通过任务分配和再分配实现性能控制传感器网络应用的使能设计

Atis Elsts, Farshid Hassani Bijarbooneh, M. Jacobsson, Konstantinos Sagonas
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引用次数: 1

摘要

任务图(ATaG)是一种传感器网络应用程序开发范例,其中应用程序通过图形进行可视化描述,其中节点对应于应用程序级任务,边缘对应于数据流。我们对ATaG进行了扩展,增加了非功能需求的选项:对端到端延迟和数据包传输速率的约束。在设计阶段设置这些约束自然会导致在部署阶段启用运行时保证,此时约束的条件被用作网络的性能目标。我们提供了检查这些约束条件的运行时中间件和通过执行任务重新分配和在冗余节点上放置任务副本来动态调整系统的中央管理单元。通过大量的模拟,我们表明,该系统是足够有效的,使适应在几十秒内,即使在大型网络。
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Enabling Design of Performance-Controlled Sensor Network Applications through Task Allocation and Reallocation
Task Graph (ATaG) is a sensor network application development paradigm where the application is visually described by a graph where the nodes correspond to application-level tasks and edges correspond to data flows. We extend ATaG with the option to add non-functional requirements: constraints on end-to-end delay and packet delivery rate. Setting up these constraints at the design phase naturally leads to enabling run-time assurance at the deployment phase, when the conditions of the constraints are used as network's performance goals. We provide both run-time middleware that checks the conditions of these constraints and a central management unit that dynamically adapts the system by doing task reallocation and putting task copies on redundant nodes. Through extensive simulations we show that the system is efficient enough to enable adaptations within tens of seconds even in large networks.
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