Service composition oriented self-management for autonomic networks

信息和通信技术的未来使用将在新的使用领域、新的服务提供方式、新的用户行为模式以及服务与人类和设备的日常活动之间的新依赖性方面塑造新的服务格局。服务的预期增长并没有得到当前一代网络的很好支持，这些网络主要是应用或服务不可知的。为了有效地支持这种发展，需要对自主网络和网络管理的新的网络支持。因此，自主网络被认为是最终的解决方案，其中网络自主地监控其性能，识别潜在的问题，计划解决方案，并执行纠正措施。该项目的长期目标是探索基本的自主网络原则，并开发导致自组织，自管理，自诊断和自我修复的固有功能。这些self* 特性还意味着节点可以在没有用户干预的情况下自关联到网络，并且应用程序可以自发现可用的网络服务。该项目将侧重于三个关键的研究挑战，第一，开发和实施一个自主网络架构，增加必要的构件和自主组件;第二，设计和实现了一个网络知识库系统，用于模型表示、收集和向自治组件和元件传播知识;第三，开发了自治管理功能，即自配置、自监控，自我修复

Future use of information and communications technology will shape a new service landscape, in terms of new areas of usage, new ways of service provisioning, new user behavior patterns as well as new dependencies between services and the everyday activities of humans and devices. The expected growth in services is not well supported by the current generation of networks, which are mainly application or service agnostic. New network support for autonomic networks and network management is needed to efficiently support this development. Autonomic networks are therefore envisaged to be the ultimate solutions where networks autonomously monitor their performance identify potential problems plan solutions, and perform corrective actions. The long-term objective of this project is to explore fundamental autonomic networking principles and develop the inherent functionality that leads to self-organizing, self-management, self-diagnosis and self-healing. These self* features also imply that nodes can self-associate to the network without user intervention, and that applications self-discover available network services. The project will focus on three key research challenges, first the development and implementation of an autonomic network architecture augmented with the necessary building blocks and autonomic components; second the design and implementation of a network knowledge base system to model represent, collect, disseminate knowledge to the autonomic components and elements, and third the development of Self-management features that are self-configuration, self-monitoring, and self-healing.