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MEACC: an energy-efficient framework for smart devices using cloud computing systems Research Articles
Khalid Alsubhi, Zuhaib Imtiaz, Ayesha Raana, M. Usman Ashraf, Babur Hayat,usman.ashraf@skt.umt.edu.pk
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6, Pages 809-962 doi: 10.1631/FITEE.1900198
Keywords: 卸载;智能设备;云计算;移动计算;能耗
Edge Computing Technology: Development and Countermeasures
Hong Xuehai and Wang Yang
Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 20-26 doi: 10.15302/J-SSCAE-2018.02.004
Edge computing is an emerging technology that reduces transmission delays and bandwidth consumption by placing computing, storage, bandwidth, applications, and other resources on the edge of the network. Moreover, application developers and content providers can provide perceptible services based on real-time network information. Mobile terminals, Internet of things, and other devices provide the necessary front-end support for computing sensitive applications, such as image recognition and network games, to share the cloud work load with the processing capability of edge computing. This paper discusses the concept of edge computing, key problems that require solutions, main advances in edge computing, influence of edge computing developments, and opportunities and development countermeasures of edge calculation.
Keywords: cloud computing edge computing fog computing mobile edge computing internet of things front-end intelligence
Software Architecture of Fogcloud Computing for Big Data in Ubiquitous Cyberspace
Jia Yan, Fang Binxing, Wang Xiang, Wang Yongheng, An Jingbin,Li Aiping, Zhou Bin
Strategic Study of CAE 2019, Volume 21, Issue 6, Pages 114-119 doi: 10.15302/J-SSCAE-2019.10.001
The cyberspace has expanded from traditional internet to ubiquitous cyberspace which interconnects human, machines,things, services, and applications. The computing paradigm is also shifting from centralized computing in the cloud to combined computing in the front end, middle layer, and cloud. Therefore, traditional computing paradigms such as cloud computing and edge computing can no longer satisfy the evolving computing needs of big data in ubiquitous cyberspace. This paper presents a computing architecture named Fogcloud Computing for big data in ubiquitous cyberspace. Collaborative computing by multiple knowledge actors in the fog, middle layer, and cloud is realized based on the collaborative computing language and models, thereby providing a solution for big data computing in ubiquitous cyberspace.
Keywords: fogcloud computing ubiquitous cyberspace big data Internet of Things cloud computing
Analog Optical Computing for Artificial Intelligence Review
Jiamin Wu,Xing Lin,Yuchen Guo,Junwei Liu,Lu Fang,Shuming Jiao,Qionghai Dai,
Engineering 2022, Volume 10, Issue 3, Pages 133-145 doi: 10.1016/j.eng.2021.06.021
The rapid development of artificial intelligence (AI) facilitates various applications from all areas but also poses great challenges in its hardware implementation in terms of speed and energy because of the explosive growth of data. Optical computing provides a distinctive perspective to address this bottleneck by harnessing the unique properties of photons including broad bandwidth, low latency, and high energy efficiency. In this review, we introduce the latest developments of optical computing for different AI models, including feedforward neural networks, reservoir computing, and spiking neural networks (SNNs). Recent progress in integrated photonic devices, combined with the rise of AI, provides a great opportunity for the renaissance of optical computing in practical applications. This effort requires multidisciplinary efforts from a broad community. This review provides an overview of the state-of-the-art accomplishments in recent years, discusses the availability of current technologies, and points out various remaining challenges in different aspects to push the frontier. We anticipate that the era of large-scale integrated photonics processors will soon arrive for practical AI applications in the form of hybrid optoelectronic frameworks.
Keywords: Artificial intelligence Optical computing Opto-electronic framework Neural network Neuromorphic computing Reservoir computing Photonics processor
Integrated and Intelligent Manufacturing: Perspectives and Enablers
Yubao Chen
Engineering 2017, Volume 3, Issue 5, Pages 588-595 doi: 10.1016/J.ENG.2017.04.009
With ever-increasing market competition and advances in technology, more and more countries are prioritizing advanced manufacturing technology as their top priority for economic growth. Germany announced the Industry 4.0 strategy in 2013. The US government launched the Advanced Manufacturing Partnership (AMP) in 2011 and the National Network for Manufacturing Innovation (NNMI) in 2014. Most recently, the Manufacturing USA initiative was officially rolled out to further “leverage existing resources… to nurture manufacturing innovation and accelerate commercialization” by fostering close collaboration between industry, academia, and government partners. In 2015, the Chinese government officially published a 10-year plan and roadmap toward manufacturing: Made in China 2025. In all these national initiatives, the core technology development and implementation is in the area of advanced manufacturing systems. A new manufacturing paradigm is emerging, which can be characterized by two unique features: integrated manufacturing and intelligent manufacturing. This trend is in line with the progress of industrial revolutions, in which higher efficiency in production systems is being continuously pursued. To this end, 10 major technologies can be identified for the new manufacturing paradigm. This paper describes the rationales and needs for integrated and intelligent manufacturing (i2M) systems. Related technologies from different fields are also described. In particular, key technological enablers, such as the Internet of Things and Services (IoTS), cyber-physical systems (CPSs), and cloud computing are discussed. Challenges are addressed with applications that are based on commercially available platforms such as General Electric (GE)’s Predix and PTC’s ThingWorx.
Keywords: Integrated manufacturing Intelligent manufacturing Cloud computing Cyber-physical system Internet of Things Industrial Internet Predictive analytics Manufacturing platform
Towards adaptable and tunable cloud-based map-matching strategy for GPS trajectories Article
Aftab Ahmed CHANDIO,Nikos TZIRITAS,Fan ZHANG,Ling YIN,Cheng-Zhong XU
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12, Pages 1305-1319 doi: 10.1631/FITEE.1600027
Keywords: Map-matching GPS trajectories Tuning-based Cloud computing Bulk synchronous parallel
Cost-effective resource segmentation in hierarchical mobile edge clouds Special Feature on Future Network-Research Article
Ming-shuang JIN, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9, Pages 1209-1220 doi: 10.1631/FITEE.1800203
Keywords: Edge clouds Edge computing Edge caching Resource segmentation Virtual machine (VM) allocation
MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things Article
Chengxiao Liu, Wei Feng, Xiaoming Tao, Ning Ge
Engineering 2022, Volume 8, Issue 1, Pages 96-107 doi: 10.1016/j.eng.2021.11.002
In the upcoming sixth-generation (6G) era, the demand for constructing a wide-area time-sensitive Internet of Things (IoT) continues to increase. As conventional cellular technologies are difficult to directly use for wide-area time-sensitive IoT, it is beneficial to use non-terrestrial infrastructures, including satellites and unmanned aerial vehicles (UAVs). Thus, we can build a non-terrestrial network (NTN) using a cell-free architecture. Driven by the time-sensitive requirements and uneven distribution of IoT devices, the NTN must be empowered using mobile edge computing (MEC) while providing oasisoriented on-demand coverage for devices. Nevertheless, communication and MEC systems are coupled with each other under the influence of a complex propagation environment in the MEC-empowered NTN, which makes it difficult to coordinate the resources. In this study, we propose a process-oriented framework to design communication and MEC systems in a time-division manner. In this framework, large-scale channel state information (CSI) is used to characterize the complex propagation environment at an affordable cost, where a nonconvex latency minimization problem is formulated. Subsequently, the approximated problem is provided, and it can be decomposed into sub-problems. These sub-problems are then solved iteratively. The simulation results demonstrated the superiority of the proposed process-oriented scheme over other algorithms, implied that the payload deployments of UAVs should be appropriately predesigned to improve the efficiency of using resources, and confirmed that it is advantageous to integrate NTN with MEC for wide-area time-sensitive IoT.
Keywords: Cell-free Mobile edge computing Non-terrestrial networks Sixth-generation Wide-area time-sensitive IoT
Calculating Method for Area Source Model of Particulates
Gu Qing,Yang Xinxing,Li Yunsheng
Strategic Study of CAE 2005, Volume 7, Issue 1, Pages 41-44
The area source model of particulates was deeply researched, and the places of the initial precipitation of the area sources of particulates were determined. The precipitation of the particulates into the inside of the area source would not be considered. The concentration of the particulates in the inside of the area source block equalled the source intensity of the pollutants of the unit area that was multiplied by the reflection coefficient of the ground surface and divided by the wind speed of the ground surface.
The particulate precipitation of the outside of the area source would be considered. Using the back set method of the virtual point source, and referring to the tilt smoke and cloud model of the part reflex of the point source, the area source model of the particulates was fully given. The edge concentration of the area source was processed by the part of the linear insertion, lest the discontinuity of the calculated results. The central point place of the area sources should be moved horizontally a micro-distance at X and Y directions so that the possibility of the coincidence of both the calculated point and the central point of the area sources would be eliminated.
Keywords: atmospheric environment particulate area source model calculating method
Development and Prospect of Edge Intelligence for Industrial Internet
Ren Yaodanjun, Qi Zhengwei, Guan Haibing, Chen Lei
Strategic Study of CAE 2021, Volume 23, Issue 2, Pages 104-111 doi: 10.15302/J-SSCAE-2021.02.014
As the industrial Internet deeply integrated with manufacturing, the drive capability of industrial intelligence becomes prominent regarding the digitization and informatization of the manufacturing industry. Meanwhile, new applications propose higher requirements for service quality. Edge intelligence, a product of edge computing and artificial intelligence, completes intelligent tasks using computing resources near the data origin. It can alleviate bandwidth transmission pressure, shorten service response delay, and protect the security of private data. Hence, edge intelligence provides a possible approach to satisfy the performance requirements in industrial intelligence applications. This study reviews the research status of cooperative computing, resource isolation, privacy protection, and other key technologies in edge intelligence. Then the typical applications of edge intelligence in equipment management services, production process automation, and manufacturing assistance in the industrial Internet are analyzed in detail. Moreover, the development trend of edge intelligence for the industrial Internet is analyzed in terms of business driving mode, industrial ecology composition, alliance role, and business model. Furthermore, relevant policy suggestions are proposed. We suggest that superior resources should be integrated to establish industry standards; investment increased in basic common resources to deepen the application of the industrial Internet; a good industrial ecology created in the subdivided fields; and university–enterprise cooperation promoted to cultivate interdisciplinary personnel.
Keywords: industrial Internet,edge computing,edge intelligence,cooperative computing,resource isolation
Flexible Resource Scheduling for Software-Defined Cloud Manufacturing with Edge Computing Article
Chen Yang,Fangyin Liao,Shulin Lan,Lihui Wang,Weiming Shen,George Q. Huang
Engineering 2023, Volume 22, Issue 3, Pages 60-70 doi: 10.1016/j.eng.2021.08.022
This research focuses on the realization of rapid reconfiguration in a cloud manufacturing environment to enable flexible resource scheduling, fulfill the resource potential and respond to various changes. Therefore, this paper first proposes a new cloud and software-defined networking (SDN)-based manufacturing model named software-defined cloud manufacturing (SDCM), which transfers the control logic from automation hard resources to the software. This shift is of significance because the software can function as the “brain” of the manufacturing system and can be easily changed or updated to support fast system reconfiguration, operation, and evolution. Subsequently, edge computing is introduced to complement the cloud with computation and storage capabilities near the end things. Another key issue is to manage the critical network congestion caused by the transmission of a large amount of Internet of Things (IoT) data with different quality of service (QoS) values such as latency. Based on the virtualization and flexible networking ability of the SDCM, we formalize the time-sensitive data traffic control problem of a set of complex manufacturing tasks, considering subtask allocation and data routing path selection. To solve this optimization problem, an approach integrating the genetic algorithm (GA), Dijkstra’s shortest path algorithm, and a queuing algorithm is proposed. Results of experiments show that the proposed method can efficiently prevent network congestion and reduce the total communication latency in the SDCM.
Keywords: Cloud manufacturing Edge computing Software-defined networks Industrial internet of things Industry 4.0
An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment Article
Tianyou Chai, Mingyu Li, Zheng Zhou, Siyu Cheng, Yao Jia, Zhiwei Wu
Engineering 2023, Volume 27, Issue 8, Pages 84-95 doi: 10.1016/j.eng.2023.05.018
Based on an analysis of the operational control behavior of operation experts on energy-intensive equipment, this paper proposes an intelligent control method for low-carbon operation by combining mechanism analysis with deep learning, linking control and optimization with prediction, and integrating decision-making with control. This method, which consists of setpoint control, self-optimized tuning, and tracking control, ensures that the energy consumption per tonne is as low as possible, while remaining within the target range. An intelligent control system for low-carbon operation is developed by adopting the end–edge–cloud collaboration technology of the Industrial Internet. The system is successfully applied to a fused magnesium furnace and achieves remarkable results in reducing carbon emissions.
Keywords: Energy-intensive equipment Low-carbon operation Intelligent control End&ndash edge&ndash cloud collaboration technology
Weiyong Yang, Wei Liu, Xingshen Wei, Zixin Guo, Kangle Yang, Hao Huang, Longyun Qi,yangkangle@sgepri.sgcc.com.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 3, Pages 287-436 doi: 10.1631/FITEE.1900636
Keywords: 物联网;泛在电力物联网;边缘计算;可信计算;网络安全
Application of Mobile Agent in Intelligent Transportation System (ITS)
Zhang Yunyong,Liu Jinde
Strategic Study of CAE 2002, Volume 4, Issue 7, Pages 46-50
The history and architecture of intelligent transportation system is reviewed. After the excellence of mobile agent is introduced,the application of mobile agent in intelligent transportation system is focused from the following fields: network management, wireless communication, traffic control system, simulation system and graphics information system.
Keywords: intelligent transportation system ( ITS) mobile agent traffic control system graphics information system (GIS) agent communication language (ACL) agent transfer protocol (ATP)
High End Computing in China and the Exploration of “Sunway” Computers
Chen Zuoning
Strategic Study of CAE 2004, Volume 6, Issue 9, Pages 23-28
In the beginning of the 21st century, driven by application requirements, the research and development of HEC are getting a new upsurge both in China and abroad. This paper analyses the development status and trends of international HEC, describes the overall development and application status of HEC in China, introduces the major technical features and application achievements of Sunway series high-performance computers; discusses the problems faced by today's HEC technologies, and finally makes some suggestions on how to extend progress in the HEC industry in China.
Keywords: high-end computing grid computing high performance service high productivity computing total cost of ownership Sunway series computers
Title Author Date Type Operation
MEACC: an energy-efficient framework for smart devices using cloud computing systems
Khalid Alsubhi, Zuhaib Imtiaz, Ayesha Raana, M. Usman Ashraf, Babur Hayat,usman.ashraf@skt.umt.edu.pk
Journal Article
Edge Computing Technology: Development and Countermeasures
Hong Xuehai and Wang Yang
Journal Article
Software Architecture of Fogcloud Computing for Big Data in Ubiquitous Cyberspace
Jia Yan, Fang Binxing, Wang Xiang, Wang Yongheng, An Jingbin,Li Aiping, Zhou Bin
Journal Article
Analog Optical Computing for Artificial Intelligence
Jiamin Wu,Xing Lin,Yuchen Guo,Junwei Liu,Lu Fang,Shuming Jiao,Qionghai Dai,
Journal Article
Towards adaptable and tunable cloud-based map-matching strategy for GPS trajectories
Aftab Ahmed CHANDIO,Nikos TZIRITAS,Fan ZHANG,Ling YIN,Cheng-Zhong XU
Journal Article
Cost-effective resource segmentation in hierarchical mobile edge clouds
Ming-shuang JIN, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG
Journal Article
MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things
Chengxiao Liu, Wei Feng, Xiaoming Tao, Ning Ge
Journal Article
Calculating Method for Area Source Model of Particulates
Gu Qing,Yang Xinxing,Li Yunsheng
Journal Article
Development and Prospect of Edge Intelligence for Industrial Internet
Ren Yaodanjun, Qi Zhengwei, Guan Haibing, Chen Lei
Journal Article
Flexible Resource Scheduling for Software-Defined Cloud Manufacturing with Edge Computing
Chen Yang,Fangyin Liao,Shulin Lan,Lihui Wang,Weiming Shen,George Q. Huang
Journal Article
An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment
Tianyou Chai, Mingyu Li, Zheng Zhou, Siyu Cheng, Yao Jia, Zhiwei Wu
Journal Article
Generation of noise-like pulses and soliton rains in a graphene mode-locked erbium-doped fiber ring laser
Weiyong Yang, Wei Liu, Xingshen Wei, Zixin Guo, Kangle Yang, Hao Huang, Longyun Qi,yangkangle@sgepri.sgcc.com.cn
Journal Article
Application of Mobile Agent in Intelligent Transportation System (ITS)
Zhang Yunyong,Liu Jinde
Journal Article