Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Pinar Tözün"'
Publikováno v:
ACM SIGMOD Record. 50:50-53
The 47th International Conference on Very Large Databases (VLDB'21) was held on August 16-20, 2021 as a hybrid conference. It attracted 180 in-person attendees in Copenhagen and 840 remote attendees. In this paper, we describe our key decisions as ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b72e5f338f94ec3e777e58aba5cac17
https://doi.org/10.1145/3516431.3516447
https://doi.org/10.1145/3516431.3516447
Publikováno v:
The VLDB Journal, Volume 30
Sirin, U, Tözün, P, Porobic, D, Yasin, A & Ailamaki, A 2021, ' Micro-architectural analysis of in-memory OLTP: Revisited ', The VLDB Journal, vol. 30, no. 4, pp. 641-665 . https://doi.org/10.1007/s00778-021-00663-8
Sirin, U, Tözün, P, Porobic, D, Yasin, A & Ailamaki, A 2021, ' Micro-architectural analysis of in-memory OLTP: Revisited ', The VLDB Journal, vol. 30, no. 4, pp. 641-665 . https://doi.org/10.1007/s00778-021-00663-8
Micro-architectural behavior of traditional disk-based online transaction processing (OLTP) systems has been investigated extensively over the past couple of decades. Results show that traditional OLTP systems mostly under-utilize the available micro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a99b96a05a5b670343170afda803f7cd
https://doi.org/10.1007/s00778-021-00663-8
https://doi.org/10.1007/s00778-021-00663-8
Autor:
Mikkel Møller Andersen, Pinar Tözün
Publikováno v:
Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01e03ee1225355341b5cef87e45610d4
https://doi.org/10.1145/3533702.3534917
https://doi.org/10.1145/3533702.3534917
Autor:
Manuel Rigger, Pinar Tözün
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb727a17f5026bd63774992bbf432e8c
https://doi.org/10.1145/3514221.3524078
https://doi.org/10.1145/3514221.3524078
Data management systems enable various influential applications from high-performance online services (e.g., social networks like Twitter and Facebook or financial markets) to big data analytics (e.g., scientific exploration, sensor networks, busines
Publikováno v:
DaMoN
Picoli, I L, Bonnet, P & Tözün, P 2019, LSM Management on Computational Storage . in Proceedings of the 15th International Workshop on Data Management on New Hardware, DaMoN 2019, Amsterdam, The Netherlands, 1 July 2019 . Association for Computing Machinery, pp. 17:1-17:3 . https://doi.org/10.1145/3329785.3329927
Picoli, I L, Bonnet, P & Tözün, P 2019, LSM Management on Computational Storage . in Proceedings of the 15th International Workshop on Data Management on New Hardware, DaMoN 2019, Amsterdam, The Netherlands, 1 July 2019 . Association for Computing Machinery, pp. 17:1-17:3 . https://doi.org/10.1145/3329785.3329927
LSM-trees have emerged as the write-optimized index of choice for key-value stores and relational database systems. LSM-trees typically rely on a storage manager on top of a file system for storing data on Solid-State Drives (SSDs). The I/O path thus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df19a16461ba5526cd6d50c39889f837
https://doi.org/10.1145/3329785.3329927
https://doi.org/10.1145/3329785.3329927
Autor:
Adam J. Storm, Ronald J. Barber, Yuanyuan Tian, Yingjun Wu, Pinar Tözün, Hamid Pirahesh, Ronen Grosman, Christian Garcia-Arellano, René Müller, Vijayshankar Raman, Guy M. Lohman, Richard S. Sidle, Chandrasekaran Mohan
Publikováno v:
Barber, R, Garcia-Arellano, C, Grosman, R, Lohman, G, Mohan, C, Mueller, R, Pirahesh, H, Raman, V, Sidle, R, Storm, A, Tian, Y, Tözün, P & Wu, Y 2019, WiSer: A Highly Available HTAP DBMS for IoT Applications . in IEEE International Conference on Big Data . IEEE, pp. 268-277 . https://doi.org/10.1109/BigData47090.2019.9006519
IEEE BigData
IEEE BigData
In a classic transactional distributed database management system (DBMS), write transactions invariably synchronize with a coordinator before final commitment. While enforcing serializability, this model has long been criticized for not satisfying th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c0260b86a1f489ac1f0278c46c2e3b4
Scaling the performance of shared-everything transaction processing systems to highly-parallel multicore hardware remains a challenge for database system designers. Recent proposals alleviate locking and logging bottlenecks in the system, leaving pag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e04b1f8681e49739373e8bae9d5254
http://doc.rero.ch/record/312060/files/778_2012_Article_278.pdf
http://doc.rero.ch/record/312060/files/778_2012_Article_278.pdf
Autor:
Pinar Tözün
Publikováno v:
Proceedings of the 2018 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::799329b2b45e34451e730bafa0c12916
https://doi.org/10.1145/3258007
https://doi.org/10.1145/3258007
Publikováno v:
The VLDB Journal. 25:625-650
Modern hardware is abundantly parallel and increasingly heterogeneous. The numerous processing cores have non-uniform access latencies to the main memory and processor caches, which causes variability in the communication costs. Unfortunately, databa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f568b1a376225be8d77868d57932857e
https://doi.org/10.1007/s00778-015-0413-2
https://doi.org/10.1007/s00778-015-0413-2