Article
Computer Science, Information Systems
Xiaojian Zhu, MengChu Zhou
Summary: Mobile-edge computing reduces workload and network delay by deploying computational resources near devices, focusing on user experience and cost reduction for service providers. Research on joint cloudlet deployment and task offloading aims to minimize energy consumption, task response delay, and deployed cloudlets, using a modified optimization algorithm to find tradeoff solutions. The algorithm's superiority is confirmed through extensive simulations.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Wei Ren, Yan Sun, Hong Luo, Mohsen Guizani
Summary: This paper proposes a demand-driven incremental deployment strategy (DDID) to address the challenge of edge server deployment in edge computing. By using a novel demand model and a bi-level integer linear program model, the deployment cost can be minimized while prioritizing high demand services. Experimental results show that the DDID method reduces the deployment cost by 18% compared to the one-time deployment method, with acceptable service ability loss.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Yao Yu, Shumei Liu, Phee Lep Yeoh, Branka Vucetic, Yonghui Li
Summary: The article introduces LayerChain, a hierarchical edge-cloud blockchain solution that tackles critical limitations in efficient storage and rapid response for large-scale low-delay IIoT scenarios. Through a layered structure, a node classification method, and a tree-based clustering algorithm, LayerChain successfully reduces resource requirements and block propagation time, making it suitable for such applications.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Lulu Chen, Yangchuan Xu, Zhihui Lu, Jie Wu, Keke Gai, Patrick C. K. Hung, Meikang Qiu
Summary: This article introduces a microservice-based service deployment strategy to reduce the average waiting time of IoT devices in a hybrid environment, achieving better deployment solutions through reinforcement learning and neural networks. The approach, implemented with real-world data sets, outperformed genetic and random algorithms by 32% and 44% in experimental results.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Editorial Material
Automation & Control Systems
Syed Hassan Ahmed Shah, Deepika Koundal, Vyasa Sai, Shalli Rani
Summary: The relationship between computing and healthcare has a long history, but the adoption of telemedicine has been slow due to political resistance, lack of infrastructure development frameworks, and lack of resources. The Internet of Medical Things (IoMT) is expected to bring about significant advancements, particularly when combined with edge computing and 5G speed. Artificial intelligence and edge computing have played a crucial role in improving the network for reliable communication in smart healthcare systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Luhui Wang, Xuebin Ren, Cong Zhao, Fangyuan Zhao, Shusen Yang
Summary: The development of cloud and edge computing has made it easy for various devices to access AI services. However, orchestrating large-scale deep learning inference services in the cloud-edge continuum faces challenges due to the increasing availability of DL model variants and computational intelligence paradigms. To address this, a multi-paradigm deployment model (MPDM) and a weighted metric-based constructive heuristic algorithm (WCH) are proposed to optimize the system accuracy, service scale, and deployment cost.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Zhendong Ai, Wei Cui
Summary: This article proposes a round-based two-stage blockchain consensus protocol called Proof-of-Transactions (PoT) that can improve the performance and security of the Internet of Things (IoT).
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Gautam Srivastava, Jerry Chun-Wei Lin, Xuyun Zhang, Yuanfa Li
Summary: This paper presents a four-stage MapReduce framework based on the Spark platform for high-utility sequential pattern mining, which is shown to create a more efficient and faster mining performance for dealing with large data sets.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Huifeng Wu, Yi Yan, Baiping Chen, Feng Hou, Danfeng Sun
Summary: This article introduces an ontology and a three-layer cloud-fog-edge architecture (FADA) for large and complex machines to address issues such as data quality and data extraction. Experimental results prove the feasibility and performance advantages of FADA in different scenarios.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Review
Computer Science, Information Systems
Mohammed Laroui, Boubakr Nour, Hassine Moungla, Moussa A. Cherif, Hossam Afifi, Mohsen Guizani
Summary: The Internet of Things (IoT) enables communication between devices and digital assets over a network without human intervention. Traditional cloud computing is not efficient in analyzing large amounts of data quickly, prompting the proposal of edge computing to decentralize data processing to solve this issue. Edge computing supports IoT applications requiring quick response times, leading to improved energy consumption and resource utilization.
COMPUTER COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
Xavi Masip-Bruin, Eva Marin-Tordera, Sergi Sanchez-Lopez, Jordi Garcia, Admela Jukan, Ana Juan Ferrer, Anna Queralt, Antonio Salis, Andrea Bartoli, Matija Cankar, Cristovao Cordeiro, Jens Jensen, John Kennedy
Summary: The cloud continuum, formed by the combination of fog computing, edge computing, and cloud computing, requires novel management strategies to coordinate and efficiently manage resources from the edge to the cloud. This management framework design poses various research challenges and has spurred many global initiatives.
Article
Engineering, Civil
Bin Cao, Shanshan Fan, Jianwei Zhao, Shan Tian, Zihao Zheng, Yanlong Yan, Peng Yang
Summary: The development of the Internet of Vehicles has brought about intelligent network transportation systems. This paper studied the placement problem of Edge Servers (ESs) in the IoV and constructed a six-objective ES deployment optimization model. By optimizing the deployment problem of ESs using a many-objective evolutionary algorithm, the effectiveness of the algorithm and model was verified through comparisons with state-of-the-art methods.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Juan Luis Herrera, Jaime Galan-Jimenez, Jose Garcia-Alonso, Javier Berrocal, Juan Manuel Murillo
Summary: The emergence of IoT has attracted interest in various domains, including healthcare. To optimize the QoS requirements of intensive IoT applications, the interplay of computing, networking, and application dimensions needs to be considered. This study introduces the NIoTO framework, which utilizes paradigms like edge/fog computing, software-defined networks, and microservices architectures to optimize the deployment of resources in terms of response time and cost. Evaluation in a healthcare case study shows significant improvements in both response time (up to 5.11 speedup) and cost reduction (up to 9%) compared to state-of-the-art techniques.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Yulei Wu, Hong-Ning Dai, Hao Wang
Summary: Critical infrastructure systems in Industry 4.0 are facing challenges in security and scalability. The convergence of blockchain and edge computing is expected to address these issues and provide secure and scalable critical infrastructures. Current research is mainly focused on security, privacy, and scalability in this area.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Abdulmalik Alwarafy, Khaled A. Al-Thelaya, Mohamed Abdallah, Jens Schneider, Mounir Hamdi
Summary: This article conducts a comprehensive survey on security and privacy issues in the context of EC-assisted IoT, including definitions, attack classifications, solutions, and open challenges. Furthermore, it provides future research directions for the secure EC-assisted IoT paradigm.
IEEE INTERNET OF THINGS JOURNAL
(2021)
