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Advances, Systems and Applications

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Page 4 of 15

  1. As a new approach to machine learning, Federated learning enables distributned traiing on edge devices and aggregates local models into a global model. The edge devices that participate in federated learning a...

    Authors: Deyu Zhang, Wang Sun, Zi-Ang Zheng, Wenxin Chen and Shiwen He
    Citation: Journal of Cloud Computing 2023 12:153
  2. The transformative impact of cloud computing has permeated various industries, reshaping traditional business models and accelerating digital transformations. In the sports industry, the adoption of cloud comp...

    Authors: Lei Xiao, Yang Cao, Yihe Gai, Juntong Liu, Ping Zhong and Mohammad Mahdi Moghimi
    Citation: Journal of Cloud Computing 2023 12:152
  3. The investigation into intelligent acceptance systems for distribution automation terminals has spanned over a decade, furnishing indispensable assistance to the power industry. The integration of cutting-edge...

    Authors: Mingzeng Zhu, Mingzhen Liang, Hefeng Li, Ying Lu and Min Pang
    Citation: Journal of Cloud Computing 2023 12:149
  4. With the speedy advancement and accelerated popularization of 5G networks, the provision and request of services through mobile smart terminals have become a hot topic in the development of mobile service comp...

    Authors: Hongfan Ye, Buqing Cao, Jianxun Liu, Pei Li, Bing Tang and Zhenlian Peng
    Citation: Journal of Cloud Computing 2023 12:148
  5. As urban rail transit construction advances with information technology, modernization, information, and intelligence have become the direction of development. A growing number of cloud platforms are being dev...

    Authors: Li Zhu, Qingheng Zhuang, Hailin Jiang, Hao Liang, Xinjun Gao and Wei Wang
    Citation: Journal of Cloud Computing 2023 12:147
  6. Artificial intelligence (AI) plays a key role in the distribution automation system (DAS). By using artificial intelligence technology, it is possible to intelligently verify and monitor distribution automatio...

    Authors: Hongwei Li, Qiyuan Xu, Qilin Wang and Bin Tang
    Citation: Journal of Cloud Computing 2023 12:146
  7. This paper presents an interesting case study on Legacy Data Integration (LDI for short) for a Regional Cloud Arbitration Court. Due to the inconsistent structure and presentation, legacy arbitration cases can...

    Authors: Jie Song, Haifei Fu, Tianzhe Jiao and Dongqi Wang
    Citation: Journal of Cloud Computing 2023 12:145
  8. Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses Hadoop Distributed File System (HDFS) for storing data and uses MapReduce to process that data. MapReduce is a paralle...

    Authors: Soudabeh Hedayati, Neda Maleki, Tobias Olsson, Fredrik Ahlgren, Mahdi Seyednezhad and Kamal Berahmand
    Citation: Journal of Cloud Computing 2023 12:143
  9. Content Delivery Networks (CDNs) have grown in popularity as a result of the ongoing development of the Internet and its applications. The workload on streaming media service systems can be significantly decre...

    Authors: M. Sasikumar, P. Jesu Jayarin and F. Sangeetha Francelin Vinnarasi
    Citation: Journal of Cloud Computing 2023 12:139
  10. Load balancing is major issue in federated cloud environment. Various services can be offered by different cloud service providers. As per current working environment cloud computing is used in major applicati...

    Authors: S. Rajkumar and Jeevaa Katiravan
    Citation: Journal of Cloud Computing 2023 12:138
  11. Billions of gadgets are already online, making the IoT an essential aspect of daily life. However, the interconnected nature of IoT devices also leaves them open to cyber threats. The quantity and sophisticati...

    Authors: Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Simaiya, Manel Ayadi, Nouf A. Almujally and Amel Ksibi
    Citation: Journal of Cloud Computing 2023 12:137

    The Correction to this article has been published in Journal of Cloud Computing 2023 12:144

  12. Aerial base stations (AeBSs), as crucial components of air-ground integrated networks, are widely employed in cloud computing, disaster relief, and various applications. How to quickly and efficiently deploy m...

    Authors: Lei Liu, Haoran He, Fei Qi, Yikun Zhao, Weiliang Xie, Fanqin Zhou and Lei Feng
    Citation: Journal of Cloud Computing 2023 12:136
  13. IoT systems are becoming an essential part of our environment. Smart cities, smart manufacturing, augmented reality, and self-driving cars are just some examples of the wide range of domains, where the applica...

    Authors: Amjad Ullah, Tamas Kiss, József Kovács, Francesco Tusa, James Deslauriers, Huseyin Dagdeviren, Resmi Arjun and Hamed Hamzeh
    Citation: Journal of Cloud Computing 2023 12:135
  14. In the current era, a tremendous volume of data has been generated by using web technologies. The association between different devices and services have also been explored to wisely and widely use recent tech...

    Authors: Syed Mohamed Thameem Nizamudeen
    Citation: Journal of Cloud Computing 2023 12:134
  15. Cloud computing is an evolving paradigm whose adoption has been increasing over the last few years. This fact has led to the growth of the cloud computing market, together with fierce competition for the leadi...

    Authors: Pablo C. Cañizares, Alberto Núñez, Adrián Bernal, M. Emilia Cambronero and Adam Barker
    Citation: Journal of Cloud Computing 2023 12:133
  16. In resource constrained edge environment, multiple service providers can compete to rent the limited resources to cache their service instances on edge servers close to end users, thereby significantly reducin...

    Authors: Binbin Huang, Ziqi Ran, Dongjin Yu, Yuanyuan Xiang, Xiaoying Shi, Zhongjin Li and Zhengqian Xu
    Citation: Journal of Cloud Computing 2023 12:132
  17. With the development of communication technology and mobile edge computing (MEC), self-driving has received more and more research interests. However, most object detection tasks for self-driving vehicles are ...

    Authors: Lili Nie, Huiqiang Wang, Guangsheng Feng, Jiayu Sun, Hongwu Lv and Hang Cui
    Citation: Journal of Cloud Computing 2023 12:131
  18. The unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) system leverages the high maneuverability of UAVs to provide efficient computing services to terminals. A dynamic deployment algorithm bas...

    Authors: Suqin Zhang, Lin Zhang, Fei Xu, Song Cheng, Weiya Su and Sen Wang
    Citation: Journal of Cloud Computing 2023 12:130
  19. The rapid growth of Internet users was the motivation of the emerge appearance of new computing models such as cloud computing, fog computing and edge computing. For this reason, the multi-server’s architectur...

    Authors: Fatty M. Salem, Maha Safwat, Rasha Fathy and Shahira Habashy
    Citation: Journal of Cloud Computing 2023 12:128
  20. The growth of cloud computing is hindered by concerns about privacy and security. Despite the widespread use of network intrusion detection systems (NIDS), the issue of false positives remains prevalent. Furth...

    Authors: Abdel-Rahman Al-Ghuwairi, Yousef Sharrab, Dimah Al-Fraihat, Majed AlElaimat, Ayoub Alsarhan and Abdulmohsen Algarni
    Citation: Journal of Cloud Computing 2023 12:127
  21. As the cloud services market grows, cloud management tools that detect network anomalies in a non-intrusive manner are critical to improve users’ experience of cloud services. However, some network anomalies, ...

    Authors: Yunfeng Duan, Chenxu Li, Guotao Bai, Guo Chen, Fanqin Zhou, Jiaxing Chen, Zehua Gao and Chun Zhang
    Citation: Journal of Cloud Computing 2023 12:126
  22. Cloud computing is the most widely adapted computing model to process scientific workloads in remote servers accessed through the internet. In the IaaS cloud, the virtual machine (VM) is the execution unit tha...

    Authors: Arunkumar Gopu, Kalaipriyan Thirugnanasambandam, Rajakumar R, Ahmed Saeed AlGhamdi, Sultan S. Alshamrani, K. Maharajan and Mamoon Rashid
    Citation: Journal of Cloud Computing 2023 12:124
  23. The evolution of the Internet of Things technology (IoT) has boosted the drastic increase in network traffic demand. Caching and multicasting in the multi-clouds scenario are effective approaches to alleviate ...

    Authors: Ruohan Shi, Qilin Fan, Shu Fu, Xu Zhang, Xiuhua Li and Meng Chen
    Citation: Journal of Cloud Computing 2023 12:123
  24. Multi-source data fusion techniques are widely applied in dynamic target detection scenarios, such as target situational awareness, radar signal resolution, and feature fusion labeling. Currently, techniques i...

    Authors: Nan Yang, Li Yang, Xingzhou Du, Xunyi Guo, Fanke Meng and Yuwen Zhang
    Citation: Journal of Cloud Computing 2023 12:122
  25. Under the trend of green development, the traditional fossil fuel and centralized energy management models are no longer applicable, and distributed energy systems that can efficiently utilize clean energy hav...

    Authors: Ruohan Wang, Yunlong Chen, Entang Li, Lixuan Che, Hongwei Xin, Jing Li and Xueyao Zhang
    Citation: Journal of Cloud Computing 2023 12:121
  26. The rapid development of the Internet of Vehicles (IoV) along with the emergence of intelligent applications have put forward higher requirements for massive task offloading. Even though Mobile Edge Computing ...

    Authors: Chunhai Li, Qiyong Chen, Mingfeng Chen, Zhaoyu Su, Yong Ding, Dapeng Lan and Amir Taherkordi
    Citation: Journal of Cloud Computing 2023 12:120
  27. In vehicular edge computing, the low-delay services are invoked by the vehicles from the edge clouds while the vehicles moving on the roads. Because of the insufficiency of computing capacity and storage resou...

    Authors: Yuze Huang, Beipeng Feng, Yuhui Cao, Zhenzhen Guo, Miao Zhang and Boren Zheng
    Citation: Journal of Cloud Computing 2023 12:119
  28. Cloud Computing plays a pivotal role in facilitating the Internet of Things (IoT) and its diverse applications. Users frequently access and store data on remote servers in Cloud Computing environments through ...

    Authors: Xiaolong Li, Tingting Wang, Wei Zhang, Xu Niu, Tingyu Zhang, Tengteng Zhao, Yongji Wang and Yufei Wang
    Citation: Journal of Cloud Computing 2023 12:118
  29. As Artificial Intelligence (AI) becomes increasingly prevalent, Deep Neural Networks (DNNs) have become a crucial tool for developing and advancing AI applications. Considering limited computing and energy res...

    Authors: Jianbing Zhang, Shufang Ma, Zexiao Yan and Jiwei Huang
    Citation: Journal of Cloud Computing 2023 12:116
  30. The booming growth of cloud manufacturing services provides users with more choices. However, cloud manufacturing service recommendation remains a challenging issue due to numerous similar candidate services a...

    Authors: Qiang Hu, Haoquan Qi, Wen Huang and Minghua Liu
    Citation: Journal of Cloud Computing 2023 12:115
  31. The Industrial Internet of Things (IIoT) enables the improvement of the productivity and intelligent level of factory. The procedure of product quality inspection has generally adopted machine intelligence alg...

    Authors: Pengfei Hu, Chunming He, Yiming Zhu and Tianhui Li
    Citation: Journal of Cloud Computing 2023 12:113
  32. Hyperparameter optimization (HPO) of deep neural networks plays an important role of performance and efficiency of detection networks. Especially for cloud computing, automatic HPO can greatly reduce the netwo...

    Authors: Jianlong Zhang, Tianhong Wang, Bin Wang, Chen Chen and Gang Wang
    Citation: Journal of Cloud Computing 2023 12:109
  33. The serverless computing model, implemented by Function as a Service (FaaS) platforms, can offer several advantages for the deployment of data analytics solutions in IoT environments, such as agile and on-dema...

    Authors: Rafael Moreno-Vozmediano, Eduardo Huedo, Rubén S. Montero and Ignacio M. Llorente
    Citation: Journal of Cloud Computing 2023 12:108
  34. Fog computing aims to mitigate data communication delay by deploying fog nodes to provide servers in the proximity of users and offload resource-hungry tasks that would otherwise be sent to distant cloud serve...

    Authors: Huan Chen, Wei-Yan Chang, Tai-Lin Chiu, Ming-Chao Chiang and Chun-Wei Tsai
    Citation: Journal of Cloud Computing 2023 12:105

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 3.7
    5-year Journal Impact Factor: 3.8
    Source Normalized Impact per Paper (SNIP): 1.406
    SCImago Journal Rank (SJR): 0.995

    Speed 2023
    Submission to first editorial decision (median days): 12
    Submission to acceptance (median days): 116

    Usage 2023
    Downloads: 733,672
    Altmetric mentions: 49

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