Trust-Enabling Middleware (TEM)

信任启用中间件 (TEM)

• 批准号: 115487712
• 负责人: Professor Dr. Theo Ungerer
• 金额: --
• 依托单位: Lehrstuhl für Systemnahe Informatik und Kommunikationssysteme
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2009
• 资助国家: 德国
• 起止时间: 2008-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/115487712?language=en
• 关键词: Trust; Enabling; Middleware; TEM

The overall objectives of the project are to enhance the self-x properties of an organic computing middleware (self-configuration, self-optimization, and self-healing) with trust and to protect the trust metrics itself against threats (self-protection). The basic self-x algorithms of a current organic computing middleware are based on the cooperation of autonomic components assuming that the components can "trust" each other. The dynamic nature of an OC system, however, may lead to unpredictable changes of the system configuration by newly added, failed or soon failing components. It is the target of this research project to develop trust metrics to improve the self-x algorithms of the Organic Computing Middleware OCµ that was developed in the DFG priority program 1183 "Organic Computing". Important services should be executed preferably on reliable nodes resulting in a more robust system that is able to handle unreliable components. Trust metrics (direct trust, reputation, and the combination of both) were developed in the first two project phases. The metrics will be applied to self-configuration and self-optimization until the end of the second phase. The increase of robustness will be evaluated and the developed techniques built into the Trust-Enabling Middleware (TEM), which is the middleware used by all other researchers of the research group.The third phase targets trust-improved self-healing as well as self-protection algorithms. Selfhealing will be regarded in two steps: proactive and reactive. In the proactive step an upcoming node failure should be predicted and trigger a reconfiguration based on the developed selfconfiguration algorithms before the failure takes place. In the second step, when a node failure is reported, the concerned services will be automatically restarted on other nodes. In case of restart, the trust metrics will be used for a robust execution of the important services. Because self-x properties are now based on trust, the metrics themselves will be protected against attacks (selfprotection).As additional objective, metrics should be enabled to handle hierarchical systems as well which requires an adaption of the currently used metrics. Moreover the problem of contradictory metrics values will be investigated. Locality effects (e.g. a wall between two nodes) could result in different trust values of two nodes about the same third node and yield conflicting reactions of the self-x mechanisms. The trust enhanced self-x properties will again be implemented in the Trust-Enabling Middleware (TEM) and made available as open source software at the end of the project.

该项目的总体目标是通过信任增强有机计算中间件的自属性（自配置、自优化和自修复），并保护信任度量本身免受威胁（自我保护）。当前有机计算中间件的基本self-x算法是基于自治组件之间的合作，假设组件之间可以相互“信任”。但是，OC系统的动态特性可能会导致新添加的、失败的或即将失败的组件对系统配置造成不可预测的变化。本研究项目的目标是开发信任指标，以改进DFG优先级计划1183“有机计算”中开发的有机计算中间件OCµ的自x算法。重要的服务应该最好在可靠的节点上执行，从而产生一个更健壮的系统，能够处理不可靠的组件。信任度量（直接信任、声誉以及两者的结合）是在项目的前两个阶段开发的。这些指标将被应用于自配置和自优化，直到第二阶段结束。将对鲁棒性的提高进行评估，并将开发的技术构建到启用信任中间件（TEM）中，该中间件是研究小组所有其他研究人员使用的中间件。第三阶段的目标是改进信任的自我修复和自我保护算法。自我修复分为两个步骤：主动和被动。在主动步骤中，应该预测即将到来的节点故障，并在故障发生之前基于开发的自配置算法触发重新配置。在第二步中，当报告节点故障时，将自动在其他节点上重新启动相关服务。在重新启动的情况下，信任指标将用于重要服务的健壮执行。因为self-x属性现在是基于信任的，所以度量本身将受到保护以防止攻击（自我保护）。作为附加目标，度量标准也应该能够处理分层系统，这需要对当前使用的度量标准进行调整。此外，还研究了度量值矛盾的问题。局部性效应（例如，两个节点之间存在一堵墙）可能导致两个节点对同一第三个节点的信任值不同，从而产生自x机制的冲突反应。增强信任的self-x属性将再次在信任启用中间件（trust - enabling Middleware， TEM）中实现，并在项目结束时作为开源软件提供。