Konstantinos Karanasos

According to our database, Konstantinos Karanasos authored at least 45 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs.

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

Proc. VLDB Endow., 2023

The Composable Data Management System Manifesto.

Pedro Pedreira, Orri Erling, Konstantinos Karanasos, Scott Schneider, Wes McKinney, Satyanarayana R. Valluri, Mohamed Zaït, Jacques Nadeau

Proc. VLDB Endow., 2023

Optimizing Data Pipelines for Machine Learning in Feature Stores.

Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez

Proc. VLDB Endow., 2023

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.

Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Stitcher: Learned Workload Synthesis from Historical Performance Footprints.

Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.

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

SIGMOD Rec., 2022

Containerized Execution of UDFs: An Experimental Evaluation.

Karla Saur, Tara Mirmira, Konstantinos Karanasos, Jesús Camacho-Rodríguez

Proc. VLDB Endow., 2022

Query Processing on Tensor Computation Runtimes.

Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi

Proc. VLDB Endow., 2022

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs.

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

CoRR, 2022

End-to-end Optimization of Machine Learning Prediction Queries.

Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Tensors: An abstraction for general data processing.

Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi

Proc. VLDB Endow., 2021

KEA: Tuning an Exabyte-Scale Data Infrastructure.

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

A Tensor Compiler for Unified Machine Learning Prediction Serving.

Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Unearthing inter-job dependencies for better cluster scheduling.

Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Kaskade: Graph Views for Efficient Graph Analytics.

Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Extending Relational Query Processing with ML Inference.

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Advancements in YARN Resource Manager.

Konstantinos Karanasos, Arun Suresh, Chris Douglas

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Data Science through the looking glass and what we found there.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer

CoRR, 2019

Query and Resource Optimizations: A Case for Breaking the Wall in Big Data Systems.

Alekh Jindal, Lalitha Viswanathan, Konstantinos Karanasos

CoRR, 2019

Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters.

Andrew Chung, Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Panagiotis Garefalakis, Gregory R. Ganger

Proceedings of the 2019 International Conference on Management of Data, 2019

Hydra: a federated resource manager for data-center scale analytics.

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

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms.

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

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications.

Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Selecting Subexpressions to Materialize at Datacenter Scale.

Alekh Jindal, Konstantinos Karanasos, Sriram Rao, Hiren Patel

Proc. VLDB Endow., 2018

Computation Reuse in Analytics Job Service at Microsoft.

Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc T. Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao

Proceedings of the 2018 International Conference on Management of Data, 2018

Query and Resource Optimization: Bridging the Gap.

Lalitha Viswanathan, Alekh Jindal, Konstantinos Karanasos

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Medea: scheduling of long running applications in shared production clusters.

Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch, Arun Suresh, Sriram Rao

Proceedings of the Thirteenth EuroSys Conference, 2018

2016

Efficient queue management for cluster scheduling.

Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao

Proceedings of the Eleventh European Conference on Computer Systems, 2016

2015

Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters.

Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Matteo Fumarola, Solom Heddaya, Raghu Ramakrishnan, Sarvesh Sakalanaga

Proceedings of the 2015 USENIX Annual Technical Conference, 2015

WANalytics: Geo-Distributed Analytics for a Data Intensive World.

Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Konstantinos Karanasos, Jitendra Padhye, George Varghese

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

WANalytics: Analytics for a Geo-Distributed Data-Intensive World.

Ashish Vulimiri, Carlo Curino, Brighten Godfrey, Konstantinos Karanasos, George Varghese

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014

Dynamically optimizing queries over large scale data platforms.

Konstantinos Karanasos, Andrey Balmin, Marcel Kutsch, Fatma Ozcan, Vuk Ercegovac, Chunyang Xia, Jesse Jackson

Proceedings of the International Conference on Management of Data, 2014

2013

Growing triples on trees: an XML-RDF hybrid model for annotated documents.

François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis

VLDB J., 2013

Delta: Scalable Data Dissemination under Capacity Constraints.

Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu

Proc. VLDB Endow., 2013

Fact checking and analyzing the web.

François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

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

PhD thesis, 2012

Des triplets sur des arbres. Un modèle hybride XML-RDF pour documents annotés.

François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis

Ingénierie des Systèmes d Inf., 2012

ViP2P: Efficient XML Management in DHT Networks.

Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos

Proceedings of the Web Engineering - 12th International Conference, 2012

2011

View Selection in Semantic Web Databases.

François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu

Proc. VLDB Endow., 2011

The ViP2P Platform: XML Views in P2P

Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos

CoRR, 2011

Efficient XQuery rewriting using multiple views.

Ioana Manolescu, Konstantinos Karanasos, Vasilis Vassalos, Spyros Zoupanos

Proceedings of the 27th International Conference on Data Engineering, 2011

2010

Viewing a world of annotations through AnnoVIP.

Konstantinos Karanasos, Spyros Zoupanos

Proceedings of the 26th International Conference on Data Engineering, 2010

RDFViewS: a storage tuning wizard for RDF applications.

François Goasdoué, Konstantinos Karanasos, Julien Leblay, Ioana Manolescu

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Repeatability & workability evaluation of SIGMOD 2009.

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

SIGMOD Rec., 2009