A BRS Based Approach for Modeling Elastic Cloud Systems
| Autor: | Hamza Sahli, Khaled Khebbeb, Faiza Belala, Nabil Hameurlain |
|---|---|
| Přispěvatelé: | Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour (LIUPPA), Université de Pau et des Pays de l'Adour (UPPA), Laboratoire d'Informatique Répartie [Algérie] (LIRE), Université de Constantine 2 Abdelhamid Mehri [Constantine], LIRE laboratory, Constantine, University of Constantine |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Cloud systems Distributed computing Bigraph Provisioning Cloud computing [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE] 0102 computer and information sciences 02 engineering and technology ENCODE [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation 01 natural sciences [INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL] 010201 computation theory & mathematics 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] 020201 artificial intelligence & image processing business Reactive system Formal description Elastic cloud |
| Zdroj: | Service-Oriented Computing – ICSOC 2017 Workshops ISBN: 9783319917634 ICSOC Workshops Braubach L. et al. (eds) Service-Oriented Computing – ICSOC 2017 Workshops. ICSOC 2017. Lecture Notes in Computer Science, vol 10797. Springer, Cham Braubach L. et al. (eds) Service-Oriented Computing – ICSOC 2017 Workshops. ICSOC 2017. Lecture Notes in Computer Science, vol 10797. Springer, Cham, pp.5-17, 2018, ⟨10.1007/978-3-319-91764-1_1⟩ |
| DOI: | 10.1007/978-3-319-91764-1_1 |
| Popis: | International audience; Elastic behaviors enable Cloud Systems to auto-adapt to their incoming workloads, by provisioning and releasing computing resources, in a way to ensure a controlled compromise between performance and cost-saving requirements. However, due to the highly fluctuating workloads tendencies, it makes it difficult to predict how a cloud system would behave and to provide precise auto-adaptation action plans. In this paper, we propose a BRS (short for Bigraphical Reactive Systems) based approach to provide a formal description for cloud systems structures and their elastic behaviors using bigraphs and bigraphical reaction rules. In addition, elasticity strategies are introduced to encode cloud systems’ auto-adaptation policies. Proposed approach is illustrated and evaluated through an example. |
| Databáze: | OpenAIRE |
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