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ORCIDLakshmish Ramaswamy
Lakshmish Macheeri Ramaswamy
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- affiliation: University of Georgia, Athens, USA
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2020 – today
- 2025
[c100]Ghadeer I. Yassin, Lakshmish Macheeri Ramaswamy:
CDAC: Content-Driven Access Control Architecture for Smart Farms. ICISSP (1) 2025: 83-94- 2024
- [c99]Yousef AlShehri, Lakshmish Ramaswamy:
An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications. DCOSS-IoT 2024: 224-228 - [c98]Mohammad Al-Saad, Lakshmish Ramaswamy, Suchendra M. Bhandarkar:
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-Level Representation Learning. ICAART (3) 2024: 1002-1013 - [c97]Jumana Alsubhi, Abdulrahman Ahmed Gharawi, Lakshmish Ramaswamy:
Cost-Aware TrE-ND: Tri-embed Noise Detection for Enhancing Data Quality of Knowledge Graph. ICAART (3) 2024: 1020-1027 - [c96]Devjyoti Chakraborty, Kriti Ghosh, Zaki Sukma, In Kee Kim, Lakshmish Ramaswamy, Suchendra M. Bhandarkar, Deepak R. Mishra:
An Empirical Evaluation of the Impact of Solar Correction in NeRFs for Satellite Imagery. ICPR (18) 2024: 161-179 - [c95]Mohammad Al-Saad, Lakshmish Ramaswamy, Suchendra M. Bhandarkar:
JS-Siamese: Generalized Zero Shot Learning for IMU-based Human Activity Recognition. ICPR (15) 2024: 407-424 - [c94]Yousef AlShehri, Lakshmish Ramaswamy:
CroMA: Enhancing Fault-Resilience of Machine Learning-Coupled IoT Applications. SEC 2024: 59-70 - [i7]Mohammad Al-Saad, Lakshmish Ramaswamy, Suchendra M. Bhandarkar:
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning. CoRR abs/2401.08609 (2024) - [i6]Yousef AlShehri, Lakshmish Ramaswamy:
An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications. CoRR abs/2403.10371 (2024) - 2023
- [j19]Jianwei Hao
, Piyush Subedi, Lakshmish Ramaswamy, In Kee Kim:
Reaching for the Sky: Maximizing Deep Learning Inference Throughput on Edge Devices with AI Multi-Tenancy. ACM Trans. Internet Techn. 23(1): 2:1-2:33 (2023) - [c93]Samiyuru Menik, Lakshmish Ramaswamy:
Modular Deep Learning for Big Data: Motivation, Challenges, and Approaches. IEEE Big Data 2023: 5299-5304 - [c92]Jianwei Hao, Rajneesh Sharma, Mary B. Fleming, In Kee Kim, Deepak R. Mishra, S. Sonny Kim, Lori A. Sutter, Lakshmish Ramaswamy:
Toward Low-Cost and Sustainable IoT Systems for Soil Monitoring in Coastal Wetlands. CIC 2023: 52-61 - [c91]Hemadri Jayalath, Ghadeer I. Yassin, Lakshmish Ramaswamy, Sheng Li:
Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback. ICAART (3) 2023: 285-292 - [c90]Abdulrahman Ahmed Gharawi, Jumana Alsubhi, Lakshmish Ramaswamy:
Cost-Aware Ensemble Learning Approach for Overcoming Noise in Labeled Data. ICAART (3) 2023: 381-388 - [c89]Jianwei Hao, Emmanuel Oni, In Kee Kim, Lakshmish Ramaswamy:
DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors. IPCCC 2023: 365-374 - [c88]Ghadeer I. Yassin, Lakshmish Ramaswamy:
Harvesting Security: A Semantically Enriched Access Control Architecture for Smart Farms. TPS-ISA 2023: 335-343 - [i5]Samiyuru Menik, Lakshmish Ramaswamy:
Towards Modular Machine Learning Solution Development: Benefits and Trade-offs. CoRR abs/2301.09753 (2023) - 2022
- [c87]Ghadeer I. Yassin, Lakshmish Ramaswamy:
Effective & Efficient Access Control in Smart Farms: Opportunities, Challenges & Potential Approaches. ICISSP 2022: 445-452 - [c86]Yousef AlShehri, Lakshmish Ramaswamy:
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems. ICMLA 2022: 743-747 - [c85]Ola Mustafa Alqahtani, Lakshmish Macheeri Ramaswamy:
A Layer Decomposition Approach to Inference Time Prediction of Deep Learning Architectures. ICMLA 2022: 855-859 - [c84]Abdulrahman Ahmed Gharawi, Jumana Alsubhi, Lakshmish Ramaswamy:
Impact of Labeling Noise on Machine Learning: A Cost-aware Empirical Study. ICMLA 2022: 936-939 - [c83]Hemadri Jayalath, Lakshmish Ramaswamy:
Enhancing Performance of Operationalized Machine Learning Models by Analyzing User Feedback. IVSP 2022: 197-203 - [i4]Yousef AlShehri, Lakshmish Ramaswamy:
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems. CoRR abs/2210.02144 (2022) - 2021
- [c82]Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy:
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices. CLOUD 2021: 31-42 - [c81]Mohammad Al-Saad, Madeleine Lucas, Lakshmish Ramaswamy:
Privacy Vulnerabilities of Wearable Activity Monitors: Threat and Potential Defence. CIC 2021: 105-116 - [c80]Jianwei Hao, Piyush Subedi, In Kee Kim, Lakshmish Ramaswamy:
Characterizing Resource Heterogeneity in Edge Devices for Deep Learning Inferences. SNTA@HPDC 2021: 21-24 - [c79]Samiyuru Menik, Lakshmish Ramaswamy:
Towards a Robust Knowledge Graph-Enabled Machine Learning Service Description Framework. ICSC 2021: 104-107 - [i3]Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy:
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices. CoRR abs/2107.12486 (2021) - 2020
- [j18]Yanzhe Yin, Navid Hashemi Tonekaboni, Andrew Grundstein, Deepak R. Mishra, Lakshmish Ramaswamy, John Dowd:
Urban ambient air temperature estimation using hyperlocal data from smart vehicle-borne sensors. Comput. Environ. Urban Syst. 84: 101538 (2020) - [c78]Omar Alobaid, Lakshmish Ramaswamy:
A Feature-based Approach for Identifying Soccer Moves using an Accelerometer Sensor. HEALTHINF 2020: 34-44 - [c77]Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Omid Setayeshfar, Sorush Omidvar:
Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection. ICIOT 2020: 108-124 - [i2]Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Sorush Omidvar:
Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection. CoRR abs/2002.08886 (2020)
2010 – 2019
- 2019
- [j17]Lihua Ai, Lakshmish Ramaswamy, Siwei Luo:
Impact Vertices-Aware Diffusion Walk Algorithm for Efficient Subgraph Pattern Matching in Massive Graphs. IEEE Access 7: 44555-44561 (2019) - [c76]Lei Xian, Samuel Dakota Vickers, Amanda L. Giordano, Jaewoo Lee, In Kee Kim, Lakshmish Ramaswamy:
#selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury. CogMI 2019: 61-70 - [c75]Richard Price, Lakshmish Ramaswamy:
Challenges and Approaches to Teaching Data Science Technologies in an Information Technology Program with Non-Traditional Students. CIC 2019: 49-56 - [c74]Neda Abolhassani, Lakshmish Ramaswamy:
Extracting Topics from Semi-structured Data for Enhancing Enterprise Knowledge Graphs. CollaborateCom 2019: 101-117 - [c73]Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Sakshi Sachdev:
A Mobile and Web-Based Approach for Targeted and Proactive Participatory Sensing. CollaborateCom 2019: 215-230 - 2018
- [c72]Delaram Yazdansepas, Nitin Saroha, Lakshmish Ramaswamy, Khaled Rasheed:
Towards Efficient and Real-Time Human Activity Recognition Using Wearable Sensors: A Shapelet-Based Pattern Matching Approach. BODYNETS 2018: 115-130 - [c71]Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Andrew Grundstein, Sujeet Kulkarni, Yanzhe Yin:
SCOUTS: A Smart Community Centric Urban Heat Monitoring Framework. ARIC@SIGSPATIAL 2018: 27-30 - [c70]Deepak Mishra, Lakshmish Ramaswamy, Abhishek Kumar, Suchendra M. Bhandarkar, Vinay Kumar, Sunil Narumalani:
A Multi-Cloud Cyber Infrastructure for Monitoring Global Proliferation of Cyanobacterial Harmful Algal Blooms. IGARSS 2018: 9272-9275 - [c69]Richard Price, Lakshmish Ramaswamy, Seyedamin Pouriyeh:
Efficient Processing of Range Queries over Distributed Relational Databases. IRI 2018: 331-337 - [c68]Neda Abolhassani, Colin Puri, Sonali Parthasarathy, Zhijie Wang, Matthew Kujawinski, Teresa Tung, Lakshmish Ramaswamy:
Universal Metadata Repository: Integrating Data Profiles Across an Organization. IRI 2018: 452-459 - [c67]Navid Hashemi Tonekaboni, Sujeet Kulkarni, Lakshmish Ramaswamy:
Edge-Based Anomalous Sensor Placement Detection for Participatory Sensing of Urban Heat Islands. ISC2 2018: 1-8 - 2017
- [c66]Vinay Boddula, Lakshmish Ramaswamy, Deepak Mishra:
A Spatio-Temporal Mining Approach for Enhancing Satellite Data Availability: A Case Study on Blue Green Algae. BigData Congress 2017: 216-223 - [c65]Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition. HEALTHINF 2017: 319-325 - [c64]Muhammad Usman Nisar, Sahar Voghoei, Lakshmish Ramaswamy:
Caching for Pattern Matching Queries in Time Evolving Graphs: Challenges and Approaches. ICDCS 2017: 2352-2357 - [c63]Vinay Boddula, Lakshmish Ramaswamy, Deepak Mishra:
CyanoSense: A Wireless Remote Sensor System Using Raspberry-Pi and Arduino with Application to Algal Bloom. AIMS@SERVICES 2017: 85-88 - [i1]Shashi Shekhar, Joe Colletti, Francisco Muñoz-Arriola, Lakshmish Ramaswamy, Chandra Krintz, Lav R. Varshney, Debra J. Richardson:
Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. CoRR abs/1705.01993 (2017) - 2016
- [c62]Vinay Boddula, Lakshmish Ramaswamy, Reshma Pasumarthi, Deepak Mishra:
Data Driven Analysis of Algal Bloom Activity for Effective Water Sustainability. BDCloud-SocialCom-SustainCom 2016: 424-430 - [c61]Amirreza Abdolrashidi, Lakshmish Ramaswamy:
Continual and Cost-Effective Partitioning of Dynamic Graphs for Optimizing Big Graph Processing Systems. BigData Congress 2016: 18-25 - [c60]Michael D. Scott, Lakshmish Ramaswamy, Victor Lawson:
CyanoTRACKER: A Citizen Science Project for Reporting Harmful Algal Blooms. CIC 2016: 391-397 - [c59]Neda Abolhassani, Teresa Tung, Karthik Gomadam, Lakshmish Ramaswamy:
Knowledge Graph-Based Query Rewriting in a Relational Data Harmonization Framework. CIC 2016: 433-438 - [c58]Victor J. Lawson, Lakshmish Ramaswamy:
TAU-FIVE: A Multi-tiered Architecture for Data Quality and Energy-Sustainability in Sensor Networks. DCOSS 2016: 169-176 - [c57]Delaram Yazdansepas, Anzah H. Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition. ICHI 2016: 423-431 - [c56]Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
A Hierarchical Meta-Classifier for Human Activity Recognition. ICMLA 2016: 81-86 - 2015
- [j16]Amir Abdolrashidi, Lakshmish Ramaswamy:
An Analytical Study of Computation and Communication Tradeoffs in Distributed Graph. EAI Endorsed Trans. Collab. Comput. 1(5): e5 (2015) - [c55]Phani Rohit Mullangi, Lakshmish Ramaswamy:
CoUPE: Continuous Query Processing Engine for Evolving Graphs. BigData Congress 2015: 142-149 - [c54]Victor Lawson, Lakshmish Ramaswamy:
Data Quality and Energy Management Tradeoffs in Sensor Service Clouds. BigData Congress 2015: 749-752 - [c53]John A. Miller, Lakshmish Ramaswamy, Krys J. Kochut, Arash Fard:
Research Directions for Big Data Graph Analytics. BigData Congress 2015: 785-794 - [c52]Amirreza Abdolrashidi, Lakshmish Ramaswamy:
Incremental Partitioning of Large Time-Evolving Graphs. CIC 2015: 19-27 - [c51]Vinay Boddula, Awani Joshi, Lakshmish Ramaswamy, Deepak Mishra:
Harnessing Social Media for Environmental Sustainability: A Measurement Study on Harmful Algal Blooms. CIC 2015: 176-183 - [c50]Michael D. Scott, Lakshmish Ramaswamy, Sarabpreet Kaur Dhillon:
A rule-engine-based approach to a personalized OTC drug safety framework. HealthCom 2015: 350-353 - [c49]Victor Lawson, Richard T. Watson, Lakshmish Ramaswamy:
C-SenZ-IS: A Customizable Sensor IS Model for Energy Efficient SaaS. HICSS 2015: 3414-3423 - [c48]Victor Lawson, Vinay Kumar, Lakshmish Ramaswamy:
Mobile Cloud Enabled Sensor Services: Opportunities, Challenges and Approaches. IEEE MS 2015: 292-297 - 2014
- [j15]Lakshmish Ramaswamy, Barbara Carminati, Lujo Bauer, Dongwan Shin, James Joshi, Calton Pu, Dimitris Gritzalis:
Editorial. Comput. Secur. 41: 1-2 (2014) - [j14]Lakshmish Ramaswamy, Raga Sowmya Tummalapenta, Deepika Sethi, Kang Li, Calton Pu:
Harnessing Context for Vandalism Detection in Wikipedia. EAI Endorsed Trans. Collab. Comput. 1(1): e7 (2014) - [j13]Osama Mohammad Al-Haj Hassan, Lakshmish Ramaswamy, Fadi Hamad, Anas Abu Taleb:
Cooperative distributed architecture for mashups. Enterp. Inf. Syst. 8(3): 406-444 (2014) - [j12]Barbara Carminati, Lakshmish Ramaswamy, Anna Cinzia Squicciarini, James Joshi, Calton Pu:
Preface. Int. J. Cooperative Inf. Syst. 23(2) (2014) - [j11]Suchendra M. Bhandarkar, Lakshmish Ramaswamy, Hari Devulapally:
Collaborative caching for efficient dissemination of personalized video streams in resource constrained environments. Multim. Syst. 20(1): 1-23 (2014) - [j10]Lakshmish Ramaswamy, Barbara Carminati, James B. D. Joshi, Calton Pu:
Editorial: Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2012). Mob. Networks Appl. 19(5): 634 (2014) - [c47]Matthew Saltz, Ayushi Jain, Abhishek Kothari, Arash Fard, John A. Miller, Lakshmish Ramaswamy:
DualIso: An Algorithm for Subgraph Pattern Matching on Very Large Labeled Graphs. BigData Congress 2014: 498-505 - [c46]Phani Rohit Mullangi, Gowtham Penematsa, Lakshmish Ramaswamy:
Scalable XPath Evaluation on Large-Scale Continuously Evolving XML Repositories. BigData Congress 2014: 546-553 - [c45]Arash Fard, Satya Manda, Lakshmish Ramaswamy, John A. Miller:
Effective caching techniques for accelerating pattern matching queries. IEEE BigData 2014: 491-499 - [c44]Amir Abdolrashidi, Lakshmish Ramaswamy, David S. Narron:
Performance modeling of computation and communication tradeoffs in vertex-centric graph processing clusters. CollaborateCom 2014: 55-63 - [c43]Abhishek Kothari, Vinay Boddula, Lakshmish Ramaswamy, Neda Abolhassani:
DQS-Cloud: A Data Quality-Aware autonomic cloud for sensor services. CollaborateCom 2014: 295-303 - [c42]Lakshmish Ramaswamy, Michael D. Scott, Sarabpreet Kaur Dhillon:
Towards a Mobile Cloud-Enabled Personalized and Context-Aware Drug Safety Advisory Framework for Mitigating Pharmaceutical Accidents. ICHI 2014: 220-225 - 2013
- [c41]Lakshmish Ramaswamy, Victor Lawson, Siva Venkat Gogineni:
Towards a Quality-centric Big Data Architecture for Federated Sensor Services. BigData Congress 2013: 86-93 - [c40]Arash Fard, M. Usman Nisar, Lakshmish Ramaswamy, John A. Miller, Matthew Saltz:
A distributed vertex-centric approach for pattern matching in massive graphs. IEEE BigData 2013: 403-411 - [c39]Phani Rohit Mullangi, Lakshmish Ramaswamy:
SCISSOR: scalable and efficient reachability query processing in time-evolving hierarchies. CIKM 2013: 799-804 - [c38]Lakshmish Ramaswamy, Raga Sowmya Tummalapenta, Kang Li, Calton Pu:
A content-context-centric approach for detecting vandalism in Wikipedia. CollaborateCom 2013: 115-122 - [c37]Akshay Choche, Lakshmish Ramaswamy:
Towards Personalized Search for Tweets. OTM Workshops 2013: 722-725 - 2012
- [c36]Barbara Carminati, Lakshmish Ramaswamy, Calton Pu, James Joshi:
Preface. CollaborateCom 2012 - [c35]Arash Fard, Amir Abdolrashidi, Lakshmish Ramaswamy, John A. Miller:
Towards efficient query processing on massive time-evolving graphs. CollaborateCom 2012: 567-574 - [c34]Phani Rohit Mullangi, Lakshmish Ramaswamy, Raga Sowmya Tummalapenta:
DATEM: Towards QoS Aware Event Notification Framework for Delay Tolerant Networks. MDM 2012: 43-51 - [c33]Jianxia Chen, Lakshmish Ramaswamy, David K. Lowenthal, Shivkumar Kalyanaraman:
Comet: Decentralized Complex Event Detection in Mobile Delay Tolerant Networks. MDM 2012: 131-136 - [c32]Suchendra M. Bhandarkar, Lakshmish Ramaswamy, Hari Devulapally:
Collaborative caching for efficient dissemination of personalized video streams in resource constrained environments. MMSys 2012: 185-190 - 2011
- [j9]Yong Wei, Suchendra M. Bhandarkar, Kang Li, Lakshmish Ramaswamy:
Video personalization in heterogeneous and resource-constrained environments. Multim. Syst. 17(6): 523-543 (2011) - [j8]Lakshmish Ramaswamy, Jianxia Chen:
The CoQUOS Approach to Continuous Queries in Unstructured Overlays. IEEE Trans. Knowl. Data Eng. 23(3): 463-478 (2011) - 2010
- [j7]Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. Miller:
The MACE Approach for Caching Mashups. Int. J. Web Serv. Res. 7(4): 64-88 (2010) - [c31]Douglas Brewer, Kang Li, Lakshmish Ramaswamy, Calton Pu:
A Link Obfuscation Service to Detect Webbots. IEEE SCC 2010: 433-440 - [c30]Qinyi Wu, Danesh Irani, Calton Pu, Lakshmish Ramaswamy:
Elusive vandalism detection in wikipedia: a text stability-based approach. CIKM 2010: 1797-1800 - [c29]Jianxia Chen, Lakshmish Ramaswamy, David K. Lowenthal, Shivkumar Kalyanaraman:
CAEVA: A customizable and adaptive event aggregation framework for collaborative broker overlays. CollaborateCom 2010: 1-9 - [c28]Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. Miller:
Enhancing Scalability and Performance of Mashups Through Merging and Operator Reordering. ICWS 2010: 171-178 - [c27]Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. Miller:
CoMaP: A Cooperative Overlay-Based Mashup Platform. OTM Conferences (1) 2010: 454-471
2000 – 2009
- 2009
- [j6]Kang Li, Zhenyu Zhong, Lakshmish Ramaswamy:
Privacy-Aware Collaborative Spam Filtering. IEEE Trans. Parallel Distributed Syst. 20(5): 725-739 (2009) - [c26]Kalapriya Kannan, Nanjangud C. Narendra, Lakshmish Ramaswamy:
Managing Configuration Complexity during Deployment and Maintenance of SOA Solutions. IEEE SCC 2009: 152-159 - [c25]Piyush Parate, Lakshmish Ramaswamy, Suchendra M. Bhandarkar, Siddhartha Chattopadhyay, Hari Devulapally:
Efficient dissemination of personalized video content in resource-constrained environments. CollaborateCom 2009: 1-9 - [c24]Jianxia Chen, Lakshmish Ramaswamy, David K. Lowenthal:
Towards efficient event aggregation in a decentralized publish-subscribe system. DEBS 2009 - [c23]Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. Miller:
MACE: A Dynamic Caching Framework for Mashups. ICWS 2009: 75-82 - [c22]Islam Elgedawy, Lakshmish Ramaswamy:
Rapid Identification Approach for Reusable SOA Assets Using Component Business Maps. ICWS 2009: 599-606 - [c21]Lakshmish Ramaswamy, P. Deepak, Ramana Polavarapu, Kutila Gunasekera, Dinesh Garg, Karthik Visweswariah, Shivkumar Kalyanaraman:
CAESAR: A Context-Aware, Social Recommender System for Low-End Mobile Devices. Mobile Data Management 2009: 338-347 - [c20]Kalapriya Kannan, Nanjangud C. Narendra, Lakshmish Ramaswamy:
Extracting Environmental Information for Improved Web Service Matching and Identification. SERVICES II 2009: 79-86 - 2008
- [j5]Jianjun Zhang, Ling Liu, Lakshmish Ramaswamy, Calton Pu:
PeerCast: Churn-resilient end system multicast on heterogeneous overlay networks. J. Netw. Comput. Appl. 31(4): 821-850 (2008) - [c19]Lakshmish Ramaswamy, Guruduth Banavar:
A Formal Model of Service Delivery. IEEE SCC (2) 2008: 517-520 - [c18]Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. Miller, Khaled Rasheed, E. Rodney Canfield:
Replication in Overlay Networks: A Multi-objective Optimization Approach. CollaborateCom 2008: 512-528 - [c17]Zhenyu Zhong, Lakshmish Ramaswamy, Kang Li:
ALPACAS: A Large-Scale Privacy-Aware Collaborative Anti-Spam System. INFOCOM 2008: 556-564 - [c16]Karthik Gomadam, Ajith Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma:
Mediatability: Estimating the Degree of Human Involvement in XML Schema Mediation. ICSC 2008: 394-401 - 2007
- [j4]Lakshmish Ramaswamy, Ling Liu, Arun Iyengar:
Scalable Delivery of Dynamic Content Using a Cooperative Edge Cache Grid. IEEE Trans. Knowl. Data Eng. 19(5): 614-630 (2007) - [c15]Osama Al-Haj Hassan, Lakshmish Ramaswamy:
Message replication in unstructured peer-to-peer network. CollaborateCom 2007: 337-344 - [c14]Karthik Gomadam, Ajith Ranabahu, Lakshmish Ramaswamy, Amit P. Sheth, Kunal Verma:
A Semantic Framework for Identifying Events in a Service Oriented Architecture. ICWS 2007: 545-552 - [c13]Lakshmish Ramaswamy, Jianxia Chen, Piyush Parate:
CoQUOS: Lightweight Support for Continuous Queries in Unstructured Overlays. IPDPS 2007: 1-10 - [c12]Jianjun Zhang, Ling Liu, Lakshmish Ramaswamy, Gong Zhang, Calton Pu:
A Utility-Aware Middleware Architecture for Decentralized Group Communication Applications. Middleware 2007: 410-428 - [c11]Siddhartha Chattopadhyay, Lakshmish Ramaswamy, Suchendra M. Bhandarkar:
A framework for encoding and caching of video for quality adaptive progressive download. ACM Multimedia 2007: 775-778 - [c10]Jianxia Chen, Lakshmish Ramaswamy, Archana Meka:
Message Diffusion in Unstructured Overlay Networks. NCA 2007: 126-133 - 2006
- [c9]Lakshmish Ramaswamy, Arun Iyengar, Jianxia Chen:
Cooperative Data Placement and Replication in Edge Cache Networks. CollaborateCom 2006 - [c8]Lakshmish Ramaswamy, Ling Liu, Jianjun Zhang:
Efficient Formation of Edge Cache Groups for Dynamic Content Delivery. ICDCS 2006: 43 - 2005
- [b1]Lakshmish Macheeri Ramaswamy:
Towards Efficient Delivery of Dynamic Web Content. Georgia Institute of Technology, Atlanta, GA, USA, 2005 - [j3]Lakshmish Ramaswamy, Arun Iyengar, Ling Liu, Fred Douglis:
Automatic Fragment Detection in Dynamic Web Pages and Its Impact on Caching. IEEE Trans. Knowl. Data Eng. 17(6): 859-874 (2005) - [j2]Lakshmish Ramaswamy, Bugra Gedik, Ling Liu:
A Distributed Approach to Node Clustering in Decentralized Peer-to-Peer Networks. IEEE Trans. Parallel Distributed Syst. 16(9): 814-829 (2005) - [c7]Lakshmish Ramaswamy, Jianxia Chen:
Efficient delivery of dynamic content: the cooperative EC grid project. CollaborateCom 2005 - [c6]Lakshmish Ramaswamy, Ling Liu, Arun Iyengar:
Cache Clouds: Cooperative Caching of Dynamic Documents in Edge Networks. ICDCS 2005: 229-238 - 2004
- [j1]Lakshmish Ramaswamy, Ling Liu:
An Expiration Age-Based Document Placement Scheme for Cooperative Web Caching. IEEE Trans. Knowl. Data Eng. 16(5): 585-600 (2004) - [c5]Lakshmish Ramaswamy, Arun Iyengar, Ling Liu, Fred Douglis:
Automatic detection of fragments in dynamically generated web pages. WWW 2004: 443-454 - 2003
- [c4]Lakshmish Ramaswamy, Arun Iyengar, Ling Liu, Fred Douglis:
Techniques for efficient fragment detection in web pages. CIKM 2003: 516-519 - [c3]Lakshmish Ramaswamy, Ling Liu:
Free Riding: A New Challenge to Peer-to-Peer File Sharing Systems. HICSS 2003: 220 - [c2]Lakshmish Ramaswamy, Bugra Gedik, Ling Liu:
Connectivity Based Node Clustering in Decentralized Peer-to-Peer Networks. Peer-to-Peer Computing 2003: 66-73 - 2002
- [c1]Lakshmish Ramaswamy, Ling Liu:
A New Document Placement Scheme for Cooperative Caching on the Internet. ICDCS 2002: 95-103
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2025-05-12 22:52 CEST by the dblp team
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