Log in

Relevant bibliographies by topics / Edge-based services / Journal articles

To see the other types of publications on this topic, follow the link: Edge-based services.

Journal articles on the topic 'Edge-based services'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Edge-based services.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Zhang, Xiangjun, Weiguo Wu, Shiyuan Yang, and Xiong Wang. "Falcon: A Blockchain-Based Edge Service Migration Framework in MEC." Mobile Information Systems 2020 (October 16, 2020): 1–17. http://dx.doi.org/10.1155/2020/8820507.

Full text

Abstract:

Driven by advanced 5G cellular systems, mobile edge computing (MEC) has emerged as a promising technology that can meet the energy efficiency and latency requirements of IoT applications. Edge service migration in the MEC environment plays an important role in ensuring user service quality and enhancing terminal computing capabilities. Application services on the edge side should be migrated from different edge servers to edge nodes closer to users, so that services follow users and ensure high-quality services. In addition, during the migration process, edge services face security challenges

APA, Harvard, Vancouver, ISO, and other styles

2

Du, Zhoujie, and Huaikou Miao. "Research on Edge Service Composition Method Based on BAS Algorithm." Computational Intelligence and Neuroscience 2021 (July 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/9931689.

Full text

Abstract:

Edge services are transferred data processing, application running, and implementation of some functional services from cloud central server to network edge server to provide services. Combined edge service can effectively reduce task computation in the cloud, shorten transmission distance of processing data, quickly decompose task of service request, and select the optimal edge service combination to provide service for users. BAS is an efficient intelligent optimization algorithm, which can achieve efficient optimization and neither need to know the specific form of function nor need gradien

APA, Harvard, Vancouver, ISO, and other styles

3

Zhai, Zhongyi, Ke Xiang, Lingzhong Zhao, Bo Cheng, Junyan Qian, and Jinsong Wu. "IoT-RECSM—Resource-Constrained Smart Service Migration Framework for IoT Edge Computing Environment." Sensors 20, no. 8 (2020): 2294. http://dx.doi.org/10.3390/s20082294.

Full text

Abstract:

The edge-based computing paradigm (ECP) becomes one of the most innovative modes of processing distributed Interneit of Things (IoT) sensor data. However, the edge nodes in ECP are usually resource-constrained. When more services are executed on an edge node, the resources required by these services may exceed the edge node’s, so as to fail to maintain the normal running of the edge node. In order to solve this problem, this paper proposes a resource-constrained smart service migration framework for edge computing environment in IoT (IoT-RECSM) and a dynamic edge service migration algorithm. B

APA, Harvard, Vancouver, ISO, and other styles

4

Chen, Min, Haiyang Wang, Kai Hwang, et al. "Guest Editorial: Learning-Based Edge Computing Services." IEEE Network 35, no. 1 (2021): 138–40. http://dx.doi.org/10.1109/mnet.2021.9355037.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Xiao, Bin, Rahim Rahmani, Yuhong Li, and Theo Kanter. "Edge-based interoperable service-driven information distribution for intelligent pervasive services." Pervasive and Mobile Computing 40 (September 2017): 359–81. http://dx.doi.org/10.1016/j.pmcj.2017.07.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Wang, Yuqing, and Xueping Han. "Agricultural Productive Service System Based on the Block Chain and Edge Computing." Mathematical Problems in Engineering 2020 (November 30, 2020): 1–9. http://dx.doi.org/10.1155/2020/6667956.

Full text

Abstract:

With the rapid development of the service sector in economic growth, productive service industry has become a growing field of people’s attention. Agricultural productive services are a supporting point to promote the development of modern agriculture, and at the same time, they also point out the direction for promoting the transformation of the agricultural development mode, which has very important strategic significance. In order to analyze and improve the rural productive service system and solve the “three rural” issues, this article designs an agricultural productive service analysis fr

APA, Harvard, Vancouver, ISO, and other styles

7

Xu, Xiaolong, Qihe Huang, Yiwen Zhang, Shancang Li, Lianyong Qi, and Wanchun Dou. "An LSH-based Offloading Method for IoMT Services in Integrated Cloud-Edge Environment." ACM Transactions on Multimedia Computing, Communications, and Applications 16, no. 3s (2021): 1–19. http://dx.doi.org/10.1145/3408319.

Full text

Abstract:

Benefiting from the massive available data provided by Internet of multimedia things (IoMT), enormous intelligent services requiring information of various types to make decisions are emerging. Generally, the IoMT devices are equipped with limited computing power, interfering with the process of computation-intensive services. Currently, to satisfy a wide range of service requirements, the novel computing paradigms, i.e., cloud computing and edge computing, can potentially be integrated for service accommodation. Nevertheless, the private information (i.e., location, service type, etc.) in the

APA, Harvard, Vancouver, ISO, and other styles

8

Aral, Atakan, Ivona Brandic, Rafael Brundo Uriarte, Rocco De Nicola, and Vincenzo Scoca. "Addressing Application Latency Requirements through Edge Scheduling." Journal of Grid Computing 17, no. 4 (2019): 677–98. http://dx.doi.org/10.1007/s10723-019-09493-z.

Full text

Abstract:

Abstract Latency-sensitive and data-intensive applications, such as IoT or mobile services, are leveraged by Edge computing, which extends the cloud ecosystem with distributed computational resources in proximity to data providers and consumers. This brings significant benefits in terms of lower latency and higher bandwidth. However, by definition, edge computing has limited resources with respect to cloud counterparts; thus, there exists a trade-off between proximity to users and resource utilization. Moreover, service availability is a significant concern at the edge of the network, where ex

APA, Harvard, Vancouver, ISO, and other styles

9

Zhang, Xin, Jiali You, Hanxing Xue, and Jinlin Wang. "A Decentralized PageRank Based Content Dissemination Model at the Edge of Network." International Journal of Web Services Research 17, no. 1 (2020): 1–16. http://dx.doi.org/10.4018/ijwsr.2020010101.

Full text

Abstract:

In the era of Internet of Things, cloud services are difficult to meet the real-time transmission requirements of users for the data generated in the edge of network especially for the Internet video services. Utilizing the devices at the edge of network, such as an intelligent router, to achieve nearby content services for users can effectively reduce backbone traffic and enhance service performance. This article proposes a decentralized PageRank-based content dissemination model at the edge of network, in which a suitable node selection algorithm is designed to distribute the content evenly

APA, Harvard, Vancouver, ISO, and other styles

10

Gao, Honghao, Wanqiu Huang, and Yucong Duan. "The Cloud-edge-based Dynamic Reconfiguration to Service Workflow for Mobile Ecommerce Environments." ACM Transactions on Internet Technology 21, no. 1 (2021): 1–23. http://dx.doi.org/10.1145/3391198.

Full text

Abstract:

The emergence of mobile service composition meets the current needs for real-time eCommerce. However, the requirements for eCommerce, such as safety and timeliness, are becoming increasingly strict. Thus, the cloud-edge hybrid computing model has been introduced to accelerate information processing, especially in a mobile scenario. However, the mobile environment is characterized by limited resource storage and users who frequently move, and these characteristics strongly affect the reliability of service composition running in this environment. Consequently, applications are likely to fail if

APA, Harvard, Vancouver, ISO, and other styles

11

Blanc, Sara, José-Luis Bayo-Montón, Senén Palanca-Barrio, and Néstor X. Arreaga-Alvarado. "A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems." Sensors 21, no. 2 (2021): 672. http://dx.doi.org/10.3390/s21020672.

Full text

Abstract:

This paper presents a solution to support service discovery for edge choreography based distributed embedded systems. The Internet of Things (IoT) edge architectural layer is composed of Raspberry Pi machines. Each machine hosts different services organized based on the choreography collaborative paradigm. The solution adds to the choreography middleware three messages passing models to be coherent and compatible with current IoT messaging protocols. It is aimed to support blind hot plugging of new machines and help with service load balance. The discovery mechanism is implemented as a broker

APA, Harvard, Vancouver, ISO, and other styles

12

Grieco, Raffaella, Delfina Malandrino, and Vittorio Scarano. "A Scalable Cluster-based Infrastructure for Edge-computing Services." World Wide Web 9, no. 3 (2006): 317–41. http://dx.doi.org/10.1007/s11280-006-8559-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Zhang, Yiwen, Jie Pan, Lianyong Qi, and Qiang He. "Privacy-preserving quality prediction for edge-based IoT services." Future Generation Computer Systems 114 (January 2021): 336–48. http://dx.doi.org/10.1016/j.future.2020.08.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Yang, Huali, and Xiaowei Han. "National Sports AI Health Management Service System Based on Edge Computing." Wireless Communications and Mobile Computing 2021 (April 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/5536329.

Full text

Abstract:

With the development of the economy, people’s living standards continue to improve, and the management awareness of their own health and safety has gradually increased. The human body usually has a long process of transition from being healthy to the appearance of disease, and people’s lifestyle and daily behavior will affect the health of the body to a large extent. This paper studies the national sports AI health management service system based on edge computing. This paper organically combines edge computing, artificial intelligence, and health management service systems. Through detection

APA, Harvard, Vancouver, ISO, and other styles

15

Sun, Lintan, Zigan Li, Jingxian Lv, et al. "Edge computing task scheduling strategy based on load balancing." MATEC Web of Conferences 309 (2020): 03025. http://dx.doi.org/10.1051/matecconf/202030903025.

Full text

Abstract:

With the rapid development and wide application of the Internet of Everything, in order to cope with the increasing amount of data and computational scale of mobile terminal processing, and the imbalance of existing scheduling algorithms and low resource utilization, this paper proposes a task scheduling algorithm based on business priority. The algorithm firstly divides the service according to the priority of the service. Secondly, the standard deviation of the computing task group is used to determine the proportion of long and short services, and the dynamic selection model is established.

APA, Harvard, Vancouver, ISO, and other styles

16

Xu, Xiaolong, Zijie Fang, Jie Zhang, et al. "Edge Content Caching with Deep Spatiotemporal Residual Network for IoV in Smart City." ACM Transactions on Sensor Networks 17, no. 3 (2021): 1–33. http://dx.doi.org/10.1145/3447032.

Full text

Abstract:

Internet of Vehicles (IoV) enables numerous in-vehicle applications for smart cities, driving increasing service demands for processing various contents (e.g., videos). Generally, for efficient service delivery, the contents from the service providers are processed on the edge servers (ESs), as edge computing offers vehicular applications low-latency services. However, due to the reusability of the same contents required by different distributed vehicular users, processing the copies of the same contents repeatedly in an edge server leads to a waste of resources (e.g., storage, computation, an

APA, Harvard, Vancouver, ISO, and other styles

17

Jin, Wenquan, Rongxu Xu, Sunhwan Lim, Dong-Hwan Park, Chanwon Park, and Dohyeun Kim. "Dynamic Inference Approach Based on Rules Engine in Intelligent Edge Computing for Building Environment Control." Sensors 21, no. 2 (2021): 630. http://dx.doi.org/10.3390/s21020630.

Full text

Abstract:

Computation offloading enables intensive computational tasks in edge computing to be separated into multiple computing resources of the server to overcome hardware limitations. Deep learning derives the inference approach based on the learning approach with a volume of data using a sufficient computing resource. However, deploying the domain-specific inference approaches to edge computing provides intelligent services close to the edge of the networks. In this paper, we propose intelligent edge computing by providing a dynamic inference approach for building environment control. The dynamic in

APA, Harvard, Vancouver, ISO, and other styles

18

Kim, Won-Suk. "Progressive Traffic-Oriented Resource Management for Reducing Network Congestion in Edge Computing." Entropy 23, no. 5 (2021): 532. http://dx.doi.org/10.3390/e23050532.

Full text

Abstract:

Edge computing can deliver network services with low latency and real-time processing by providing cloud services at the network edge. Edge computing has a number of advantages such as low latency, locality, and network traffic distribution, but the associated resource management has become a significant challenge because of its inherent hierarchical, distributed, and heterogeneous nature. Various cloud-based network services such as crowd sensing, hierarchical deep learning systems, and cloud gaming each have their own traffic patterns and computing requirements. To provide a satisfactory use

APA, Harvard, Vancouver, ISO, and other styles

19

Zhang, Jinnan, Changqi Lu, Gang Cheng, et al. "A Blockchain-Based Trusted Edge Platform in Edge Computing Environment." Sensors 21, no. 6 (2021): 2126. http://dx.doi.org/10.3390/s21062126.

Full text

Abstract:

Edge computing is a product of the evolution of IoT and the development of cloud computing technology, providing computing, storage, network, and other infrastructure close to users. Compared with the centralized deployment model of traditional cloud computing, edge computing solves the problems of extended communication time and high convergence traffic, providing better support for low latency and high bandwidth services. With the increasing amount of data generated by users and devices in IoT, security and privacy issues in the edge computing environment have become concerns. Blockchain, a

APA, Harvard, Vancouver, ISO, and other styles

20

Lee, Juyong, and Jihoon Lee. "Hierarchical Mobile Edge Computing Architecture Based on Context Awareness." Applied Sciences 8, no. 7 (2018): 1160. http://dx.doi.org/10.3390/app8071160.

Full text

Abstract:

Due to the recent developments in mobile network technology and the supply of mobile devices, services that require high computing power and fast access speed, such as machine learning and multimedia streaming, are attracting attention. Mobile Edge Computing (MEC) has emerged. MEC allows servers to be located close to users to efficiently handle these services and provides users with ultra-low latency content delivery and powerful computing services. However, there has been a lack of research into the architecture required to efficiently use the computing power and resources of MEC. So, this p

APA, Harvard, Vancouver, ISO, and other styles

21

Liang, Tyng-Yeu, and You-Jie Li. "A Location-Aware Service Deployment Algorithm Based on K-Means for Cloudlets." Mobile Information Systems 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/8342859.

Full text

Abstract:

Cloudlet recently was proposed to push data centers towards network edges for reducing the network latency of delivering cloud services to mobile devices. For the sake of user mobility, it is necessary to deploy and hand off services anytime anywhere for achieving the minimal network latency for users’ service requests. However, the cost of this solution usually is too high for service providers and is not effective for resource exploitation. To resolve this problem, we propose a location-aware service deployment algorithm based on K-means for cloudlets in this paper. Simply speaking, the prop

APA, Harvard, Vancouver, ISO, and other styles

22

Gao, Ying, Yangliang Liu, Quansi Wen, Hongliang Lin, and Yijian Chen. "Secure Drone Network Edge Service Architecture Guaranteed by DAG-Based Blockchain for Flying Automation under 5G." Sensors 20, no. 21 (2020): 6209. http://dx.doi.org/10.3390/s20216209.

Full text

Abstract:

With the development of the Internet of Things (IoT), the number of drones, as a consumer-level IoT device, is rapidly increasing. The existence of a large number of drones increases the risk of misoperation during manual control. Therefore, it has become an inevitable trend to realize drone flying automation. Drone flying automation mainly relies on massive drone applications and services as well as third-party service providers, which not only complicate the drone network service environment but also raise some security and privacy issues. To address these challenges, this article proposes a

APA, Harvard, Vancouver, ISO, and other styles

23

Nguyen, Ken D. "On the edge of web-based multiple sequence alignment services." Tsinghua Science and Technology 17, no. 6 (2012): 629–37. http://dx.doi.org/10.1109/tst.2012.6374364.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Javed, Muhammad Umar, Mubariz Rehman, Nadeem Javaid, Abdulaziz Aldegheishem, Nabil Alrajeh, and Muhammad Tahir. "Blockchain-Based Secure Data Storage for Distributed Vehicular Networks." Applied Sciences 10, no. 6 (2020): 2011. http://dx.doi.org/10.3390/app10062011.

Full text

Abstract:

In this paper, a blockchain-based secure data sharing mechanism is proposed for Vehicular Networks (VNs). Edge service providers are introduced along with ordinary nodes to efficiently manage service provisioning. The edge service providers are placed in the neighborhood of the ordinary nodes to ensure smooth communication between them. The huge amount of data generated by smart vehicles is stored in a distributed file storage system, known as Interplanetary File System (IPFS). It is used to tackle the issues related to data storage in centralized architectures, such as data tampering, lack of

APA, Harvard, Vancouver, ISO, and other styles

25

Lee, Juyong, Daeyoub Kim, and Jihoon Lee. "ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management." Applied Sciences 9, no. 11 (2019): 2308. http://dx.doi.org/10.3390/app9112308.

Full text

Abstract:

Recently, new mobile applications and services have appeared thanks to the rapid development of mobile devices and mobile network technology. Cloud computing has played an important role over the past decades, providing powerful computing capabilities and high-capacity storage space to efficiently deliver these mobile services to mobile users. Nevertheless, existing cloud computing delegates computing to a cloud server located at a relatively long distance, resulting in significant delays due to additional time to return processing results from a cloud server. These unnecessary delays are inco

APA, Harvard, Vancouver, ISO, and other styles

26

Ahn, Junguk, and Byung Mun Lee. "Smart Edge Broker for Location-Based Transfer between Services and Distributed Data in IoT Smart Services." Mobile Information Systems 2020 (July 7, 2020): 1–12. http://dx.doi.org/10.1155/2020/8896252.

Full text

Abstract:

Various kinds of smart sensors are being developed and released with the growth of sensor technology and Internet of Things (IoT) technology. IoT smart service can provide convenience in our daily lives with these smart sensors. However, the increasing number of mobile sensors and amount of data may increase latency. It may cause network congestion on a particular network. Therefore, we propose a Smart Edge Broker (SEB) to intelligently transmit data traffic generated by a smart city in this paper. SEB can prevent the traffic congestion from being transmitted or bypassed to a location where tr

APA, Harvard, Vancouver, ISO, and other styles

27

Nguyen, Van-Ca, Ngoc-Thanh Dinh, and Younghan Kim. "A Distributed NFV-Enabled Edge Cloud Architecture for ICN-Based Disaster Management Services." Sensors 18, no. 12 (2018): 4136. http://dx.doi.org/10.3390/s18124136.

Full text

Abstract:

In disaster management services, the dynamic binding between roles and individuals for creating response teams across multiple organizations to act during a disaster recovery time period is an important task. Existing studies have shown that IP-based or traditional telephony solutions are not well-suited to deal with such group communication. Research has also shown the advantages of leveraging information centric networking (ICN) in providing essential communication in disaster management services. However, present studies use a centralized networking architecture for disaster management, in

APA, Harvard, Vancouver, ISO, and other styles

28

Xu, Junhua. "Digital Community Management Mobile Information System Based on Edge Computing." Mobile Information Systems 2021 (August 4, 2021): 1–11. http://dx.doi.org/10.1155/2021/5842291.

Full text

Abstract:

Edge computing refers to an open platform that integrates network, computing, storage, and application core capabilities on the side close to the source of things or data and provides nearest-end services nearby. “Digital Community” refers to the use of various information technologies and methods to integrate community resources and build a network platform for interactive exchanges and services between the government, property service agencies, residents, and various intermediary organizations within the community. In order to reduce the management tasks of community managers, reduce their c

APA, Harvard, Vancouver, ISO, and other styles

29

Jiang, Lili, Xiaolin Chang, Runkai Yang, Jelena Mišić, and Vojislav B. Mišić. "Model-Based Comparison of Cloud-Edge Computing Resource Allocation Policies." Computer Journal 63, no. 10 (2020): 1564–83. http://dx.doi.org/10.1093/comjnl/bxaa062.

Full text

Abstract:

Abstract The rapid and widespread adoption of internet of things-related services advances the development of the cloud-edge framework, including multiple cloud datacenters (CDCs) and edge micro-datacenters (EDCs). This paper aims to apply analytical modeling techniques to assess the effectiveness of cloud-edge computing resource allocation policies from the perspective of improving the performance of cloud-edge service. We focus on two types of physical device (PD)-allocation policies that define how to select a PD from a CDC/EDC for service provision. The first is randomly selecting a PD, de

APA, Harvard, Vancouver, ISO, and other styles

30

Fang, Chao, Haipeng Yao, Zhuwei Wang, et al. "Edge Cache-Based ISP-CP Collaboration Scheme for Content Delivery Services." IEEE Access 7 (2019): 5277–84. http://dx.doi.org/10.1109/access.2018.2889787.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Li, Gaolei, Mianxiong Dong, Laurence T. Yang, Kaoru Ota, Jun Wu, and Jianhua Li. "Preserving Edge Knowledge Sharing Among IoT Services: A Blockchain-Based Approach." IEEE Transactions on Emerging Topics in Computational Intelligence 4, no. 5 (2020): 653–65. http://dx.doi.org/10.1109/tetci.2019.2952587.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Ren, Lingmei, Qingyang Zhang, Weisong Shi, and Yanjun Peng. "Edge-based personal computing services: fall detection as a pilot study." Computing 101, no. 8 (2019): 1199–223. http://dx.doi.org/10.1007/s00607-018-00697-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Skarlat, Olena, and Stefan Schulte. "FogFrame: a framework for IoT application execution in the fog." PeerJ Computer Science 7 (July 5, 2021): e588. http://dx.doi.org/10.7717/peerj-cs.588.

Full text

Abstract:

Recently, a multitude of conceptual architectures and theoretical foundations for fog computing have been proposed. Despite this, there is still a lack of concrete frameworks to setup real-world fog landscapes. In this work, we design and implement the fog computing framework FogFrame—a system able to manage and monitor edge and cloud resources in fog landscapes and to execute Internet of Things (IoT) applications. FogFrame provides communication and interaction as well as application management within a fog landscape, namely, decentralized service placement, deployment and execution. For serv

APA, Harvard, Vancouver, ISO, and other styles

34

Li, Guangshun, Jianrong Song, Junhua Wu, and Jiping Wang. "Method of Resource Estimation Based on QoS in Edge Computing." Wireless Communications and Mobile Computing 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/7308913.

Full text

Abstract:

With the development of Internet of Things, the number of network devices is increasing, and the cloud data center load increases; some delay-sensitive services cannot be responded to timely, which results in a decreased quality of service (QoS). In this paper, we propose a method of resource estimation based on QoS in edge computing to solve this problem. Firstly, the resources are classified and matched according to the weighted Euclidean distance similarity. The penalty factor and Grey incidence matrix are introduced to correct the similarity matching function. Then, we use regression-Marko

APA, Harvard, Vancouver, ISO, and other styles

35

Yu, Ying. "Application of Mobile Edge Computing Technology in Civil Aviation Express Marketing." Wireless Communications and Mobile Computing 2021 (May 31, 2021): 1–11. http://dx.doi.org/10.1155/2021/9932977.

Full text

Abstract:

With the popularization of mobile terminals and the rapid development of mobile communication technology, many PC-based services have placed high demands on data processing and storage functions. Cloud laptops that transfer data processing tasks to the cloud cannot meet the needs of users due to low latency and high-quality services. In view of this, some researchers have proposed the concept of mobile edge computing. Mobile edge computing (MEC) is based on the 5G evolution architecture. By deploying multiple service servers on the base station side near the edge of the user’s mobile core netw

APA, Harvard, Vancouver, ISO, and other styles

36

Li, Guang-Shun, Ying Zhang, Mao-Li Wang, Jun-Hua Wu, Qing-Yan Lin, and Xiao-Fei Sheng. "Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing." Complexity 2020 (January 20, 2020): 1–11. http://dx.doi.org/10.1155/2020/8936064.

Full text

Abstract:

With the emergence and development of the Internet of Vehicles (IoV), quick response time and ultralow delay are required. Cloud computing services are unfavorable for reducing delay and response time. Mobile edge computing (MEC) is a promising solution to address this problem. In this paper, we combined MEC and IoV to propose a specific vehicle edge resource management framework, which consists of fog nodes (FNs), data service agents (DSAs), and cars. A dynamic service area partitioning algorithm is designed to balance the load of DSA and improve the quality of service. A resource allocation

APA, Harvard, Vancouver, ISO, and other styles

37

Yan, Lei, Suzhi Cao, Yongsheng Gong, et al. "SatEC: A 5G Satellite Edge Computing Framework Based on Microservice Architecture." Sensors 19, no. 4 (2019): 831. http://dx.doi.org/10.3390/s19040831.

Full text

Abstract:

As outlined in the 3Gpp Release 16, 5G satellite access is important for 5G network development in the future. A terrestrial-satellite network integrated with 5G has the characteristics of low delay, high bandwidth, and ubiquitous coverage. A few researchers have proposed integrated schemes for such a network; however, these schemes do not consider the possibility of achieving optimization of the delay characteristic by changing the computing mode of the 5G satellite network. We propose a 5G satellite edge computing framework (5GsatEC), which aims to reduce delay and expand network coverage. T

APA, Harvard, Vancouver, ISO, and other styles

38

Zhang, Wenming, Yiwen Zhang, Qilin Wu, and Kai Peng. "Mobility-Enabled Edge Server Selection for Multi-User Composite Services." Future Internet 11, no. 9 (2019): 184. http://dx.doi.org/10.3390/fi11090184.

Full text

Abstract:

In mobile edge computing, a set of edge servers is geographically deployed near the mobile users such that accessible computing capacities and services can be provided to users with low latency. Due to user’s mobility, one fundamental and critical problem in mobile edge computing is how to select edge servers for many mobile users so that the total waiting time is minimized. In this paper, we propose a multi-user waiting time computation model about composite services and show the resource contention of the edge server among mobile users. Then, we introduce a novel and optimal Multi-user Edge

APA, Harvard, Vancouver, ISO, and other styles

39

Tang, Lujie, Bing Tang, Luyu Tang, Feiyan Guo, and Jiaming Zhang. "Reliable Mobile Edge Service Offloading Based on P2P Distributed Networks." Symmetry 12, no. 5 (2020): 821. http://dx.doi.org/10.3390/sym12050821.

Full text

Abstract:

Intelligent vehicles and their applications increasingly demand high computing power and low task delays, which poses significant challenges for providing reliable and efficient vehicle services. Mobile edge computing (MEC) is a new model that reduces the completion time of tasks and improves vehicle service by performing computation offloading near the moving vehicles. Considering the high-speed mobility of the vehicles and the unstable connection of the wireless cellular network, symmetric and geographically distributed edge servers are regarded as peers in a peer-to-peer (P2P) network, and

APA, Harvard, Vancouver, ISO, and other styles

40

Xu, Rongxu, Wenquan Jin, and Dohyeun Kim. "Microservice Security Agent Based On API Gateway in Edge Computing." Sensors 19, no. 22 (2019): 4905. http://dx.doi.org/10.3390/s19224905.

Full text

Abstract:

Internet of Things (IoT) devices are embedded with software, electronics, and sensors, and feature connectivity with constrained resources. They require the edge computing paradigm, with modular characteristics relying on microservices, to provide an extensible and lightweight computing framework at the edge of the network. Edge computing can relieve the burden of centralized cloud computing by performing certain operations, such as data storage and task computation, at the edge of the network. Despite the benefits of edge computing, it can lead to many challenges in terms of security and priv

APA, Harvard, Vancouver, ISO, and other styles

41

Tropea, Mauro, Floriano De Rango, Nicolas Nevigato, Luigi Bitonti, and Francesco Pupo. "SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm." Sensors 21, no. 11 (2021): 3638. http://dx.doi.org/10.3390/s21113638.

Full text

Abstract:

In this paper, some collision avoidance systems based on MEC in a VANET environment are proposed and investigated. Micro services at edge are considered to support service continuity in vehicle communication and advertising. This considered system makes use of cloud and edge computing, allowing to switch communication from edge to cloud server and vice versa when possible, trying to guarantee the required constraints and balancing the communication among the servers. Simulation results were used to evaluate the performance of three considered mechanisms: the first one considering only edge wit

APA, Harvard, Vancouver, ISO, and other styles

42

Zhao, Xuhui, Jianghui Liu, Baofeng Ji, and Lin Wang. "Service Migration Policy Optimization considering User Mobility for E-Healthcare Applications." Journal of Healthcare Engineering 2021 (June 19, 2021): 1–13. http://dx.doi.org/10.1155/2021/9922876.

Full text

Abstract:

Mobile edge computing (MEC) is an emerging technology that provides cloud services at the edge of network to enable latency-critical and resource-intensive E-healthcare applications. User mobility is common in MEC. User mobility can result in an interruption of ongoing edge services and a dramatic drop in quality of service. Service migration has a great potential to address the issues and brings inevitable cost for the system. In this paper, we propose a service migration solution based on migration zone and formulate service migration cost with a comprehensive model that captures the key cha

APA, Harvard, Vancouver, ISO, and other styles

43

Zhang, Jianbing, Bowen Ma, and Jiwei Huang. "Deploying GIS Services into the Edge: A Study from Performance Evaluation and Optimization Viewpoint." Security and Communication Networks 2020 (October 31, 2020): 1–13. http://dx.doi.org/10.1155/2020/8822990.

Full text

Abstract:

Geographic information system (GIS) is an integrated collection of computer software and data used to view and manage information about geographic places, analyze spatial relationships, and model spatial processes. With the growing popularity and wide application of GIS in reality, performance has become a critical requirement, especially for mobile GIS services. To attack this challenge, this paper tries to optimize the performance of GIS services by deploying them into edge computing architecture which is an emerging computational model that enables efficient offloading of service requests t

APA, Harvard, Vancouver, ISO, and other styles

44

Gilly, Katja, Sonja Filiposka, Salvador Alcaraz Carrasco, and Anastas Mishev. "Dynamic Resource Management of Real-Time Edge Services for Intelligent Vehicular Networks: A Case Study." Elektronika ir Elektrotechnika 25, no. 4 (2019): 58–61. http://dx.doi.org/10.5755/j01.eie.25.4.23971.

Full text

Abstract:

The Internet of Vehicles requires high bandwidth and low latency services to unleash the potential of fully connected vehicles. Thus, the offloading proposals that successfully manage massive real-time service requests from vehicle nodes are needed. In this paper, we analyse the dynamic resource management for intelligent vehicular networks based on Multi-access Edge Computing architecture services. Using a combination of CloudSim and SUMO simulators, we present a case study of infotainment services in the city centre of Alicante, in Spain, that shows a high degree of optimality both in servic

APA, Harvard, Vancouver, ISO, and other styles

45

Xie, Bing. "Open Platform for Intelligent R&D and Technology Innovation Management Service Based on Edge Computing." Wireless Communications and Mobile Computing 2021 (September 23, 2021): 1–9. http://dx.doi.org/10.1155/2021/4942016.

Full text

Abstract:

The rapid development of mobile Internet and Internet of Things makes the future network face higher speed, lower delay, and higher reliability. Because this edge computing becomes the most likely network architecture to realize the vision of intelligent R&D and technological innovation, it has attracted wide attention. Edge computing can meet the high computing needs of mobile devices with limited resources by using computing-intensive tasks from the mobile device open platform to nearby edge computing servers. This paper mainly studies the open platform of intelligent R&D and technol

APA, Harvard, Vancouver, ISO, and other styles

46

Xu, Yang, Guojun Wang, Jidian Yang, Ju Ren, Yaoxue Zhang, and Cheng Zhang. "Towards Secure Network Computing Services for Lightweight Clients Using Blockchain." Wireless Communications and Mobile Computing 2018 (November 13, 2018): 1–12. http://dx.doi.org/10.1155/2018/2051693.

Full text

Abstract:

The emerging network computing technologies have significantly extended the abilities of the resource-constrained IoT devices through the network-based service sharing techniques. However, such a flexible and scalable service provisioning paradigm brings increased security risks to terminals due to the untrustworthy exogenous service codes loading from the open network. Many existing security approaches are unsuitable for IoT environments due to the high difficulty of maintenance or the dependencies upon extra resources like specific hardware. Fortunately, the rise of blockchain technology has

APA, Harvard, Vancouver, ISO, and other styles

47

Aljarah, Maha, Mohammad Shurman, and Sharhabeel Alnabelsi. "Cooperative-hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 296. http://dx.doi.org/10.11591/ijece.v10i1.pp296-307.

Full text

Abstract:

<span lang="EN-US">Using mobile and Internet of Things (IoT) applications is becoming very popular and obtained researchers’ interest and commercial investment, in order to fulfill future vision and the requirements for smart cities. These applications have common demands such as fast response, distributed nature, and awareness of service location. However, these requirements’ nature cannot be satisfied by central systems services that reside in the clouds. Therefore, edge computing paradigm has emerged to satisfy such demands, by providing an extension for cloud resources at the network

APA, Harvard, Vancouver, ISO, and other styles

48

Spatharakis, Dimitrios, Ioannis Dimolitsas, Dimitrios Dechouniotis, et al. "A scalable Edge Computing architecture enabling smart offloading for Location Based Services." Pervasive and Mobile Computing 67 (September 2020): 101217. http://dx.doi.org/10.1016/j.pmcj.2020.101217.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Enokido, Tomoya, David Taniar, and Omar Khadeer Hussain. "Special Issue: Intelligent Edge, Fog and Internet of Things (IoT)-based Services." Future Generation Computer Systems 109 (August 2020): 710–11. http://dx.doi.org/10.1016/j.future.2020.03.041.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Zhao, Yi, Ke Xu, Haiyang Wang, Bo Li, and Ruoxi Jia. "Stability-Based Analysis and Defense against Backdoor Attacks on Edge Computing Services." IEEE Network 35, no. 1 (2021): 163–69. http://dx.doi.org/10.1109/mnet.011.2000265.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!