Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4960806 | Procedia Computer Science | 2017 | 8 Pages |
Abstract
The performance evaluation of an agent platform is central in the agent-based modeling field. The agent platform and the hardware as well as the operating system modules, including any virtual machines, influence this performance. The impact of these hardware and operating system modules should be understood and evaluated due to their high impact on the global performances. In order to evaluate these two components, this paper proposes the scoring approach, named SARL Experience Index. The score is based on CPU, memory and disk sub-scores. We advocate this score may be helpful for the agent platform users for determining quickly the positive or negative impacts of a new deployment platform for an agent framework.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Stéphane Galland, Ansar-Ul-Haque Yasar, Elhadi Shakshuki, Nicolas Gaud,