Formalizing and simulating cross-layer elasticity strategies in Cloud systems

Autor: Nabil Hameurlain, Faiza Belala, Khaled Khebbeb
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]
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Cluster Computing
Cluster Computing, Springer Verlag, 2020, ⟨10.1007/s10586-020-03080-8⟩
ISSN: 1386-7857
1573-7543
DOI: 10.1007/s10586-020-03080-8⟩
Popis: International audience; Clouds are complex systems that provide computing resources in an elastic way. Elasticity allows their adaptation to input workloads by (de)provisioning resources as the demand rises and drops. Given the numerous overlapping factors that impact their elasticity and the unpredictable nature of the workload, providing accurate action plans to manage Cloud elasticity is a particularly challenging task. In this paper, we propose a formal approach based on bigraphical reactive systems to model Cloud structures and their elastic behavior. We design cross-layer elasticity strategies which operate at application and infrastructure Cloud layers to manage the elastic adaptations. We encode the elastic behaviors in Rewriting logic, through the Maude framework, to enable their generic executability. We provide a qualitative verification of the designed behaviors’ correctness with a model-checking technique supported by the linear temporal logic. Finally, we provide a tooled simulation-based methodology, through the Queuing theory, to conduct a quantitative analysis of the designed elasticity strategies.
Databáze: OpenAIRE