Self-Adapting Management of Multi-Model Databases
| Thesis title in Czech: | Samoadaptivní správa vícemodelových databází |
|---|---|
| Thesis title in English: | Self-Adapting Management of Multi-Model Databases |
| Key words: | vícemodelová data|správa změn|samoadaptivní systém |
| English key words: | multi-model data|evolution management|self-adaptin system |
| Academic year of topic announcement: | 2021/2022 |
| Thesis type: | dissertation |
| Thesis language: | angličtina |
| Department: | Department of Software Engineering (32-KSI) |
| Supervisor: | doc. RNDr. Irena Holubová, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 19.09.2022 |
| Date of assignment: | 19.09.2022 |
| Confirmed by Study dept. on: | 03.10.2022 |
| Advisors: | Ing. Pavel Koupil, Ph.D. |
| Guidelines |
| Multi-model data is organised in various mutually interlinked formats and models, often with contradictory features. In addition, its structure may change over time, and its size can grow to the extremes of Big Data. In terms of research and practical processing, this creates one of the most complex challenges of effective data management.
As it is not humanly possible to handle such a complex task manually, this thesis will focus on basic research in the area of automatic management of dynamic multi-model Big Data. The aim is to gradually design a robust framework capable of accepting different levels of user input as well as different types of data, queries, changes, and propagation strategies and ensuring the preservation of adequate and efficient data access. The self-adapting evolution management will ensure complete, correct and effective propagation of changes. |
| References |
| Lu, J. - Holubova, I.: Multi-model Databases: A New Journey to Handle the Variety of Data. ACM Comput. Surv., 52(3), 2019.
Störl, U. - Klettke, M. - Scherzinger, S.: NoSQL Schema Evolution and Data Migration: State-of-the-Art and Opportunities. EDBT 2020, pages 655-658. OpenProceedings.org, 2020. Holubova, I. - Vavrek, M. - Scherzinger, S.: Evolution Management in Multi-Model Databases. Data Knowl. Eng., 136:101932, 2021. Hillenbrand, A. - Storl, U. - Levchenko, M. - Nabiyev, S. et al.: Towards Self-Adapting Data Migration in the Context of Schema Evolution in NoSQL Databases. In ICDE Workshops 2020, pages 133–138. IEEE, 2020. Idreos, S. - Dayan, N. - Qin, W. - Akmanalp, M. et al.: Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn. In CIDR 2019. www.cidrdb.org, 2019. Kossmann, J. - Halfpap, S. - Jankrift, M. - Schlosser, R.: Magic Mirror in My Hand, Which Is the Best in the Land? An Experimental Evaluation of Index Selection Algorithms. Proc. VLDB Endow., 13(11):2382–2395, 2020. Koupil, P. - Holubova, I.: A Unified Representation and Transformation of Multi-Model Data using Category Theory. J. of Big Data (accepted), 2022. |