Self-Adapting Management of Multi-Model Databases
| Název práce v češtině: | Samoadaptivní správa vícemodelových databází |
|---|---|
| Název v anglickém jazyce: | Self-Adapting Management of Multi-Model Databases |
| Klíčová slova: | vícemodelová data|správa změn|samoadaptivní systém |
| Klíčová slova anglicky: | multi-model data|evolution management|self-adaptin system |
| Akademický rok vypsání: | 2021/2022 |
| Typ práce: | disertační práce |
| Jazyk práce: | angličtina |
| Ústav: | Katedra softwarového inženýrství (32-KSI) |
| Vedoucí / školitel: | doc. RNDr. Irena Holubová, Ph.D. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 19.09.2022 |
| Datum zadání: | 19.09.2022 |
| Datum potvrzení stud. oddělením: | 03.10.2022 |
| Konzultanti: | Ing. Pavel Koupil, Ph.D. |
| Zásady pro vypracování |
| 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. |
| Seznam odborné literatury |
| 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. |