1998) - [c18]Claudson F. Bornstein, Ami Litman, Bruce M. Maggs, Ramesh K. Sitaraman, Tal Yatzkar:
On the Bisection Width and Expansion of Butterfly Networks. IPPS/SPDP 1998: 144-150 - [c17]Richard Cole, Alan M. Frieze, Bruce M. Maggs, Michael Mitzenmacher, Andréa W. Richa, Ramesh K. Sitaraman, Eli Upfal:
On Balls and Bins with Deletions. RANDOM 1998: 145-158 - [c16]Micah Adler, Ramesh K. Sitaraman, Arnold L. Rosenberg, Walter Unger:
Scheduling Time-Constrained Communication in Linear Networks. SPAA 1998: 269-278 - [c15]Richard Cole, Bruce M. Maggs, Friedhelm Meyer auf der Heide, Michael Mitzenmacher, Andréa W. Richa, Klaus Schröder, Ramesh K. Sitaraman, Berthold Vöcking:
Randomized Protocols for Low Congestion Circuit Routing in Multistage Interconnection Networks. STOC 1998: 378-388 - 1997
- [j7]Richard J. Cole, Bruce M. Maggs, Ramesh K. Sitaraman:
Reconfiguring Arrays with Faults Part I: Worst-Case Faults. SIAM J. Comput. 26(6): 1581-1611 (1997) - [j6]Arnold L. Rosenberg, Vittorio Scarano, Ramesh K. Sitaraman:
The Reconfigurable Ring of Processors: Fine-Grain Tree-Structured Computations. IEEE Trans. Computers 46(10): 1119-1131 (1997) - [c14]Suprakash Datta, Ramesh K. Sitaraman:
The Performance of Simple Routing Algorithms That Drop Packets. SPAA 1997: 159-169 - 1996
- [j5]Christopher Rose, Ramesh K. Sitaraman:
Editorial: Mobility Management. Mob. Networks Appl. 1(1): 1-2 (1996) - [c13]Richard Cole, Bruce M. Maggs, Ramesh K. Sitaraman:
On the Benefit of Supporting Virtual Channels in Wormhole Routers. SPAA 1996: 131-141 - [c12]Lixin Gao, Arnold L. Rosenberg, Ramesh K. Sitaraman:
On Trading Task Reallocation for Thread Management in Partitionable Multiprocessors. SPAA 1996: 309-317 - [c11]Maurício Marengoni, Bruce A. Draper, Allen R. Hanson, Ramesh K. Sitaraman:
Placing observers to cover a polyhedral terrain in polynomial time. WACV 1996: 77-82 - 1995
- [j4]Arnold L. Rosenberg, Vittorio Scarano, Ramesh K. Sitaraman:
The Reconfigurable Ring of Processors: Efficient Algorithms via Hypercube Simulation. Parallel Process. Lett. 5: 37-48 (1995) - [c10]Richard Cole, Bruce M. Maggs, Ramesh K. Sitaraman:
Routing on Butterfly Networks with Random Faults. FOCS 1995: 558-570 - [c9]Jefferson A. Coelho Jr., Ramesh K. Sitaraman, Roderic A. Grupen:
Parallel Optimization of Motion Controllers via Policy Iteration. NIPS 1995: 996-1002 - [c8]Lixin Gao, Arnold L. Rosenberg, Ramesh K. Sitaraman:
Optimal architecture-independent scheduling of fine-grain tree-sweep computations. SPDP 1995: 620-629 - 1994
- [c7]Arnold L. Rosenberg, Vittorio Scarano, Ramesh K. Sitaraman:
The reconfigurable ring of processors: fine-grained tree-structured computations. SPDP 1994: 470-477 - 1993
- [j3]Ramesh K. Sitaraman, Niraj K. Jha:
Optimal Design of Checks for Error Detection and Location in Fault-Tolerant Multiprocessor Systems. IEEE Trans. Computers 42(7): 780-793 (1993) - [c6]Richard Cole, Bruce M. Maggs, Ramesh K. Sitaraman:
Multi-scale self-simulation: a technique for reconfiguring arrays with faults. STOC 1993: 561-572 - 1992
- [j2]William I. Gasarch, Ramesh K. Sitaraman, Carl H. Smith, Mahendran Velauthapillai:
Learning programs with an easy to calculate set of errors. Fundam. Informaticae 16(3-4): 355-370 (1992) - [c5]Frank Thomson Leighton, Bruce M. Maggs, Ramesh K. Sitaraman:
On the Fault Tolerance of Some Popular Bounded-Degree Networks. FOCS 1992: 542-552 - [c4]Bruce M. Maggs, Ramesh K. Sitaraman:
Simple Algorithms for Routing on Butterfly Networks with Bounded Queues (Extended Abstract). STOC 1992: 150-161 - 1991
- [c3]Ramesh K. Sitaraman, Niraj K. Jha:
Optimal Design of Checks for Error Detection and Location in Fault Tolerant Multiprocessors Systems. Fault-Tolerant Computing Systems 1991: 396-406
1980 – 1989
- 1989
- [j1]Ramesh K. Sitaraman, Azriel Rosenfeld:
Probabilistic analysis of two stage matching. Pattern Recognit. 22(3): 331-343 (1989) - [c2]William I. Gasarch, Ramesh K. Sitaraman, Carl H. Smith, Mahendran Velauthapillai:
Learning Programs With an Easy to Calculate Set of Errors. AII 1989: 124-137 - 1988
- [c1]William I. Gasarch, Ramesh K. Sitaraman, Carl H. Smith, Mahendran Velauthapillai:
Learning Programs with an Easy to Calculate Set of Errors. COLT 1988: 242-250
Coauthor Index
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