Fed-agent – a Transparent ACID-Enabled Transactional Layer for Multidatabase Microservice Architectures

Nikolić, Lazar; Dimitrieski, Vladimir

doi:10.15439/2021F46

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Tytuł artykułu

Fed-agent – a Transparent ACID-Enabled Transactional Layer for Multidatabase Microservice Architectures

Autorzy

Nikolić Lazar , Dimitrieski Vladimir

Wybrane pełne teksty z tego czasopisma

http://annals-csis.org

Identyfikatory

DOI

10.15439/2021F46

Warianty tytułu

Konferencja

Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)

Języki publikacji

Abstrakty

With the recent expansion of specialized databases and departure from the "one size fits all" paradigm, engineers might decide to use multiple databases. Each database holds a representation of a data object but offers transactions and consistency guarantees only locally. Existing solutions either require additional coding or do not provide global ACID transactions. In this paper, we present fed-agent, a transactional layer that provides global consistency and ACID transactions for single data objects within multidatabase systems. It requires no additional coding besides configuration files. We show that fed-agent scales linearly and introduces an overhead small enough for most microservice solutions.

Słowa kluczowe

database management systems service-oriented architecture transaction processing embedded systems microprocessor chips multithreading safety critical software

systemy zarządzania bazami danych architektura zorientowana na usługi przetwarzanie transakcji systemy wbudowane układy mikroprocesorowe wielowątkowość oprogramowanie krytyczne dla bezpieczeństwa

Wydawca

Polskie Towarzystwo Informatyczne

Czasopismo

Annals of Computer Science and Information Systems

Rocznik

2021

Tom

Vol. 25

Strony

489--492

Opis fizyczny

Bibliogr. 19 poz., tab., wykr., il.

Twórcy

autor

Nikolić Lazar

lazar.nikolic@uns.ac.rs

University of Novi Sad, Faculty of Technical Sciences

autor

Dimitrieski Vladimir

dimitrieski@uns.ac.rs

University of Novi Sad, Faculty of Technical Sciences

Bibliografia

1. M. Stonebraker, S. Madden, D. J. Abadi, S. Harizopoulos, N. Hachem, and P. Helland, “The end of an architectural era: it's time for a complete rewrite,” Making Databases Work: the Pragmatic Wisdom of Michael Stonebraker, pp. 463–489, 2018.
2. VoltDB, 10-May-2021. [Online]. Available: https://www.voltdb.com/. [Accessed: 23-May-2021].
3. Neo4j Graph Database Platform, 13-May-2021. [Online]. Available: https://neo4j.com/. [Accessed: 23-May-2021].
4. V. Gadepally, P. Chen, J. Duggan, A. Elmore, B. Haynes, J. Kepner, S. Madden, T. Mattson, and M. Stonebraker, “The BigDAWG polystore system and architecture,” 2016 IEEE High Performance Extreme Computing Conference (HPEC), 2016.
5. P. Bakkum and K. Skadron, “Accelerating SQL database operations on a GPU with CUDA,” Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units - GPGPU '10, 2010.
6. C. Mohan, B. Lindsay, and R. Obermarck, “Transaction management in the R* distributed database management system,” ACM Transactions on Database Systems, vol. 11, no. 4, pp. 378–396, 1986.
7. A. Thomson, T. Diamond, S.-C. Weng, K. Ren, P. Shao, and D. J. Abadi, “Calvin,” Proceedings of the 2012 international conference on Management of Data - SIGMOD '12, 2012.
8. W. Vogels, “Eventually consistent,” Communications of the ACM, vol. 52, no. 1, pp. 40–44, 2009.
9. D. Ongaro, and J. Ousterhout, „In search of an understandable consensus algorithm”. In 2014 {USENIX} Annual Technical Conference ({USENIX}{ATC} 14) , pp. 305-319, 2014.
10. P. A. Bernstein and N. Goodman, “Multiversion concurrency control —theory and algorithms,” ACM Transactions on Database Systems, vol. 8, no. 4, pp. 465–483, 1983.
11. Tile38. [Online]. Available: https://tile38.com/. [Accessed: 23-May- 2021].
12. B. F. Cooper, A. Silberstein, E. Tam, R. Ramakrishnan, and R. Sears, “Benchmarking cloud serving systems with YCSB,” Proceedings of the 1st ACM symposium on Cloud computing - SoCC '10, 2010..
13. C. Rodríguez, M. Baez, F. Daniel, F. Casati, J. C. Trabucco, L. Canali, and G. Percannella, “REST APIs: A Large-Scale Analysis of Compliance with Principles and Best Practices,” Lecture Notes in Computer Science, pp. 21–39, 2016.
14. Y. Breitbart, H. Garcia-Molina, and A. Silberschatz, “Overview of multidatabase transaction management,” CASCON First Decade High Impact Papers on - CASCON '10, 2010.
15. F. Junqueira, B. Reed, and M. Yabandeh, “Lock-free transactional support for large-scale storage systems,” 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops (DSN-W), 2011.
16. G. Zhang, K. Ren, J.-S. Ahn, and S. Ben-Romdhane, “GRIT: Consistent Distributed Transactions Across Polyglot Microservices with Multiple Databases,” 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019. Conference on Data Engineering (ICDE) (pp. 2024-2027). IEEE.
17. Levandoski, J. Justin, D. Lomet, M. Mokbel and K. Zhao. “Deuteronomy: Transaction Support for Cloud Data.” CIDR (2011).
18. V. Arora, F. Nawab, D. Agrawal, and A. E. Abbadi, “Typhon: Consistency Semantics for Multi-Representation Data Processing,” 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017.
19. A. Dey, A. Fekete, and U. Rohm, “Scalable distributed transactions across heterogeneous stores,” 2015 IEEE 31st International Conference on Data Engineering, 2015.

Uwagi

1. Track 3: Software, System and Service Engineering

2. Short Papers

Typ dokumentu

Bibliografia

Identyfikator YADDA

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