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.
Highlights
The Internet of Things (IoT) is promising for many new applications by enabling many objects around us to connect, communicate, and interact over the internet without human intervention
This paper proposed a high availability architecture that is capable of dynamically optimizing the availability method based on service characteristics
An architecture that automatically configures fault detection and fault recovery methods according to the characteristics of IoT services in an IoT-cloud infrastructure is proposed
Summary
The Internet of Things (IoT) is promising for many new applications by enabling many objects around us to connect, communicate, and interact over the internet without human intervention. In previous research [3,4,5], we proposed different models to integrate wireless sensor networks with the cloud for efficient IoT-cloud services. Such models consider the resource constraints of sensor devices [6,7,8] for sensor data collection as well as quality of service (QoS) for sensing services [3,4,5,9,10,11]
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