A Multi-dimensional Hierarchical Model Methodology for Autonomic Computing System
Autonomic computing system is complex and expected to be self-managing. When designing autonomic computing system, we have to consider its special characteristics. To support the system design, collaborations, and semantic information understanding, this paper proposes a multi-dimensional hierarchical model methodology based on agent-oriented software engineering, to model the system from the design, organization and semantic dimensions. Design model adopts a hierarchical development method based on the component reusability. Organization model mainly study the relation web model to support complex collaborations. And semantic model make use of hierarchical ontology to support heterogeneous resource integration and policy conflicts resolution. The model methodology is efficient and systematic for complex system development.
multi-dimensional model agent-oriented software engineering autonomic computing system
Maoguang Wang Wenping Jiao Junjing Jie Tingxun Shi
Key Laboratory of High Confidence Software Technologies of Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
国际会议
厦门
英文
356-360
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）