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ORCIDKonstantinos Karanasos
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2020 – today
- 2023
[j13]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): 2679-2685 (2023)- [j12]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): 3662-3675 (2023) - [j11]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): 4230-4239 (2023) - [c27]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 2023: 417-423 - [c26]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: 123-126 - 2022
- [j10]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): 2811-2825 (2022) - [j9]Karla Saur, Tara Mirmira, Konstantinos Karanasos, Jesús Camacho-Rodríguez:
Containerized Execution of UDFs: An Experimental Evaluation. Proc. VLDB Endow. 15(11): 3158-3171 (2022) - [j8]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): 30-37 (2022) - [c25]Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos:
End-to-end Optimization of Machine Learning Prediction Queries. SIGMOD Conference 2022: 587-601 - [i14]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 abs/2203.01877 (2022) - [i13]Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos:
End-to-end Optimization of Machine Learning Prediction Queries. CoRR abs/2206.00136 (2022) - [i12]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 abs/2210.14047 (2022) - 2021
- [j7]Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi:
Tensors: An abstraction for general data processing. Proc. VLDB Endow. 14(10): 1797-1804 (2021) - [c24]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: 2667-2680 - [i11]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 abs/2106.11445 (2021) - 2020
- [c23]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 - [c22]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 - [c21]Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun:
Kaskade: Graph Views for Efficient Graph Analytics. ICDE 2020: 193-204 - [c20]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: 899-917 - [c19]Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger:
Unearthing inter-job dependencies for better cluster scheduling. OSDI 2020: 1205-1223 - [i10]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 abs/2010.04804 (2020)
2010 – 2019
- 2019
- [c18]Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch:
Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications. SoCC 2019: 233-245 - [c17]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: 441-452 - [c16]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: 177-192 - [c15]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: 1889-1892 - [r1]Konstantinos Karanasos, Arun Suresh, Chris Douglas:
Advancements in YARN Resource Manager. Encyclopedia of Big Data Technologies 2019 - [i9]Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun:
Kaskade: Graph Views for Efficient Graph Analytics. CoRR abs/1906.05162 (2019) - [i8]Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos:
Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems. CoRR abs/1906.06590 (2019) - [i7]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 abs/1908.09048 (2019) - [i6]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 abs/1909.00084 (2019) - [i5]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 abs/1911.00231 (2019) - [i4]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 abs/1912.09536 (2019) - 2018
- [j6]Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel:
Selecting Subexpressions to Materialize at Datacenter Scale. Proc. VLDB Endow. 11(7): 800-812 (2018) - [c14]Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch, Arun Suresh, Sriram Rao:
Medea: scheduling of long running applications in shared production clusters. EuroSys 2018: 4:1-4:13 - [c13]Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos:
Query and Resource Optimization: Bridging the Gap. ICDE 2018: 1384-1387 - [c12]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: 191-203 - 2016
- [c11]Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao:
Efficient queue management for cluster scheduling. EuroSys 2016: 36:1-36:15 - 2015
- [c10]Ashish Vulimiri, Carlo Curino, Brighten Godfrey, Konstantinos Karanasos, George Varghese:
WANalytics: Analytics for a Geo-Distributed Data-Intensive World. CIDR 2015 - [c9]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: 1087-1092 - [c8]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 ATC 2015: 485-497 - 2014
- [c7]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: 943-954 - 2013
- [j5]Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu:
Delta: Scalable Data Dissemination under Capacity Constraints. Proc. VLDB Endow. 7(4): 217-228 (2013) - [j4]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): 589-613 (2013) - [c6]François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis:
Fact checking and analyzing the web. SIGMOD Conference 2013: 997-1000 - 2012
- [b1]Konstantinos Karanasos:
View-Based techniques for the efficient management of web data. (Techniques fondées sur des vues matérialisées pour la gestion efficace des données du web). University of Paris-Sud, Orsay, France, 2012 - [j3]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): 87-111 (2012) - [c5]Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos:
ViP2P: Efficient XML Management in DHT Networks. ICWE 2012: 386-394 - 2011
- [j2]François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu:
View Selection in Semantic Web Databases. Proc. VLDB Endow. 5(2): 97-108 (2011) - [c4]Ioana Manolescu, Konstantinos Karanasos, Vasilis Vassalos, Spyros Zoupanos:
Efficient XQuery rewriting using multiple views. ICDE 2011: 972-983 - [c3]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: 30-33 - [i3]François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu:
View Selection in Semantic Web Databases. CoRR abs/1110.6648 (2011) - [i2]Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos:
The ViP2P Platform: XML Views in P2P. CoRR abs/1112.2610 (2011) - 2010
- [c2]François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu:
RDFViewS: a storage tuning wizard for RDF applications. CIKM 2010: 1947-1948 - [c1]Konstantinos Karanasos, Spyros Zoupanos:
Viewing a world of annotations through AnnoVIP. ICDE 2010: 1133-1136 - [i1]François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu:
RDFViewS: A Storage Tuning Wizard for RDF Applications. CoRR abs/1008.2186 (2010)
2000 – 2009
- 2009
- [j1]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): 40-43 (2009)
Coauthor Index
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