EAGER: Autonomic Computing Systems and Wireless Networking

EAGER：自主计算系统和无线网络这个探索性的建议解决了一些自主分布式系统的算法问题，并探讨了其适用性的大规模无线网络的自我管理。自主系统模仿人体的自主神经系统，在没有意识的智能控制的情况下调节稳态功能，并为大规模复杂的异构系统中的自我管理提供便利。该提案认为，随着无线网络和认知无线电的快速增长，加上对无缝无处不在服务的需求，自主计算面临着有趣的挑战和机遇。它研究了各种算法的自我管理，并说明了它们在大型无线网络提供无处不在的服务的适用性。这些方法包括稳定无线网络中的流应用程序，稳定包含自私代理的分布式应用程序，以及设计优雅的可降解系统。它还研究了新的范例的人口协议，有可能产生周围的知识在一个透明的方式在一个系统中的被动移动的代理通过公平的相互encountering.The智力的优点的建议依赖于开发新的基础工具和技术的自主管理的大型分布式系统，是自稳定和自组织，涉及节点的移动性和资源约束。自主分布式系统管理的拟议研究被认为具有潜在的变革性，因为它可能会促进下一代无线网络的发展，并提高安全关键应用的可靠性，这些应用将在不久的将来实现革命性的增长。更广泛的影响包括无线网络的应用，从而提高安全性和安全性，从而提高性能的可预测性，更少的干扰和更好的可预测性，无论是在医院、机场、战场还是高速公路上。PI将把研究结果带到课堂，并纳入课程，这将成为所有研究生，包括妇女和少数民族的访问。这项研究的结果将通过在适当的会议和期刊上发表的出版物加以传播。PI在近二十年的自我管理系统设计方面拥有公认的专业知识和成功的记录。

EAGER: Autonomic Computing Systems and Wireless NetworkingThis exploratory proposal addresses some of the algorithmic issues of autonomic distributed systems, and explores its applicability to the self-management of large-scale wireless networks. An autonomic system mimics the human body's autonomic nervous system that regulates homeostatic functions without conscious intelligent control, and provides facilities for self-management in large-scale complex heterogeneous systems. The proposal argues that with the rapid growth of wireless networking and cognitive radios, combined with the demand for seamless ubiquitous services, autonomic computing faces interesting challenges and opportunities. It examines various algorithms for self-management, and illustrates their applicability in the large wireless networks providing ubiquitous services. These include methods of stabilizing streaming applications in a wireless network, stabilization of distributed applications containing selfish agents, and designing gracefully degradable systems. It also studies the new paradigm of population protocols that has the potential to generate ambient knowledge in a transparent way in a system of passively mobile agents via fair mutual encounters.The intellectual merit of the proposal rests on the development of novel foundational tools and techniques for the autonomic management of large distributed systems that are self-stabilized and self-organized and involve node mobility and resource constraints. The proposed research in autonomic distributed systems management is envisioned as potentially transformative as it is likely to boost the growth of next generation wireless networks and the dependability of safety-critical applications that are slated for revolutionary growth in the near future.The broader Impacts encompass applications of wireless networking leading to increased safety and security leading to more predictable performances, fewer interruptions and better predictability, be it in hospitals, airports, battlefields or highways. The PI will bring the research findings to the classroom and integrate into course curricula, that will become accessible to all graduate students including women and minorities. Results of this research will be disseminated through publications in appropriate conferences and journals. The PI has proven expertise and successful track record in the design of self-managing systems for nearly two decades.