TY - GEN
T1 - Bidirectional Collaborative Frameworks for Decentralized Data Management
AU - Asano, Yasuhito
AU - Cao, Yang
AU - Hidaka, Soichiro
AU - Hu, Zhenjiang
AU - Ishihara, Yasunori
AU - Kato, Hiroyuki
AU - Nakano, Keisuke
AU - Onizuka, Makoto
AU - Sasaki, Yuya
AU - Shimizu, Toshiyuki
AU - Takeichi, Masato
AU - Xiao, Chuan
AU - Yoshikawa, Masatoshi
N1 - Funding Information:
This work was partly supported by JSPS KAKENHI Grant Numbers 17H06099, 18H04093, 19H04088. We also thank Dr. Zinovy Diskin (McMas-ter University) for discussing bipartite graph representation and expressiveness of the Dejima architecture.
Funding Information:
Acknowledgments. This work was partly supported by JSPS KAKENHI Grant Numbers 17H06099, 18H04093, 19H04088. We also thank Dr. Zinovy Diskin (McMaster University) for discussing bipartite graph representation and expressiveness of the Dejima architecture.
Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Along with the continuous evolution of data management systems for the new market requirements, we are moving from centralized systems towards decentralized systems, where data are maintained in different sites with autonomous storage and computation capabilities. There are two fundamental issues with such decentralized systems: local privacy and global consistency. By local privacy, the data owner wishes to control what information should be exposed and how it should be used or updated by other peers. By global consistency, the systems wish to have a globally consistent and integrated view of all data. In this paper, we report the progress of our BISCUITS (Bidirectional Information Systems for Collaborative, Updatable, Interoperable, and Trusted Sharing) project that attempts to systematically solve these two issues in distributed systems. We present a new bidirectional transformation-based approach to control and share distributed data, propose several distributed architectures for data integration via bidirectional updatable views, and demonstrate the applications of these architectures in ride-sharing alliances and gig job sites.
AB - Along with the continuous evolution of data management systems for the new market requirements, we are moving from centralized systems towards decentralized systems, where data are maintained in different sites with autonomous storage and computation capabilities. There are two fundamental issues with such decentralized systems: local privacy and global consistency. By local privacy, the data owner wishes to control what information should be exposed and how it should be used or updated by other peers. By global consistency, the systems wish to have a globally consistent and integrated view of all data. In this paper, we report the progress of our BISCUITS (Bidirectional Information Systems for Collaborative, Updatable, Interoperable, and Trusted Sharing) project that attempts to systematically solve these two issues in distributed systems. We present a new bidirectional transformation-based approach to control and share distributed data, propose several distributed architectures for data integration via bidirectional updatable views, and demonstrate the applications of these architectures in ride-sharing alliances and gig job sites.
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U2 - 10.1007/978-3-030-93849-9_2
DO - 10.1007/978-3-030-93849-9_2
M3 - Conference contribution
AN - SCOPUS:85124003181
SN - 9783030938482
T3 - Communications in Computer and Information Science
SP - 13
EP - 51
BT - Software Foundations for Data Interoperability - 5th International Workshop, SFDI 2021, Revised Selected Papers
A2 - Fletcher, George
A2 - Nakano, Keisuke
A2 - Sasaki, Yuya
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Workshop on Software Foundations for Data Interoperability, SFDI 2021
Y2 - 16 August 2021 through 16 August 2021
ER -