恶意环境下基于副本投票的数据收集系统的自主管理

K. Ravindran, Arun Adiththan, M. Rabby, Jinu Jose
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引用次数: 5

摘要

我们描述了一种基于模型的基于副本投票的数据收集系统的QoS管理方法。复制数据采集设备之间的投票实现了在恶意设备破坏数据和无线数据路径的安全和带宽攻击等敌对环境下向最终用户可信的数据传输。一个准确的数据能否及时地传递给用户,反映了数据采集系统的QoS。在投票系统计算模型的辅助下,情境评估模块根据感知到的外部事件对投票系统核心进行宏观控制。我们的目标是在实现可接受的QoS的同时实现系统资源的最佳使用。本文描述了根据动态变化的QoS需求和环境条件,自主控制设备复制程度和/或算法参数(如无线带宽分配)的管理方法。我们的管理方法在不同的系统之间是可重用的,这降低了开发这种复杂系统的软件成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomic Management of Replica Voting based Data Collection Systems in Malicious Environments
We describe a model-based approach to QoS management in a replica voting based data collection system. The voting among replicated data collection devices achieves trusted data delivery to the end-user in a hostile environment: such as data corruptions by malicious devices and security & bandwidth attacks on the wireless data paths. How often an accurate data is delivered to the user in a timely manner depicts the QoS of data collection system. Aided by a computational model of the voting system, a situational assessment module macroscopically controls the voting system core based on the sensed external events. Our goal is the optimal use of system resources while enforcing an acceptable QoS. The paper describes the management methods for autonomic control of the degree of device replication and/or the algorithmic parameters (e.g., wireless bandwidth allocation) in response to the dynamically changing QoS needs and environment conditions. Our management methods are reusable across different systems, which lowers the software costs in the development of such complex systems.
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