TITLE:
Subject Oriented Autonomic Cloud Data Center Networks Model
AUTHORS:
Hang Qin, Li Zhu
KEYWORDS:
Autonomic Cloud Computing, Autonomous Unit, Data Center, Self-Configuration, Service Description
JOURNAL NAME:
Journal of Data Analysis and Information Processing,
Vol.5 No.3,
July
25,
2017
ABSTRACT: This paper investigates autonomic cloud data center networks, which is the solution with the increasingly complex computing environment, in terms of the management and cost issues to meet users’ growing demand. The virtualized cloud networking is to provide a plethora of rich online applications, including self-configuration, self-healing, self-optimization and self-protection. In addition, we draw on the intelligent subject and multi-agent system, concerning system model, strategy, autonomic cloud computing, involving independent computing system development and implementation. Then, combining the architecture with the autonomous unit, we propose the MCDN (Model of Autonomic Cloud Data Center Networks). This model can define intelligent state, elaborate the composition structure, and complete life cycle. Finally, our proposed public infrastructure can be provided with the autonomous unit in the supported interaction model.