EAGER: Autonomic Computing Systems and Wireless Networking

EAGER：自主计算系统和无线网络

• 批准号: 0956780
• 负责人: Sukumar Ghosh
• 金额: $ 11.47万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0956780&HistoricalAwards=false
• 关键词: EAGER; Autonomic; Computing; Systems; Wireless

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.

EIGER：自主计算系统和无线网络这个探索性的方案解决了自主分布式系统的一些算法问题，并探索了它在大规模无线网络自我管理中的适用性。自主神经系统模拟人体自主神经系统，在没有有意识的智能控制的情况下调节体内平衡功能，并为大规模复杂异质系统的自我管理提供便利。提案认为，随着无线网络和认知无线电的快速增长，再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。它研究了各种自我管理算法，并说明了它们在提供无处不在服务的大型无线网络中的适用性。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，以及设计可优雅降级的系统。它还研究了种群协议的新范例，该范例有可能通过公平的相互遭遇在被动移动代理系统中以透明的方式产生环境知识。该提议的智力优势在于开发新的基础工具和技术来自主管理大型分布式系统，这些系统是自稳定和自组织的，涉及节点移动性和资源约束。拟议中的自主分布式系统管理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增长和安全关键应用程序的可靠性，这些应用程序预计将在不久的将来实现革命性增长。更广泛的影响包括无线网络应用程序，从而提高安全性和安全性，从而实现更可预测的性能、更少的中断和更好的可预测性，无论是在医院、机场、战场还是高速公路上。国际和平研究所将把研究成果带到课堂上，并纳入课程课程，所有研究生，包括妇女和少数族裔，都可以接触到这些课程。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来传播。近二十年来，私人投资公司在自我管理系统的设计方面拥有成熟的专业知识和成功的记录。