Konstantinos Karanasos

56 papers A* 6A 6B 2Misc 1Journal 27Unranked 12

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. SIGMOD Conference Companion Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
2023	J	`jnl`	OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs. Proc. VLDB Endow. Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
2023	J	`jnl`	Optimizing Data Pipelines for Machine Learning in Feature Stores. Proc. VLDB Endow. Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez
2023	B	`conf`	Stitcher: Learned Workload Synthesis from Historical Performance Footprints. EDBT Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan
2023	J	`jnl`	The Composable Data Management System Manifesto. Proc. VLDB Endow. Pedro Pedreira, Orri Erling, Konstantinos Karanasos, Scott Schneider, Wes McKinney, Satyanarayana R. Valluri, Mohamed Zaït, Jacques Nadeau
2022	J	`jnl`	Containerized Execution of UDFs: An Experimental Evaluation. Proc. VLDB Endow. Karla Saur, Tara Mirmira, Konstantinos Karanasos, Jesús Camacho-Rodríguez
2022	J	`jnl`	Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 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
2022	—	`conf`	End-to-end Optimization of Machine Learning Prediction Queries. SIGMOD Conference Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
2022	J	`jnl`	End-to-end Optimization of Machine Learning Prediction Queries. CoRR Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
2022	J	`jnl`	OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs. CoRR Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
2022	J	`jnl`	Query Processing on Tensor Computation Runtimes. CoRR Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
2022	J	`jnl`	Query Processing on Tensor Computation Runtimes. Proc. VLDB Endow. Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
2021	—	`conf`	KEA: Tuning an Exabyte-Scale Data Infrastructure. SIGMOD Conference 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
2021	J	`jnl`	KEA: Tuning an Exabyte-Scale Data Infrastructure. CoRR 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
2021	J	`jnl`	Tensors: An abstraction for general data processing. Proc. VLDB Endow. Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi
2020	A*	`conf`	A Tensor Compiler for Unified Machine Learning Prediction Serving. OSDI Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi
2020	J	`jnl`	A Tensor Compiler for Unified Machine Learning Prediction Serving. CoRR Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi
2020	A	`conf`	Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR 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
2020	A	`conf`	Extending Relational Query Processing with ML Inference. CIDR 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
2020	A*	`conf`	Kaskade: Graph Views for Efficient Graph Analytics. ICDE Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun
2020	A*	`conf`	Unearthing inter-job dependencies for better cluster scheduling. OSDI Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger
2019	—	`ch.`	Advancements in YARN Resource Manager. Encyclopedia of Big Data Technologies Konstantinos Karanasos, Arun Suresh, Chris Douglas
2019	J	`jnl`	Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR 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
2019	J	`jnl`	Data Science through the looking glass and what we found there. CoRR Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
2019	J	`jnl`	Extending Relational Query Processing with ML Inference. CoRR 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
2019	—	`conf`	Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC 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
2019	J	`jnl`	Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. CoRR 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
2019	Misc	`conf`	Hydra: a federated resource manager for data-center scale analytics. NSDI 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
2019	J	`jnl`	Kaskade: Graph Views for Efficient Graph Analytics. CoRR Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun
2019	—	`conf`	Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications. SoCC Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch
2019	—	`conf`	Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters. SIGMOD Conference Andrew Chung, Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Panagiotis Garefalakis, Gregory R. Ganger
2019	J	`jnl`	Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems. CoRR Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos
2018	—	`conf`	Computation Reuse in Analytics Job Service at Microsoft. SIGMOD Conference Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc T. Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao
2018	A	`conf`	Medea: scheduling of long running applications in shared production clusters. EuroSys Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch, Arun Suresh, Sriram Rao
2018	A*	`conf`	Query and Resource Optimization: Bridging the Gap. ICDE Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos
2018	J	`jnl`	Selecting Subexpressions to Materialize at Datacenter Scale. Proc. VLDB Endow. Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel
2016	A	`conf`	Efficient queue management for cluster scheduling. EuroSys Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
2015	—	`conf`	Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters. USENIX ATC Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Matteo Fumarola, Solom Heddaya, Raghu Ramakrishnan, Sarvesh Sakalanaga
2015	A	`conf`	WANalytics: Analytics for a Geo-Distributed Data-Intensive World. CIDR Ashish Vulimiri, Carlo Curino, Brighten Godfrey, Konstantinos Karanasos, George Varghese
2015	—	`conf`	WANalytics: Geo-Distributed Analytics for a Data Intensive World. SIGMOD Conference Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Konstantinos Karanasos, Jitendra Padhye, George Varghese
2014	—	`conf`	Dynamically optimizing queries over large scale data platforms. SIGMOD Conference Konstantinos Karanasos, Andrey Balmin, Marcel Kutsch, Fatma Ozcan, Vuk Ercegovac, Chunyang Xia, Jesse Jackson
2013	J	`jnl`	Delta: Scalable Data Dissemination under Capacity Constraints. Proc. VLDB Endow. Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu
2013	—	`conf`	Fact checking and analyzing the web. SIGMOD Conference François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis
2013	J	`jnl`	Growing triples on trees: an XML-RDF hybrid model for annotated documents. VLDB J. François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis
2012	J	`jnl`	Des triplets sur des arbres. Un modèle hybride XML-RDF pour documents annotés. Ingénierie des Systèmes d Inf. François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis
2012	B	`conf`	ViP2P: Efficient XML Management in DHT Networks. ICWE Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos
2012	—	`—`	View-Based techniques for the efficient management of web data. (Techniques fondées sur des vues matérialisées pour la gestion efficace des données du web). Konstantinos Karanasos
2011	A*	`conf`	Efficient XQuery rewriting using multiple views. ICDE Ioana Manolescu, Konstantinos Karanasos, Vasilis Vassalos, Spyros Zoupanos
2011	—	`conf`	Growing Triples on Trees: an XML-RDF Hybrid Model for Annotated Documents. VLDS François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis
2011	J	`jnl`	The ViP2P Platform: XML Views in P2P CoRR Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos
2011	J	`jnl`	View Selection in Semantic Web Databases CoRR François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu
2011	J	`jnl`	View Selection in Semantic Web Databases. Proc. VLDB Endow. François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu
2010	J	`jnl`	RDFViewS: A Storage Tuning Wizard for RDF Applications CoRR François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu
2010	A	`conf`	RDFViewS: a storage tuning wizard for RDF applications. CIKM François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu
2010	A*	`conf`	Viewing a world of annotations through AnnoVIP. ICDE Konstantinos Karanasos, Spyros Zoupanos
2009	J	`jnl`	Repeatability & workability evaluation of SIGMOD 2009. SIGMOD Rec. 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