publications

2026

1. NSDI

   Slowpoke: End-to-end Throughput Optimization Modeling for Microservice Applications

   Yizheng Xie, Di Jin, Oguzhan Çölkesen, Vasiliki Kalavri, John Liagouris, and Nikos Vasilakis

   In 23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2026

   Bib Artifact PDF

   @inproceedings{xie2026slowpoke,
     title = {Slowpoke: End-to-end Throughput Optimization Modeling for Microservice Applications},
     author = {Xie, Yizheng and Jin, Di and {\c{C}}{\"o}lkesen, Oguzhan and Kalavri, Vasiliki and Liagouris, John and Vasilakis, Nikos},
     booktitle = {23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI)},
     year = {2026},
   }

2025

1. SOSP

   ORQ: Complex Analytics on Private Data with Strong Security Guarantees

   Eli Baum, Sam Buxbaum, Nitin Mathai, Muhammad Faisal, Vasiliki Kalavri, Mayank Varia, and John Liagouris

   In Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles (SOSP’25), 2025

   Distinguished Artifact Award Bib Artifact PDF

   Distinguished Artifact Award

   @inproceedings{baum2025orq,
     title = {ORQ: Complex Analytics on Private Data with Strong Security Guarantees},
     author = {Baum, Eli and Buxbaum, Sam and Mathai, Nitin and Faisal, Muhammad and Kalavri, Vasiliki and Varia, Mayank and Liagouris, John},
     booktitle = {Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles (SOSP'25)},
     pages = {802--833},
     year = {2025},
   }

2. EuroSys

   CAPSys: Contention-aware task placement for data stream processing

   Yuanli Wang, Lei Huang, Zikun Wang, Vasiliki Kalavri, and Ibrahim Matta

   In Twentieth European Conference on Computer Systems (EuroSys ’25), 2025

   Bib Artifact PDF

   @inproceedings{wang2025capsys,
     title = {CAPSys: Contention-aware task placement for data stream processing},
     author = {Wang, Yuanli and Huang, Lei and Wang, Zikun and Kalavri, Vasiliki and Matta, Ibrahim},
     booktitle = {Twentieth European Conference on Computer Systems (EuroSys '25)},
     year = {2025},
   }

3. VLDB

   Disaggregated State Management in Apache Flink 2.0

   Yuan Mei, Rui Xia, Zhaoqian Lan, Kaitian Hu, Lei Huang, Paris Carbone, Yanfei Lei, Vasiliki Kalavri, Han Yin, and Feng Wang

   Proceedings of the VLDB Endowment, 2025

   Bib PDF

   @article{mei2025disaggregated,
     title = {Disaggregated State Management in Apache Flink 2.0},
     author = {Mei, Yuan and Xia, Rui and Lan, Zhaoqian and Hu, Kaitian and Huang, Lei and Carbone, Paris and Lei, Yanfei and Kalavri, Vasiliki and Yin, Han and Wang, Feng},
     journal = {Proceedings of the VLDB Endowment},
     volume = {18},
     number = {12},
     pages = {4846--4859},
     year = {2025},
     publisher = {VLDB Endowment},
   }

4. HotStorage

   RingSampler: GNN sampling on large-scale graphs with io_uring

   Qixuan Chen, Yuhang Song, Melissa Martinez, and Vasiliki Kalavri

   In Proceedings of the 17th ACM Workshop on Hot Topics in Storage and File Systems, 2025

   Bib Artifact PDF Slides

   @inproceedings{chen2025ringsampler,
     title = {RingSampler: GNN sampling on large-scale graphs with io\_uring},
     author = {Chen, Qixuan and Song, Yuhang and Martinez, Melissa and Kalavri, Vasiliki},
     booktitle = {Proceedings of the 17th ACM Workshop on Hot Topics in Storage and File Systems},
     pages = {52--60},
     year = {2025},
   }

5. GRADES-NDA

   Bridging GNN Inference and Dataflow Stream Processing: Challenges and Opportunities

   Naima Abrar Shami and Vasiliki Kalavri

   In Proceedings of the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2025

   Bib Artifact PDF

   @inproceedings{shami2025bridging,
     title = {Bridging GNN Inference and Dataflow Stream Processing: Challenges and Opportunities},
     author = {Shami, Naima Abrar and Kalavri, Vasiliki},
     booktitle = {Proceedings of the 8th Joint Workshop on Graph Data Management Experiences \& Systems (GRADES) and Network Data Analytics (NDA)},
     pages = {1--10},
     year = {2025},
   }

2024

1. EDBT

   Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems

   Sonia Horchidan, Po Hao Chen, Emmanouil Kritharakis, Paris Carbone, and Vasiliki Kalavri

   In 27th International Conference on Extending Database Technology (EDBT), 2024

   Bib Artifact PDF

   @inproceedings{horchidan2024crayfish,
     title = {Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems},
     author = {Horchidan, Sonia and Chen, Po Hao and Kritharakis, Emmanouil and Carbone, Paris and Kalavri, Vasiliki},
     booktitle = {27th International Conference on Extending Database Technology (EDBT)},
     volume = {27},
     pages = {676--689},
     year = {2024},
   }

2. SIGMOD DEMO

   Queryshield: Cryptographically secure analytics in the cloud

   Ethan Seow, Yan Tong, Eli Baum, Sam Buxbaum, Muhammad Faisal, John Liagouris, Vasiliki Kalavri, and Mayank Varia

   In Companion of the 2024 International Conference on Management of Data, 2024

   Bib Artifact PDF

   @inproceedings{seow2024queryshield,
     title = {Queryshield: Cryptographically secure analytics in the cloud},
     author = {Seow, Ethan and Tong, Yan and Baum, Eli and Buxbaum, Sam and Faisal, Muhammad and Liagouris, John and Kalavri, Vasiliki and Varia, Mayank},
     booktitle = {Companion of the 2024 International Conference on Management of Data},
     pages = {436--439},
     year = {2024},
   }

3. DaMoN

   In situ neighborhood sampling for large-scale GNN training

   Yuhang Song, Po Hao Chen, Yuchen Lu, Naima Abrar, and Vasiliki Kalavri

   In Proceedings of the 20th International Workshop on Data Management on New Hardware, 2024

   Best Short Paper Award Bib Artifact PDF

   Best Short Paper Award

   @inproceedings{song2024situ,
     title = {In situ neighborhood sampling for large-scale GNN training},
     author = {Song, Yuhang and Chen, Po Hao and Lu, Yuchen and Abrar, Naima and Kalavri, Vasiliki},
     booktitle = {Proceedings of the 20th International Workshop on Data Management on New Hardware},
     pages = {1--5},
     year = {2024},
   }

2023

1. NSDI

   SECRECY: Secure collaborative analytics in untrusted clouds

   John Liagouris, Vasiliki Kalavri, Muhammad Faisal, and Mayank Varia

   In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), 2023

   Bib Artifact PDF

   @inproceedings{liagouris2023secrecy,
     title = {SECRECY: Secure collaborative analytics in untrusted clouds},
     author = {Liagouris, John and Kalavri, Vasiliki and Faisal, Muhammad and Varia, Mayank},
     booktitle = {20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23)},
     pages = {1031--1056},
     year = {2023},
   }

2. Security

   TVA: A multi-party computation system for secure and expressive time series analytics

   Muhammad Faisal, Jerry Zhang, John Liagouris, Vasiliki Kalavri, and Mayank Varia

   In 32nd USENIX Security Symposium (USENIX Security 23), 2023

   Bib Artifact PDF

   @inproceedings{faisal2023tva,
     title = {TVA: A multi-party computation system for secure and expressive time series analytics},
     author = {Faisal, Muhammad and Zhang, Jerry and Liagouris, John and Kalavri, Vasiliki and Varia, Mayank},
     booktitle = {32nd USENIX Security Symposium (USENIX Security 23)},
     pages = {5395--5412},
     year = {2023},
   }

3. VLDBJ

   A survey on the evolution of stream processing systems

   Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, and Asterios Katsifodimos

   The VLDB Journal, 2023

   Bib PDF

   @article{fragkoulis2023survey,
     title = {A survey on the evolution of stream processing systems},
     author = {Fragkoulis, Marios and Carbone, Paris and Kalavri, Vasiliki and Katsifodimos, Asterios},
     journal = {The VLDB Journal},
     year = {2023},
     publisher = {Springer},
   }

2022

1. EuroSys

   A New Benchmark Harness for Systematic and Robust Evaluation of Streaming State Stores

   Esmail Asyabi, Yuanli Wang, John Liagouris, Vasiliki Kalavri, and Azer Bestavros

   In Proceedings of the Seventeenth European Conference on Computer Systems (EuroSys’22), 2022

   Bib Artifact PDF

   @inproceedings{asyabi2022new,
     title = {A New Benchmark Harness for Systematic and Robust Evaluation of Streaming State Stores},
     author = {Asyabi, Esmail and Wang, Yuanli and Liagouris, John and Kalavri, Vasiliki and Bestavros, Azer},
     booktitle = {Proceedings of the Seventeenth European Conference on Computer Systems (EuroSys'22)},
     pages = {559--574},
     year = {2022},
   }

2. BiDEDE

   The non-expert tax: quantifying the cost of auto-scaling in cloud-based data stream analytics

   Yuanli Wang, Baiqing Lyu, and Vasiliki Kalavri

   In Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2022

   Bib PDF

   @inproceedings{wang2022non,
     title = {The non-expert tax: quantifying the cost of auto-scaling in cloud-based data stream analytics},
     author = {Wang, Yuanli and Lyu, Baiqing and Kalavri, Vasiliki},
     booktitle = {Proceedings of the International Workshop on Big Data in Emergent Distributed Environments},
     pages = {1--7},
     year = {2022},
   }

3. DEEM

   Evaluating model serving strategies over streaming data

   Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri, and Paris Carbone

   In Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning, 2022

   Best Paper Award Bib PDF

   Best Paper Award

   @inproceedings{horchidan2022evaluating,
     title = {Evaluating model serving strategies over streaming data},
     author = {Horchidan, Sonia and Kritharakis, Emmanouil and Kalavri, Vasiliki and Carbone, Paris},
     booktitle = {Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning},
     pages = {1--5},
     year = {2022},
   }

4. aiDM

   GCNSplit: Bounding the State of Streaming Graph Partitioning

   Michał Zwolak, Zainab Abbas, Sonia Horchidan, Paris Carbone, and Vasiliki Kalavri

   In Exploiting Artificial Intelligence Techniques for Data (aiDM’22), 2022

   Bib PDF

   @inproceedings{zwolak2022gcnsplit,
     title = {GCNSplit: Bounding the State of Streaming Graph Partitioning},
     author = {Zwolak, Micha{\l} and Abbas, Zainab and Horchidan, Sonia and Carbone, Paris and Kalavri, Vasiliki},
     booktitle = {Exploiting Artificial Intelligence Techniques for Data (aiDM’22)},
     year = {2022},
   }

5. SAC

   Learning on Streaming Graphs with Experience Replay

   Massimo Perini, Giorgia Ramponi, Paris Carbone, and Vasiliki Kalavri

   In The 37th ACM/SIGAPP Symposium on Applied Computing (SAC ’22), 2022

   Bib PDF

   @inproceedings{perini2022learning,
     title = {Learning on Streaming Graphs with Experience Replay},
     author = {Perini, Massimo and Ramponi, Giorgia and Carbone, Paris and Kalavri, Vasiliki},
     booktitle = {The 37th ACM/SIGAPP Symposium on Applied Computing (SAC ’22)},
     year = {2022},
     organization = {https://doi.org/10.1145/3477314.3507113},
   }

2021

1. Vision

   The future is big graphs: a community view on graph processing systems

   Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid Aref, Marcelo Arenas, Maciej Besta, Peter A Boncz, and others

   Communications of the ACM, 2021

   Bib PDF

   @article{sakr2021future,
     title = {The future is big graphs: a community view on graph processing systems},
     author = {Sakr, Sherif and Bonifati, Angela and Voigt, Hannes and Iosup, Alexandru and Ammar, Khaled and Angles, Renzo and Aref, Walid and Arenas, Marcelo and Besta, Maciej and Boncz, Peter A and others},
     journal = {Communications of the ACM},
     volume = {64},
     number = {9},
     pages = {62--71},
     year = {2021},
     publisher = {ACM New York, NY, USA},
   }

2. JSys SoK

   Sok: Function-as-a-service: From an application developer’s perspective

   Ali Raza, Ibrahim Matta, Nabeel Akhtar, Vasiliki Kalavri, and Vatche Isahagian

   Journal of Systems Research, 2021

   Bib PDF

   @article{raza2021sok,
     title = {Sok: Function-as-a-service: From an application developer’s perspective},
     author = {Raza, Ali and Matta, Ibrahim and Akhtar, Nabeel and Kalavri, Vasiliki and Isahagian, Vatche},
     journal = {Journal of Systems Research},
     volume = {1},
     number = {1},
     year = {2021},
   }

3. TPDS Survey

   Practice of streaming processing of dynamic graphs: Concepts, models, and systems

   Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, and Torsten Hoefler

   IEEE Transactions on Parallel and Distributed Systems, 2021

   Bib PDF

   @article{besta2021practice,
     title = {Practice of streaming processing of dynamic graphs: Concepts, models, and systems},
     author = {Besta, Maciej and Fischer, Marc and Kalavri, Vasiliki and Kapralov, Michael and Hoefler, Torsten},
     journal = {IEEE Transactions on Parallel and Distributed Systems},
     year = {2021},
     publisher = {IEEE},
   }

2020

1. SIGMOD Tutorial

   Beyond Analytics: the Evolution of Stream Processing Systems

   Paris Carbone, Marios Fragkoulis, Vasiliki Kalavri, and Asterios Katsifodimos

   In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020

   Bib PDF Slides

   @inproceedings{carbone2020beyond,
     title = {Beyond Analytics: the Evolution of Stream Processing Systems},
     author = {Carbone, Paris and Fragkoulis, Marios and Kalavri, Vasiliki and Katsifodimos, Asterios},
     booktitle = {Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data},
     pages = {2651--2658},
     year = {2020},
     fellowship = {true}
   }

2. HotStorage

   In support of workload-aware streaming state management

   Vasiliki Kalavri and John Liagouris

   In 12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 20), 2020

   Outstanding New Research Direction Award Bib PDF

   Outstanding New Research Direction Award

   @inproceedings{kalavri2020support,
     title = {In support of workload-aware streaming state management},
     author = {Kalavri, Vasiliki and Liagouris, John},
     booktitle = {12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 20)},
     year = {2020},
   }

2019

1. VLDB

   Megaphone: Live state migration for distributed streaming dataflows

   Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, and Timothy Roscoe

   Proceedings of the VLDB Endowment, 2019

   Bib PDF

   @article{hoffmann2019megaphone,
     title = {Megaphone: Live state migration for distributed streaming dataflows},
     author = {Hoffmann, Moritz and Lattuada, Andrea and McSherry, Frank and Kalavri, Vasiliki and Liagouris, John and Roscoe, Timothy},
     journal = {Proceedings of the VLDB Endowment},
     volume = {12},
     number = {9},
     pages = {1002--1015},
     year = {2019},
     fellowship = {true}
   }

2. Book

   

   Stream Processing with Apache Flink

   Fabian Hueske and Vasiliki Kalavri

   2019

   Bib Website

   @misc{hueske2019stream,
     title = {Stream Processing with Apache Flink},
     author = {Hueske, Fabian and Kalavri, Vasiliki},
     year = {2019},
     publisher = {Published by O’Reilly Media, Inc.},
   }

3. BIRTE

   FASTER State Management for Timely Dataflow

   Matthew Brookes, Vasiliki Kalavri, and John Liagouris

   In Proceedings of Real-Time Business Intelligence and Analytics, 2019

   Bib

   @inproceedings{brookes2019faster,
     title = {FASTER State Management for Timely Dataflow},
     author = {Brookes, Matthew and Kalavri, Vasiliki and Liagouris, John},
     booktitle = {Proceedings of Real-Time Business Intelligence and Analytics},
     pages = {4--1},
     year = {2019},
     organization = {ACM},
     fellowship = {true},
   }

2018

1. TKDE Survey

   High-Level Programming Abstractions for Distributed Graph Processing

   Vasiliki Kalavri, Vladimir Vlassov, and Seif Haridi

   IEEE Transactions on Knowledge and Data Engineering, 2018

   Bib PDF

   @article{kalavri2018high,
     title = {High-Level Programming Abstractions for Distributed Graph Processing},
     author = {Kalavri, Vasiliki and Vlassov, Vladimir and Haridi, Seif},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     volume = {30},
     number = {2},
     pages = {305--324},
     year = {2018},
     publisher = {IEEE},
   }

2. NSDI

   SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows

   Moritz Hoffmann, Andrea Lattuada, John Liagouris, Vasiliki Kalavri, Desislava Dimitrova, Sebastian Wicki, Zaheer Chothia, and Timothy Roscoe

   In 15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18), 2018

   Bib PDF

   @inproceedings{hoffmann2018snailtrail,
     title = {SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows},
     author = {Hoffmann, Moritz and Lattuada, Andrea and Liagouris, John and Kalavri, Vasiliki and Dimitrova, Desislava and Wicki, Sebastian and Chothia, Zaheer and Roscoe, Timothy},
     booktitle = {15th $\{$USENIX$\}$ Symposium on Networked Systems Design and Implementation ($\{$NSDI$\}$ 18)},
     year = {2018},
     organization = {USENIX Association},
     fellowship = {true}
   }

3. VLDB

   Streaming Graph Partitioning: An Experimental Study

   Zainab Abbas, Vasiliki Kalavri, Paris Carbone, and Vladimir Vlassov

   Proceedings of the VLDB Endowment, 2018

   Bib PDF

   @article{abbas2018streaming,
     title = {Streaming Graph Partitioning: An Experimental Study},
     author = {Abbas, Zainab and Kalavri, Vasiliki and Carbone, Paris and Vlassov, Vladimir},
     journal = {Proceedings of the VLDB Endowment},
     volume = {11},
     number = {11},
     year = {2018},
   }

4. OSDI

   Three steps is all you need: fast accurate, automatic scaling decisions for distributed streaming dataflows

   Vasiliki Kalavri, John Liagouris, Moritz Hoffmann, Desislava Dimitrova, Matthew Forshaw, and Timothy Roscoe

   In 13th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 18), 2018

   Bib PDF

   @inproceedings{kalavri2018three,
     title = {Three steps is all you need: fast accurate, automatic scaling decisions for distributed streaming dataflows},
     author = {Kalavri, Vasiliki and Liagouris, John and Hoffmann, Moritz and Dimitrova, Desislava and Forshaw, Matthew and Roscoe, Timothy},
     booktitle = {13th $\{$USENIX$\}$ Symposium on Operating Systems Design and Implementation ($\{$OSDI$\}$ 18)},
     year = {2018},
     fellowship = {true}
   }

2016

1. PAM

   Like a Pack of Wolves: Community Structure of Web Trackers

   Vasiliki Kalavri, Jeremy Blackburn, Matteo Varvello, and Konstantina Papagiannaki

   In International Conference on Passive and Active Network Measurement, 2016

   Bib PDF

   @inproceedings{kalavri2016like,
     title = {Like a Pack of Wolves: Community Structure of Web Trackers},
     author = {Kalavri, Vasiliki and Blackburn, Jeremy and Varvello, Matteo and Papagiannaki, Konstantina},
     booktitle = {International Conference on Passive and Active Network Measurement},
     pages = {42--54},
     year = {2016},
     organization = {Springer International Publishing},
   }

2. VLDB

   The shortest path is not always a straight line

   Vasiliki Kalavri, Tiago Simas, and Dionysios Logothetis

   Proceedings of the VLDB Endowment, 2016

   Bib PDF

   @article{kalavri2016shortest,
     title = {The shortest path is not always a straight line},
     author = {Kalavri, Vasiliki and Simas, Tiago and Logothetis, Dionysios},
     journal = {Proceedings of the VLDB Endowment},
     volume = {9},
     number = {9},
     pages = {672--683},
     year = {2016},
   }

2014

1. GRADES-NDA

   Asymmetry in large-scale graph analysis, explained

   Vasiliki Kalavri, Stephan Ewen, Kostas Tzoumas, Vladimir Vlassov, Volker Markl, and Seif Haridi

   In Proceedings of Workshop on GRAph Data management Experiences and Systems, 2014

   Bib

   @inproceedings{kalavri2014asymmetry,
     title = {Asymmetry in large-scale graph analysis, explained},
     author = {Kalavri, Vasiliki and Ewen, Stephan and Tzoumas, Kostas and Vlassov, Vladimir and Markl, Volker and Haridi, Seif},
     booktitle = {Proceedings of Workshop on GRAph Data management Experiences and Systems},
     pages = {1--7},
     year = {2014},
   }

2013

1. EuroPar

   Ponic: Using stratosphere to speed up pig analytics

   Vasiliki Kalavri, Vladimir Vlassov, and Per Brand

   In European Conference on Parallel Processing, 2013

   Bib

   @inproceedings{kalavri2013ponic,
     title = {Ponic: Using stratosphere to speed up pig analytics},
     author = {Kalavri, Vasiliki and Vlassov, Vladimir and Brand, Per},
     booktitle = {European Conference on Parallel Processing},
     pages = {279--290},
     year = {2013},
     organization = {Springer Berlin Heidelberg Berlin, Heidelberg},
   }

2. Block Sampling: Efficient Accurate Online Aggregation in MapReduce

   Vasiliki Kalavri, Vaidas Brundza, and Vladimir Vlassov

   In 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom) 2013, 2013

   Bib

   @inproceedings{kalavri2013block,
     title = {Block Sampling: Efficient Accurate Online Aggregation in MapReduce},
     author = {Kalavri, Vasiliki and Brundza, Vaidas and Vlassov, Vladimir},
     booktitle = {5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom) 2013},
     year = {2013},
   }

3. Survey

   MapReduce: Limitations, Optimizations and Open Issues

   Vasiliki Kalavri and Vladimir Vlassov

   In 11th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-13), 2013

   Bib

   @inproceedings{kalavri2013mapreduce,
     title = {MapReduce: Limitations, Optimizations and Open Issues},
     author = {Kalavri, Vasiliki and Vlassov, Vladimir},
     booktitle = {11th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-13)},
     year = {2013},
   }

4. m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data

   Vasiliki Kalavri, Hui Shang, and Vladimir Vlassov

   In 2nd International Conference on Big Data Science and Engineering (BDSE 2013), 2013

   Bib

   @inproceedings{kalavri2013m2r2,
     title = {m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data},
     author = {Kalavri, Vasiliki and Shang, Hui and Vlassov, Vladimir},
     booktitle = {2nd International Conference on Big Data Science and Engineering (BDSE 2013)},
     year = {2013},
   }