1. Enabling Self-Configuration of QoC-Centric Fog Computing Entities
- Author
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Thierry Desprats, Pierrick Marie, Sophie Chabridon, Michelle Sibilla, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut Mines-Télécom (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Service IntEgration and netwoRk Administration (IRIT-SIERA), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier (UT3), Algorithmes, Composants, Modèles Et Services pour l'informatique répartie (ACMES-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Informatique (INF), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), and Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3)
- Subjects
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR] ,Internet of things ,Edge device ,Computer science ,media_common.quotation_subject ,Autonomic computing ,Système d'exploitation ,Réseaux et télécommunications ,Context (language use) ,02 engineering and technology ,[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,Resource (project management) ,Architectures Matérielles ,0202 electrical engineering, electronic engineering, information engineering ,Reconfigurability ,Quality (business) ,QoC management ,media_common ,business.industry ,Context-aware computing ,Quality of context ,Control reconfiguration ,020206 networking & telecommunications ,Systèmes embarqués ,Fog computing ,[INFO.INFO-ES]Computer Science [cs]/Embedded Systems ,020201 artificial intelligence & image processing ,[INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS] ,Enhanced Data Rates for GSM Evolution ,Self-reconfigurable entity ,business ,Computer network - Abstract
International audience; The advent of the Internet of Things (IoT) enables the development of new applications and context-aware services. However, for applications requiring a real-time consciousness of their environmental conditions, some additional mechanism is necessary. The paradigm of fog (or edge) computing is a promising candidate to meet this requirement by supporting the deployment at the network edge of entities for pre-processing the data produced by the IoT. Thus, the acquisition, filtering and processing (aggregation, fusion. . . ) of contextual data can be performed locally in real-time within software entities deployed on equipments of a fog. As context is central in the targeted applications, qualifying context information becomes essential. Meta-data may therefore be added including some quality criteria such as precision, freshness, completeness, for measuring the Quality of Context (QoC) information. QoC management must take place throughout the whole processing chain of context information, impacting the operations performed within the entities of the fog. Facing the potential physical limitations of the equipments at the network edge, this paper promotes declarative programming of processing entities able to qualify context information and self-reconfiguration. Thus, the parameters controlling the transformation and qualification operations may be adjusted based on the observation of resource usage. A prototype shows that the reconfiguration time does not exceed one second and remains within acceptable limits for the targeted applications. This solution offers an alternative to the principle of offloading code advocated by some works on Fog Computing
- Published
- 2016