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Development and Evaluation of a hierarchical artificial hormone system for task allocation in large scaled distributed systems (HiKüHoS).

用于大规模分布式系统（HiKüHoS）中任务分配的分层人工激素系统的开发和评估。

基本信息

批准号：
224969246
负责人：
Professor Dr. Uwe Brinkschulte
金额：
--
依托单位：
Lehrstuhl für Eingebettete Systeme
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2012
资助国家：
德国
起止时间：
2011-12-31 至 2021-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/224969246?language=en
关键词：
Development Evaluation hierarchical artificial hormone

项目摘要

The artificial hormone system (AHS) is a flexible, robust and real-time capable concept for the task allocation in a distributed system. It fulfills the properties of Self-Configuration, Self-Optimization and Self-Healing. Thereby it is capable of an autonomous operation and eases the configuration and maintenance of the system by its developer or user. The aim of the HiKüHos project is to realize the properties of the AHS in large scaled distributed systems (i.e. 10000 processing elements). In the first two project years we researched and developed the fundamental concepts and techniques of the HiKüHos project. Based on the findings and experiences of those first two years, we want to continue our research and bring the project to a successful end. First of all, the remaining work packages of the already initially requesetd but not yet granted third project year shall be completed (detailed comparative evaluation, usability in a real application). Furthermore, a new idea we developed in the first two project years is to expand the idea of hierarchy to a recursive multistage topology. Such topologies can be found for example in networked buildings (factory, smart home) up to smart cities. A recursive multistage artificial hormone system can be realized by extendingg the well-known AHS. Within a hierachy level, task distribuition will be handled by several horizontal AHS. To manage the task allocation between the adjacent levels, a vertical AHS will be introduced. This concept supports many different topologies and reduces the communication load. The applicant is convinced that continuing the research work in the HiKüHoS project will substantially contribute to research in the field of robust, real-time-capable task allocation with self-X properties.

人工激素系统（AHS）是一个灵活的，鲁棒的和实时的分布式系统中的任务分配能力的概念。它具有自配置、自优化和自修复的特性。因此，它能够自主操作，并简化了系统的开发者或用户对系统的配置和维护。HiKüHos项目的目标是在大型分布式系统（即10000个处理单元）中实现AHS的属性。在项目的前两年，我们研究和开发了HiKüHos项目的基本概念和技术。基于前两年的发现和经验，我们希望继续我们的研究，并使该项目取得成功。首先，应完成第三个项目年已初步申请但尚未批准的剩余工作包（详细的比较评估，真实的应用中的可用性）。此外，我们在项目的前两年开发的一个新想法是将层次结构的思想扩展到递归多级拓扑结构。这样的拓扑结构可以在例如联网的建筑物（工厂，智能家居）到智能城市中找到。通过对AHS的扩展，可以实现递归多级人工激素系统。在一个层次内，任务分配将由几个水平的AHS处理。为了管理相邻级别之间的任务分配，将引入垂直AHS。此概念支持许多不同的拓扑结构，并减少了通信负载。申请人相信，继续HiKüHoS项目的研究工作将大大有助于具有self-X属性的鲁棒实时任务分配领域的研究。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

An Artificial DNA for Self-Descripting and Self-Building Embedded Real-Time Systems

用于自描述和自构建嵌入式实时系统的人工 DNA

DOI：
10.1002/cpe.3460
发表时间：
2015
期刊：
2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing
影响因子：
0
作者：
Brinkschulte
通讯作者：
Brinkschulte

Development and Evaluation of Hierarchical Artificial Hormone Systems

分层人工激素系统的开发和评估

DOI：
10.1109/isorc.2016.11
发表时间：
2016
期刊：
2016 IEEE 19th International Symposium on Real-Time Distributed Computing (ISORC)
影响因子：
0
作者：
Pacher;Mathias ;Andreas ;Brinkschulte
通讯作者：
Brinkschulte

Two‐level extensions of an artificial hormone system

人工激素系统的两级扩展