Distributed Systems based on Complex Adaptive Systems

基于复杂自适应系统的分布式系统

• 批准号: DDG-2015-00005
• 负责人: Camorlinga, Sergio
• 金额: $ 0.73万
• 依托单位: University of Winnipeg
• 依托单位国家: 加拿大
• 项目类别: Discovery Development Grant
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=612410
• 关键词: Distributed; Systems; based; Complex; Adaptive

Complex Adaptive Systems (CAS) are special cases of complex systems. CAS are made up of many elements that communicate and exchange information. The interrelationship among CAS elements creates system properties that emerge out of the elements' activities. CAS exist everywhere; we find them in biological, economic, social, neurological, and ecological realms among others. Furthermore, computer systems design currently faces ever increasing complexity of the large number, interdependencies and heterogeneity of systems components. The increase in computer systems complexity requires innovative methodology to achieve scalable and adaptable computing for highly dynamic contexts. Previously we proposed a new computing paradigm for computer systems research called the Emergent Thinker. The Emergent Thinker is based on CAS domains that work isolated from each other logically but are physically located in the same environment. CAS domains provide emergent functional services. An emergent functional service is equivalent to a system call of operating systems but at a higher abstract level, since the emergent functional service is provided by the synergy of the CAS elements’ activities. This program develops further research to formalize previous seminal work in the Emergent Thinker paradigm. Novel methodology will be researched and developed to define local CAS element properties and interactions to predict the emergent outcomes and their respective performance metrics. Mechanisms and processes that occur in CAS will be defined for a variety of arrangements. This innovative methodology will provide the building blocks for an emergent computing machine. The emergent computing machine will provide a novel distributed systems approach to achieve scalable and adaptable computing for highly dynamic contexts. Four graduate and three undergraduate students HQP (Highly Qualified Personnel) will be trained and prepared for careers in computer systems research including distributed systems, systems integration, information systems and applied computing research. The HQP will also be capable of continuing onto graduate studies. There is a current need for interdisciplinary personnel who can research novel techniques in distributed systems and apply them to other realms. Our research targets this challenge and produces HQP that can satisfy these needs. Our research into the emergent computing machine will provide an innovative framework for quantifying what emerges out of the activities of CAS elements and their dynamics as well as how they interact to give rise to robust distributed computing capabilities. The proposed research will provide innovative methodology to improve distributed systems design. The research outcomes will advance and have an impact on the computer systems research field with new approaches to achieve innovative distributed computing systems.

复杂适应系统（CAS）是复杂系统的特殊情况。CAS由许多通信和交换信息的元素组成。CAS元素之间的相互关系创建了从元素活动中出现的系统属性。CAS无处不在;我们在生物学、经济学、社会学、神经学和生态学等领域都发现了它们。此外，计算机系统设计目前面临着系统组件的大量、相互依赖性和异构性的日益增加的复杂性。计算机系统复杂性的增加需要创新的方法来实现高度动态上下文的可扩展和自适应计算。在此之前，我们提出了一种新的计算机系统研究的计算范式，称为涌现思想者。Emergent Thinker基于CAS域，这些域在逻辑上相互隔离，但在物理上位于同一环境中。CAS域提供紧急功能服务。紧急功能服务相当于操作系统的系统调用，但在更高的抽象级别上，因为紧急功能服务是由CAS元素活动的协同作用提供的。该计划进一步发展研究，以正式确定以前的开创性工作的涌现思想家范式。将研究和开发新的方法来定义本地CAS元素属性和相互作用，以预测紧急结果及其各自的性能指标。CAS中发生的机制和过程将被定义为各种安排。这种创新的方法将提供一个新兴的计算机器的积木。涌现计算机器将提供一种新的分布式系统方法，以实现高度动态上下文的可扩展和自适应计算。四名研究生和三名本科生HQP（高素质人员）将接受培训，并准备从事计算机系统研究，包括分布式系统，系统集成，信息系统和应用计算研究。HQP也将能够继续研究生学习。目前需要跨学科的人才，他们可以在分布式系统中研究新技术并将其应用到其他领域。我们的研究针对这一挑战，并产生能够满足这些需求的HQP。我们对新兴计算机器的研究将提供一个创新的框架，用于量化CAS元素及其动态活动中出现的内容，以及它们如何相互作用以产生强大的分布式计算能力。建议的研究将提供创新的方法，以改善分布式系统的设计。研究成果将推动和影响计算机系统研究领域的新方法，以实现创新的分布式计算系统。