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Published in: Cluster Computing 1/2017

21-01-2017

Temporal transaction integrity constraints management

Authors: Michal Kvet, Karol Matiaško

Published in: Cluster Computing | Issue 1/2017

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Abstract

Data management during the whole life cycle of the object is fundamental requirement of current data processing. Temporal database brings new complex system, which allows storing and handling historical, current and future valid states of the objects. Existing solutions are inadequate in terms of performance—effectiveness, size and time processing requirements of the whole system. This paper deals with the principles of temporal data modelling, describes the structure and methods for manipulation. It focuses on future valid data processing, which can be processed using the transactions, too. It deals with temporal classification rules. Whereas, temporal system requires extension of the transaction properties, proposed system, which is fully temporal, highlights transaction definition and management. Described solution is mostly designed for communication systems, intelligent transport system, but can manage sensorial data, where performance based on speed and the size of the transmitted data is significant. However, it but can be used in any field due to its versatility.

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Literature
1.
go back to reference Ahsan, K., Vijay, P.: Temporal Databases: Information Systems. Booktango, Bloomington (2014) Ahsan, K., Vijay, P.: Temporal Databases: Information Systems. Booktango, Bloomington (2014)
2.
go back to reference Ashdown, L., Kyte, T.: Oracle Database Concepts. Oracle Press, New York (2015) Ashdown, L., Kyte, T.: Oracle Database Concepts. Oracle Press, New York (2015)
3.
go back to reference Avilés, G., et al.: Spatio-temporal modeling of financial maps from a joint multidimensional scaling-geostatistical perspective. Expert Syst. Appl. 60, 280–293 (2016)CrossRef Avilés, G., et al.: Spatio-temporal modeling of financial maps from a joint multidimensional scaling-geostatistical perspective. Expert Syst. Appl. 60, 280–293 (2016)CrossRef
4.
go back to reference Behling, R., et al.: Derivation of long-term spatiotemporal lanslide activity—a multisensor time species approach. Remote Sens. Environ. 136, 88–104 (2016)CrossRef Behling, R., et al.: Derivation of long-term spatiotemporal lanslide activity—a multisensor time species approach. Remote Sens. Environ. 136, 88–104 (2016)CrossRef
5.
go back to reference Carvalho, A., Amaro, M.: Improvements to efficient retrieval of very large temporal datasets with the TravelLight method. In: IEEE Conference (CISTI 2014), 18–21 June 2014, pp. 505–511 Carvalho, A., Amaro, M.: Improvements to efficient retrieval of very large temporal datasets with the TravelLight method. In: IEEE Conference (CISTI 2014), 18–21 June 2014, pp. 505–511
6.
go back to reference Date, C.J., Lorentzos, N., Darwen, H.: Time and Relational Theory: Temporal Databases in the Relational Model and SQL. Morgan Kaufmann, Burlington (2015) Date, C.J., Lorentzos, N., Darwen, H.: Time and Relational Theory: Temporal Databases in the Relational Model and SQL. Morgan Kaufmann, Burlington (2015)
7.
go back to reference Erlandsson, M., et al.: Spatial and temporal variations of base cation release from chemical weathering a hisscope scale. Chem. Geol. 441, 1–13 (2016)CrossRef Erlandsson, M., et al.: Spatial and temporal variations of base cation release from chemical weathering a hisscope scale. Chem. Geol. 441, 1–13 (2016)CrossRef
8.
go back to reference Ji, Y., et al.: A functional temporal association mining approach for screening potential drug–drug interactions from electronic patient databases. Inform. Health Soc. Care 41(4), 387–404 (2016)CrossRef Ji, Y., et al.: A functional temporal association mining approach for screening potential drug–drug interactions from electronic patient databases. Inform. Health Soc. Care 41(4), 387–404 (2016)CrossRef
10.
go back to reference Johnston, T.: Bi-temporal data—Theory and Practice. Morgan Kaufmann, Burlington (2014) Johnston, T.: Bi-temporal data—Theory and Practice. Morgan Kaufmann, Burlington (2014)
11.
go back to reference Johnston, T., Weis, R.: Managing Time in Relational Databases. Morgan Kaufmann, Burlington (2010) Johnston, T., Weis, R.: Managing Time in Relational Databases. Morgan Kaufmann, Burlington (2010)
12.
go back to reference Kadir, A., Adnan, N.: Temporal geospatial analysis of secondary school students’ examination performance. In: IOP Conference Series: Earth and Environmental Science, vol. 37, No. 1 (2016) Kadir, A., Adnan, N.: Temporal geospatial analysis of secondary school students’ examination performance. In: IOP Conference Series: Earth and Environmental Science, vol. 37, No. 1 (2016)
13.
go back to reference Kvet, M., Matiaško, K.: Management of temporal system. Int. J. New Archit. Appl. 3(3), 70–80 (2013) Kvet, M., Matiaško, K.: Management of temporal system. Int. J. New Archit. Appl. 3(3), 70–80 (2013)
14.
go back to reference Kvet, M., Matiaško, K.: Transaction management in temporal system. In: IEEE Conference (CISTI 2014), 18–21 June 2014, pp. 868–873 Kvet, M., Matiaško, K.: Transaction management in temporal system. In: IEEE Conference (CISTI 2014), 18–21 June 2014, pp. 868–873
15.
go back to reference Kvet, M., Matiaško, K.: Uni-temporal modelling extension at the object vs. attribute level. In: IEEE conference UKSim, 20–22 June 2014, pp. 868–873 Kvet, M., Matiaško, K.: Uni-temporal modelling extension at the object vs. attribute level. In: IEEE conference UKSim, 20–22 June 2014, pp. 868–873
16.
go back to reference Kvet, M., Matiaško, K.: Transaction management in fully temporal system. In: IEEE Conference UKSim, 26–28 March 2014, pp. 147–152 Kvet, M., Matiaško, K.: Transaction management in fully temporal system. In: IEEE Conference UKSim, 26–28 March 2014, pp. 147–152
17.
go back to reference Kuhn, D., Alapati, S., Padfield, B.: Expert Oracle Indexing Access Paths. Apress, Berkeley (2016)CrossRef Kuhn, D., Alapati, S., Padfield, B.: Expert Oracle Indexing Access Paths. Apress, Berkeley (2016)CrossRef
18.
go back to reference Li, S., Qin, Z., Song, H.: A temporal-spatial method for group detection, locating and tracking. IEEE Access 4, 4484–4494 (2016)CrossRef Li, S., Qin, Z., Song, H.: A temporal-spatial method for group detection, locating and tracking. IEEE Access 4, 4484–4494 (2016)CrossRef
19.
go back to reference Li, Y., et al.: Spatial and temporal distribution of novel species in China. Chin. J. Ecol. 35(7), 1684–1690 (2016) Li, Y., et al.: Spatial and temporal distribution of novel species in China. Chin. J. Ecol. 35(7), 1684–1690 (2016)
20.
go back to reference Suarez, E., et al.: Reconstruction of neural activity from EEG data using spatiotemporal constraints. Int. J. Neural Syst. 26(7), 1650026 (2016)CrossRef Suarez, E., et al.: Reconstruction of neural activity from EEG data using spatiotemporal constraints. Int. J. Neural Syst. 26(7), 1650026 (2016)CrossRef
21.
go back to reference Tuzhilin, A.: Using Temporal Logic and Datalog to Query Databases Evolving in Time. Forgotten Books, London (2016) Tuzhilin, A.: Using Temporal Logic and Datalog to Query Databases Evolving in Time. Forgotten Books, London (2016)
22.
go back to reference Yu, Z., et al.: Spatio-temporal constrained human trajectory generation from the PIR motion detector sensor network data: a geometric algebra approach. Sensors 16(1), 43 (2016)CrossRef Yu, Z., et al.: Spatio-temporal constrained human trajectory generation from the PIR motion detector sensor network data: a geometric algebra approach. Sensors 16(1), 43 (2016)CrossRef
Metadata
Title
Temporal transaction integrity constraints management
Authors
Michal Kvet
Karol Matiaško
Publication date
21-01-2017
Publisher
Springer US
Published in
Cluster Computing / Issue 1/2017
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-0740-8

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