Konstantinos Karanasos

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 41

Top Venues

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez
Optimizing Data Pipelines for Machine Learning in Feature Stores. Proc. VLDB Endow. 16 (13) (2023)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs. Proc. VLDB Endow. 16 (12) (2023)
Pedro Pedreira, Orri Erling, Konstantinos Karanasos, Scott Schneider, Wes McKinney, Satyanarayana R. Valluri, Mohamed Zaït, Jacques Nadeau
The Composable Data Management System Manifesto. Proc. VLDB Endow. 16 (10) (2023)
Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. SIGMOD Conference Companion (2023)
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
End-to-end Optimization of Machine Learning Prediction Queries. CoRR (2022)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs. CoRR (2022)
Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan
Stitcher: Learned Workload Synthesis from Historical Performance Footprints. EDBT (2022)
Karla Saur, Tara Mirmira, Konstantinos Karanasos, Jesús Camacho-Rodríguez
Containerized Execution of UDFs: An Experimental Evaluation. Proc. VLDB Endow. 15 (11) (2022)
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
End-to-end Optimization of Machine Learning Prediction Queries. SIGMOD Conference (2022)
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
Query Processing on Tensor Computation Runtimes. CoRR (2022)
Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
Query Processing on Tensor Computation Runtimes. Proc. VLDB Endow. 15 (11) (2022)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 51 (2) (2022)
Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi
Tensors: An abstraction for general data processing. Proc. VLDB Endow. 14 (10) (2021)
Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino
KEA: Tuning an Exabyte-Scale Data Infrastructure. CoRR (2021)
Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino
KEA: Tuning an Exabyte-Scale Data Infrastructure. SIGMOD Conference (2021)
Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun
Kaskade: Graph Views for Efficient Graph Analytics. ICDE (2020)
Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi
A Tensor Compiler for Unified Machine Learning Prediction Serving. CoRR (2020)
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR (2020)
Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
Extending Relational Query Processing with ML Inference. CIDR (2020)
Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi
A Tensor Compiler for Unified Machine Learning Prediction Serving. OSDI (2020)
Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger
Unearthing inter-job dependencies for better cluster scheduling. OSDI (2020)
Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Sriram Rao, Giovanni Matteo Fumarola, Botong Huang, Kishore Chaliparambil, Arun Suresh, Young Chen, Solom Heddaya, Roni Burd, Sarvesh Sakalanaga, Chris Douglas, Bill Ramsey, Raghu Ramakrishnan
Hydra: a federated resource manager for data-center scale analytics. NSDI (2019)
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR (2019)
Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos
Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems. CoRR (2019)
Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. CoRR (2019)
Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun
Kaskade: Graph Views for Efficient Graph Analytics. CoRR (2019)
Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC (2019)
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
Extending Relational Query Processing with ML Inference. CoRR (2019)
Konstantinos Karanasos, Peter R. Pietzuch, Panagiotis Garefalakis
Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications. SoCC (2019)
Andrew Chung, Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Panagiotis Garefalakis, Gregory R. Ganger
Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters. SIGMOD Conference (2019)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
Data Science through the looking glass and what we found there. CoRR (2019)
Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch
Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications. SoCC (2019)
Konstantinos Karanasos, Yiwen Zhu, Abhiram Eswaran, Liqun Shao, Janhavi Suresh Mahajan, Subru Krishnan, Sudhir Darbha, Minsoo Thigpen, Kristin Lieber, Soundar Srinivasan, Siqi Liu, Carlo Curino
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC (2019)
Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch, Arun Suresh, Sriram Rao
Medea: scheduling of long running applications in shared production clusters. EuroSys (2018)
Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel
Selecting Subexpressions to Materialize at Datacenter Scale. Proc. VLDB Endow. 11 (7) (2018)
Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc T. Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao
Computation Reuse in Analytics Job Service at Microsoft. SIGMOD Conference (2018)
Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos
Query and Resource Optimization: Bridging the Gap. ICDE (2018)
Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
Efficient queue management for cluster scheduling. EuroSys (2016)
Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Konstantinos Karanasos, Jitendra Padhye, George Varghese
WANalytics: Geo-Distributed Analytics for a Data Intensive World. SIGMOD Conference (2015)
Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Matteo Fumarola, Solom Heddaya, Raghu Ramakrishnan, Sarvesh Sakalanaga
Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters. USENIX Annual Technical Conference (2015)
Ashish Vulimiri, Carlo Curino, Brighten Godfrey, Konstantinos Karanasos, George Varghese
WANalytics: Analytics for a Geo-Distributed Data-Intensive World. CIDR (2015)
Konstantinos Karanasos, Andrey Balmin, Marcel Kutsch, Fatma Ozcan, Vuk Ercegovac, Chunyang Xia, Jesse Jackson
Dynamically optimizing queries over large scale data platforms. SIGMOD Conference (2014)
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis
Fact checking and analyzing the web. SIGMOD Conference (2013)
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis
Growing triples on trees: an XML-RDF hybrid model for annotated documents. VLDB J. 22 (5) (2013)
Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu
Delta: Scalable Data Dissemination under Capacity Constraints. Proc. VLDB Endow. 7 (4) (2013)
Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos
ViP2P: Efficient XML Management in DHT Networks. ICWE (2012)
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis
Des triplets sur des arbres. Un modèle hybride XML-RDF pour documents annotés. Ingénierie des Systèmes d Inf. 17 (5) (2012)
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis
Growing Triples on Trees: an XML-RDF Hybrid Model for Annotated Documents. VLDS (2011)
Ioana Manolescu, Konstantinos Karanasos, Vasilis Vassalos, Spyros Zoupanos
Efficient XQuery rewriting using multiple views. ICDE (2011)
Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos
The ViP2P Platform: XML Views in P2P CoRR (2011)
François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu
View Selection in Semantic Web Databases. Proc. VLDB Endow. 5 (2) (2011)
François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu
View Selection in Semantic Web Databases CoRR (2011)
François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu
RDFViewS: A Storage Tuning Wizard for RDF Applications CoRR (2010)
Konstantinos Karanasos, Spyros Zoupanos
Viewing a world of annotations through AnnoVIP. ICDE (2010)
François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu
RDFViewS: a storage tuning wizard for RDF applications. CIKM (2010)
Stefan Manegold, Ioana Manolescu, Loredana Afanasiev, Jianlin Feng, Gang Gou, Marios Hadjieleftheriou, Stavros Harizopoulos, Panos Kalnis, Konstantinos Karanasos, Dominique Laurent, Mihai Lupu, Nicola Onose, Christopher Ré, Virginie Sans, Pierre Senellart, Tina Wu, Dennis E. Shasha
Repeatability & workability evaluation of SIGMOD 2009. SIGMOD Rec. 38 (3) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Konstantinos Karanasos