Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4942960 | Expert Systems with Applications | 2017 | 79 Pages |
Abstract
This paper introduces ElaClo, a framework for optimizing application topologies in a cloud environment. ElaClo's main contribution is in providing optimization in the software assembly phase from automatically extracted application models. ElaClo provides workload generation, monitoring, topology management, elasticity mechanisms, and algorithms to support the optimization process. We have implemented ElaClo as an expert tool and evaluated it on a real-life cloud application from the retailing business domain. ElaClo was used to select optimal topologies with regards to service response time objectives and infrastructure costs. The efficiency of the optimization process and the quality of optimization results were validated quantitatively on a set of optimization runs. Results demonstrate the effectiveness of the suggested framework in yielding optimal topologies.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Nikola TankoviÄ, Tihana Galinac Grbac, Mario Žagar,