A coral-reefs and Game Theory-based approach for optimizing elastic cloud resource allocation

作者：Ficco Massimo^*; Esposito Christian; Palmieri Francesco; Castiglione Aniello

来源：Future Generation Computer Systems-The International Journal of eScience, 2018, 78: 343-352.

DOI：10.1016/j.future.2016.05.025

• Cloud computing
• Elasticity
• Live-migration
• Coral-reefs optimization
• Game Theory
• Fuzzy linguistic SLA

Elasticity is a key feature in cloud computing, which distinguishes this paradigm from other ones, such as cluster and grid computing. On the other hand, dynamic resource reallocation is one of the most important and complex issues in cloud scenarios, which can be expressed as a multi-objective optimization problem with the opposing objectives of maximizing demand satisfaction and minimizing costs and resource consumptions. In this paper, we propose a meta-heuristic approach for cloud resource allocation based on the bio-inspired coral-reefs optimization paradigm to model cloud elasticity in a cloud-data center, and on the classic Game Theory to optimize the resource reallocation schema with respect to cloud provider's optimization objectives, as well as customer requirements, expressed through Service Level Agreements formalized by using a fuzzy linguistic method.

• 出版日期2018-1