99 research outputs found

    A Graphical Conceptual Model for Conventional and Time-varying JSON Data

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    Today, although there is an increasing interest in temporal JSON instance documents, since they allow tracking data changes, recovering past data versions, and executing temporal queries, there is no support (data model, modelling language, method, or tool) for conceptual modelling of temporal JSON data. Moreover, even though there are some graphical editors to build JSON Schemata (like JSON Schema Editor of Altova), they do not provide any built-in support for modelling temporal aspects of JSON data. Therefore, designers of JSON-based NoSQL data stores are proceeding in an ad hoc manner when they have to model some temporal requirements. To fill this theoretical and practical gap, we propose in this paper a graphical conceptual model for time-varying JSON data, named Temporal JSON Conceptual Model (TempoJCM). To this purpose, first we define a graphical conceptual model for conventional (i.e., non temporal) JSON data, called JSON Conceptual Model (JCM), and then we extend it to support modelling of temporal aspects of JSON data. TempoJCM facilitates conceptual modelling of both conventional and temporal JSON data, in a graphical and user-friendly manner. An editor supporting TempoJCM is planned to become the user interface for temporal JSON schema design in the tauJSchema framework

    A Graphical Conceptual Model for Conventional and Time-varying JSON Data

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    Abstract Today, although there is an increasing interest in temporal JSON instance documents, since they allow tracking data changes, recovering past data versions, and executing temporal queries, there is no support (data model, modelling language, method, or tool) for conceptual modelling of temporal JSON data. Moreover, even though there are some graphical editors to build JSON Schemata (like JSON Schema Editor of Altova), they do not provide any built-in support for modelling temporal aspects of JSON data. Therefore, designers of JSON-based NoSQL data stores are proceeding in an ad hoc manner when they have to model some temporal requirements. To fill this theoretical and practical gap, we propose in this paper a graphical conceptual model for time-varying JSON data, named Temporal JSON Conceptual Model (TempoJCM). To this purpose, first we define a graphical conceptual model for conventional (i.e., non temporal) JSON data, called JSON Conceptual Model (JCM), and then we extend it to support modelling of temporal aspects of JSON data. TempoJCM facilitates conceptual modelling of both conventional and temporal JSON data, in a graphical and user-friendly manner. An editor supporting TempoJCM is planned to become the user interface for temporal JSON schema design in the τJSchema framework

    tauJUpdate: A Temporal Update Language for JSON Data

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    Time-varying JSON data are being used and exchanged in various today's application frameworks like IoT platforms, Web services, cloud computing, online social networks, and mobile systems. However, in the state-of-the-art of JSON data management, there is neither a consensual nor a standard language for updating (i.e., inserting, modifying, and deleting) temporal JSON data, like the TSQL2 or SQL:2016 language for temporal relational data. Moreover, existing JSON-based NoSQL DBMSs (e.g., MongoDB, Couchbase, CouchDB, OrientDB, and Riak) and both commercial DBMSs (e.g., IBM DB2 12, Oracle 19c, and MS SQL Server 2019) and open-source ones (e.g., PostgreSQL 15, and MySQL 8.0) do not provide any support for maintaining temporal JSON data. Also in our previously proposed temporal JSON framework, called tauJSchema, there was no feature for temporal JSON instance update. For these reasons, we propose in this paper a temporal update language, named tauJUpdate (Temporal JUpdate), for JSON data in the tauJSchema environment. We define it as a temporal extension of our previously introduced non-temporal JSON update language, named JUpdate (JSON Update). Both the syntax and the semantics of the data modification operations of JUpdate have been extended to support temporal aspects. tauJUpdate allows (i) to specify temporal JSON updates in a user-friendly manner, and (ii) to efficiently execute them

    Addressing inter-organisational process flexibility using versions: The VP2M approach

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    Process flexibility has been investigated in depth in the context of intra-organisational processes, but it is still an open issue when processes cross the boundaries of companies. In this paper, we address the modelling of flexible inter-organisational processes using a version-based approach. Indeed, versions are known to be a powerful technique to deal with variability, evolution and adaptation of processes, which are the three main needs of process flexibility. More precisely, this paper presents VP2M (Version of Process Meta-Model), a meta-model supporting the modelling of versions of inter-organisational processes, addressing both static and dynamic aspects of VP2M. It also illustrates process version modelling within the Subsea Pipeline process example

    Modelling Flexible Collaborative Process: The VCP2M Approach

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    This paper addresses the collaborative processes flexibility issue, which is an important issue in Business Process (BP) Management. Indeed, the strong competition in which organizations are involved lead them to frequently change and adapt their collaborative processes to face new client requirements or to benefit from new collaboration opportunities. More precisely, this paper proposes to adopt a version-based approach to support the modelling of flexible collaborative processes. First it introduces the VBP2M meta-model (Version of BP meta-model) supporting the modelling of flexible internal (i.e., intra-organizational) processes, and then explains how to extend it to define the VCP2M meta-model (Version of Collaborative Processes meta-model) to design flexible collaborative processes, which correspond to processes crossing the boundaries of companies. A specific case study illustrates the modelling of collaborative process versions as instances of VCP2M

    Addressing inter-organisational process flexibility using versions: The VP2M approach

    Get PDF
    Process flexibility has been investigated in depth in the context of intra-organisational processes, but it is still an open issue when processes cross the boundaries of companies. In this paper, we address the modelling of flexible inter-organisational processes using a version-based approach. Indeed, versions are known to be a powerful technique to deal with variability, evolution and adaptation of processes, which are the three main needs of process flexibility. More precisely, this paper presents VP2M (Version of Process Meta-Model), a meta-model supporting the modelling of versions of inter-organisational processes, addressing both static and dynamic aspects of VP2M. It also illustrates process version modelling within the Subsea Pipeline process example

    A Version-based Approach to Address Flexibility of BPMN Collaborations and Choreographies

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    Process flexibility is an important issue in the business process management area: it has mainly been investigated in the context of intra-organisational processes but it received little attention in the context of processes crossing the boundaries of companies. This paper addresses the issue of BPMN collaborations and choreographies flexibility, advocating a version-based approach. Indeed versions, which have been recognised as a powerful mechanism to face flexibility of internal processes of companies, are used to address flexibility of processes crossing the boundaries of companies, modelled as collaborations or choreographies in BPMN. Thus this paper extends BPMN collaborations using versions. It also introduces algorithms supporting the mapping from versions of collaborations into versions of choreographies. This paper mainly focuses on static aspects of collaboration and choreography versioning

    An Unequal Cluster-based Routing Protocol Based on Data Controlling for Wireless Sensor Network

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    Wireless Sensor Networks (WSN) differ from traditional wireless communication networks in several characteristics. One of these characteristics is power awarness, due to the fact that the batteries of sensor nodes have a restricted lifetime and are difficult to be replaced. Therefore, all protocols must be designed to minimize energy consumption and preserve the longevity of the network. In this paper, we propose (i) to fairly balance the load among nodes. For this, we generate an unequal clusters size where the cluster heads (CH) election is based on energy availability, (ii) to reduce the energy consumption due to the transmission by using multiple metrics in the CH jointure process and taking into account the link cost, residual energy and number of cluster members to construct the routing tree and (iii) to minimize the number of transmissions by avoiding the unnecessary updates using sensitive data controller. Simulation results show that our Advanced Energy-Efficient Unequal Clustering (AEEUC) mechanism improves the fairness energy consumption among all sensor nodes and achieves an obvious improvement on the network lifetime
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