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An Active Resource Orchestration Framework for PAN-Scale, Sensor-Rich Environments

机译:PAN级,传感器丰富的环境的主动资源编排框架

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摘要

In this paper, we present Orchestrator, an active resource orchestration framework for a PAN-scale sensor-rich mobile computing platform. Incorporating diverse sensing devices connected to a mobile phone, the platform will serve as a common base to accommodate personal context-aware applications. A major challenge for the platform is to simultaneously support concurrent applications requiring continuous and complex context processing, with highly scarce and dynamic resources. To address the challenge, we build Orchestrator, which actively coordinates applications' resource uses over the distributed mobile and sensor devices. As a key approach, it adopts an active resource use orchestration, which prepares multiple alternative plans for application requests and selectively applies them according to resource availability and demands at runtime. Through the selection, it resolves resource contention among applications and helps them efficiently share resources. With such system-level supports, applications become capable of providing long-running services under dynamic circumstances with scarce resources. Also, the platform can host a number of applications stably, exploiting its full resource capacity. We build an Orchestrator prototype on off-the-shelf mobile devices and sensor motes and show its effectiveness in terms of application supportability and resource use efficiency.
机译:在本文中,我们介绍了Orchestrator,这是用于PAN规模的传感器丰富的移动计算平台的活动资源协调框架。该平台整合了与手机相连的各种传感设备,将成为容纳个人情境感知应用程序的通用基础。该平台的主要挑战是如何以高度稀缺和动态的资源同时支持需要连续和复杂的上下文处理的并发应用程序。为了应对这一挑战,我们构建了Orchestrator,它可以在分布式移动设备和传感器设备上主动协调应用程序的资源使用。作为一种关键方法,它采用活动的资源使用流程,该流程为应用程序请求准备了多个替代计划,并在运行时根据资源可用性和需求有选择地应用它们。通过选择,它解决了应用程序之间的资源争用并帮助它们有效地共享资源。有了这样的系统级支持,应用程序就能够在动态情况下使用稀缺资源来提供长期运行的服务。而且,该平台可以利用其全部资源容量来稳定地托管许多应用程序。我们在现成的移动设备和传感器节点上构建了Orchestrator原型,并在应用程序支持能力和资源使用效率方面展示了其有效性。

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