ArticleSensors (Basel, Switzerland)2019
Design and Implementation of High-Availability Architecture for IoT-Cloud Services.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Validation of High-Availability Model for Edge Devices and IIoT.Sensors (Basel, Switzerland) · 2023Article
- Energy Internet Opportunities in Distributed Peer-to-Peer Energy Trading Reveal by Blockchain for Future Smart Grid 2.0.Sensors (Basel, Switzerland) · 2022Review
- Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing.Healthcare (Basel, Switzerland) · 2021Article
- QoS-Based Service-Time Scheduling in the IoT-Edge Cloud.Sensors (Basel, Switzerland) · 2021Article
- Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction.Sensors (Basel, Switzerland) · 2021Review
- IoT Adaptive Dynamic Blockchain Networking Method Based on Discrete Heartbeat Signals.Sensors (Basel, Switzerland) · 2020Article
- Design and Implementation of Fast Fault Detection in Cloud Infrastructure for Containerized IoT Services.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
For many vertical Internet of Things (IoT) applications, the high availability is very important. In traditional cloud systems, services are usually implemented with the same level of availability in which the fault detection and fault recovery mechanisms are not aware of service characteristics. In IoT-cloud, various services are provided with different service characteristics and availability requirements. Therefore, the existing cloud system is inefficient to optimize the availability method and resources to meet service requirements. To address this issue, this paper proposes a high availability architecture that is capable of dynamically optimizing the availability method based on service characteristics. The proposed architecture was verified through an implementation system based on OpenStack, and it was demonstrated that the system was able to achieve the target availability while optimizing resources, in contrast with existing architectures that use predefined availability methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.