In previous work, we have proposed the use of a framework, named tauJSchema (temporal JSON schema), for the definition and validation of temporal JSON documents that conform to a temporal JSON schema. A tauJSchema schema is composed of a conventional (i.e., non-temporal) JSON schema, annotated with a set of temporal logical and temporal physical characteristics. Subsequently, we have extended tauJSchema to support versioning of conventional JSON schemas. In this work, we complete the picture by extending our framework to also support versioning of temporal characteristics. In fact, we propose a suitable versioning technique and provide a complete set of low-level change operations for the maintenance of these characteristics; for each operation, we define its arguments and its operational semantics. With this extension, tauJSchema provides a full support of temporal versioning of JSON-based Big Data at both instance and schema levels.

Brahmia, S., Brahmia, Z., Grandi, F., Bouaziz, R. (2021). Versioning Temporal Characteristics of JSON-based Big Data via the τJSchema Framework. INTERNATIONAL JOURNAL OF CLOUD COMPUTING, 10(5-6), 406-441 [10.1504/IJCC.2021.120387].

Versioning Temporal Characteristics of JSON-based Big Data via the τJSchema Framework

Grandi, Fabio;
2021

Abstract

In previous work, we have proposed the use of a framework, named tauJSchema (temporal JSON schema), for the definition and validation of temporal JSON documents that conform to a temporal JSON schema. A tauJSchema schema is composed of a conventional (i.e., non-temporal) JSON schema, annotated with a set of temporal logical and temporal physical characteristics. Subsequently, we have extended tauJSchema to support versioning of conventional JSON schemas. In this work, we complete the picture by extending our framework to also support versioning of temporal characteristics. In fact, we propose a suitable versioning technique and provide a complete set of low-level change operations for the maintenance of these characteristics; for each operation, we define its arguments and its operational semantics. With this extension, tauJSchema provides a full support of temporal versioning of JSON-based Big Data at both instance and schema levels.
2021
Brahmia, S., Brahmia, Z., Grandi, F., Bouaziz, R. (2021). Versioning Temporal Characteristics of JSON-based Big Data via the τJSchema Framework. INTERNATIONAL JOURNAL OF CLOUD COMPUTING, 10(5-6), 406-441 [10.1504/IJCC.2021.120387].
Brahmia, Safa; Brahmia, Zouhaier; Grandi, Fabio; Bouaziz, Rafik
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/859447
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