Open AccessFormal modelling and verifying elasticity strategies in cloud systems
Author(s) -
Khebbeb Khaled,
Hameurlain Nabil,
Belala Faiza,
Sahli Hamza
Publication year - 2019
Publication title -
iet software
Language(s) - English
Resource type - Journals
ISSN - 1751-8814
DOI - 10.1049/iet-sen.2018.5030
Subject(s) - elasticity (physics) , cloud computing , computer science , correctness , workload , distributed computing , provisioning , operating system , programming language , materials science , composite material
Elasticity property allows cloud systems to adapt to their input workload by provisioning and deprovisioning resources as the demand grows and drops. However, due to the unpredictable nature of workload, providing accurate action plans to manage a cloud system's elasticity is a particularly challenging task. In this study, the authors propose a bigraphical reactive system‐based approach to provide a formal modelling of cloud systems’ structure using bigraphs , and their elastic behaviours using bigraphical reaction rules . They introduce elasticity strategies to describe cloud systems’ auto‐adaptation behaviours. One step further, they encode the bigraphical specifications into Maude language to enable an autonomic executability of the elastic behaviours and verify their correctness. Finally, they propose a queuing‐based approach to discuss and analyse elasticity strategies in cloud systems through different simulated scenarios.