A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective <s> B. CLOUD COMPUTING <s> Cloud computing is changing the way industries and enterprises do their businesses in that dynamically scalable and virtualized resources are provided as a service over the Internet. This model creates a brand new opportunity for enterprises. In this paper, some of the essential features of cloud computing are briefly discussed with regard to the end-users, enterprises that use the cloud as a platform, and cloud providers themselves. Cloud computing is emerging as one of the major enablers for the manufacturing industry; it can transform the traditional manufacturing business model, help it to align product innovation with business strategy, and create intelligent factory networks that encourage effective collaboration. Two types of cloud computing adoptions in the manufacturing sector have been suggested, manufacturing with direct adoption of cloud computing technologies and cloud manufacturing-the manufacturing version of cloud computing. Cloud computing has been in some of key areas of manufacturing such as IT, pay-as-you-go business models, production scaling up and down per demand, and flexibility in deploying and customizing solutions. In cloud manufacturing, distributed resources are encapsulated into cloud services and managed in a centralized way. Clients can use cloud services according to their requirements. Cloud users can request services ranging from product design, manufacturing, testing, management, and all other stages of a product life cycle. <s> BIB001 </s> A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective <s> B. CLOUD COMPUTING <s> The exponential growth of cyber space has created opportunities for world-wide web-based businesses and information sharing, but also led to the proliferation of cyber attacks. To conduct the cyber security situation awareness, a large volume of data streams from monitored devices needs to be efficiently stored and processed in real time. In this paper, we propose a cloud computing based architecture for conducting cyber security situation awareness. Particularly, we leverage the cloud infrastructure with a cost-effective data storage and investigate efficient stream processing techniques to reduce operational delays. To effectively detect threats, we present a parallel cloud based threat detection that integrates both signature-based detection and anomaly-based detection. To capture the insightful characteristics of attacks, we discuss the attack scene analysis based on spatiotemporal correlation and visualization schemes to analyze, trace, and visualize abnormal behaviors. Lastly, we present the testbed setup and the implementation workflow to validate the effectiveness of our proposed system. <s> BIB002 </s> A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective <s> B. CLOUD COMPUTING <s> Recently, cloud manufacturing (CMfg) as a new service-oriented manufacturing mode has been paid wide attention around the world. However, one of the key technologies for implementing CMfg is how to realize manufacturing resource intelligent perception and access. In order to achieve intelligent perception and access of various manufacturing resources, the applications of IoT technologies in CMfg has been investigated in this paper. The classification of manufacturing resources and services, as well as their relationships, are presented. A five-layered structure (i.e., resource layer, perception layer, network layer, service layer, and application layer) resource intelligent perception and access system based on IoT is designed and presented. The key technologies for intelligent perception and access of various resources (i.e., hard manufacturing resources, computational resources, and intellectual resources) in CMfg are described. A prototype application system is developed to valid the proposed method. <s> BIB003 </s> A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective <s> B. CLOUD COMPUTING <s> Recently, Internet of Things (IoT) and cloud computing (CC) have been widely studied and applied in many fields, as they can provide a new method for intelligent perception and connection from M2M (including man-to-man, man-to-machine, and machine-to-machine), and on-demand use and efficient sharing of resources, respectively. In order to realize the full sharing, free circulation, on-demand use, and optimal allocation of various manufacturing resources and capabilities, the applications of the technologies of IoT and CC in manufacturing are investigated in this paper first. Then, a CC- and IoT-based cloud manufacturing (CMfg) service system (i.e., CCIoT-CMfg) and its architecture are proposed, and the relationship among CMfg, IoT, and CC is analyzed. The technology system for realizing the CCIoT-CMfg is established. Finally, the advantages, challenges, and future works for the application and implementation of CCIoT-CMfg are discussed. <s> BIB004
Leveraging computing resources from the cloud to aid industrial systems has received significant attention, and is the logical extension of cloud-based services in commercial industries. Applications include cloud manufacturing, among others BIB003 , BIB004 , BIB001 , BIB002 . For example, Xu BIB001 presented the specifications of cloud computing and the adoption of cloud computing for manufacturing businesses. The cloud computing system provides computing services (computing, storage, etc.) from cloud resource pools to particular manufacturing tasks. Cloud computing has the advantages of high reliability, scalability, and interoperability, which can improve the efficiency of computing resource utilization in I-IoT. In addition, Tao et al. BIB003 presented a five-layer architecture of perception or access manufacturing resources for adopting cloud computing in manufacturing.