Nowadays, cloud-supported Internet of Things (Cloud-IoT) has been broadly deployed in smart medical systems, where the limitations of Internet of Things (IoT)-associated medical devices in terms of data access, storage, scalability, and computing are solved through the use of cloud computing architectures. However, with the rapid development of medical equipment and the increasing number of medical devices, it will be extremely difficult to program or manage such an expanding and massive medical IoT system in traditional single-cloud platforms. In this article, we design and implement a multicloud framework for building OpenStack-based platform for medical IoT, referred to as the tri-storage failure recovery system (Tri-SFRS). To implement Tri-SFRS, we combine several techniques to achieve this reduction in effort, including a multicloud cascading architecture, a low-overhead native testing framework, a medical data storage-backup mechanism, and snapshot-volume cascaded operations for b-ultrasonic data. Tri-SFRS is also able to simultaneously enable resource management specialization. Tri-SFRS has been designed as a native component in the OpenStack platform, and it demonstrates the degree of native OpenStack multicloud platform management by our proposed cascading framework. Comparing with the traditional single-cloud OpenStack platform, Tri-SFRS can reduce the resource-request processing latency from B ultrasonic machines by up to 20%. Our experiments also demonstrate the broad applicability of Tri-SFRS.

中文翻译：

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适用于云支持的医疗物联网的可扩展多云存储架构


如今，云支持的物联网(Cloud-IoT)已广泛部署在智能医疗系统中，解决了物联网(IoT)相关医疗设备在数据访问、存储、可扩展性和计算方面的局限性。通过使用云计算架构。然而，随着医疗设备的快速发展和医疗设备数量的不断增加，在传统的单云平台上编程或管理这样一个不断扩展的海量医疗物联网系统将变得极其困难。在本文中，我们设计并实现了一个多云框架，用于构建基于 OpenStack 的医疗物联网平台，称为三存储故障恢复系统 (Tri-SFRS)。为了实现 Tri-SFRS，我们结合了多种技术来减少工作量，包括多云级联架构、低开销本机测试框架、医疗数据存储备份机制以及 b 超声数据的快照卷级联操作。 Tri-SFRS 还能够同时实现资源管理专业化。 Tri-SFRS 被设计为 OpenStack 平台中的原生组件，它展示了我们提出的级联框架对原生 OpenStack 多云平台管理的程度。与传统单云OpenStack平台相比，Tri-SFRS可以将B超机的资源请求处理延迟降低高达20%。我们的实验还证明了 Tri-SFRS 的广泛适用性。