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Advances, Systems and Applications

Journal of Cloud Computing Cover Image

Blockchain-enabled Decentralized Cloud/Edge Computing

Cloud/Edge computing is powering many of today’s internet-based applications and services. Nevertheless, how data is shared and stored, how people collaborate, and how to guarantee security are important challenges for cloud/edge computing. Meanwhile, the traditional centralized cloud/edge architecture cannot meet the requirements of digital business infrastructure. Blockchain is considered an adaptable alternative for inaugurating a trustful distributed platform with characteristics such as interoperation, tamper-resistance, decentralization, and so on. Consequently, the natural distributed structure is suitable for cloud/edge computing, which can be used to establish decentralized cloud/edge computing. Although progress made in blockchain-based decentralized cloud/edge computing over the past few years, there is still a plethora of challenges to be addressed, including poor scalability, degree of decentralization, and the impact of integration on the system performance. Therefore, exploring the system compatibility, system architecture, integrated system interface, etc. is the key to solving these challenges, and then promotes the cornerstone of the blockchain-cloud combination development. This special issue invites academic and industry researchers to work on blockchain-based cloud/edge computing, including technologies, theories, services, architectures, and protocols. This special issue will provide researchers with a platform to showcase the latest cutting-edge research and shed light on future directions in this exciting field. We welcome original research and review articles.

Potential topics include but are not limited to the following:

- Cloud/edge computing system architecture compatible with a public blockchain, consortium blockchain, and private blockchain

- New integrated architecture design for blockchain-based decentralized cloud/edge computing

- Efficient data sharing/storage strategy for blockchain-based decentralized cloud/edge computing

- Adaptive consensus algorithms mechanism for blockchain-based decentralized cloud/edge computing

- Blockchain-based data deduplication in cloud/edge computing

- Blockchain-based decentralized cloud/edge computing systems tailored for domain-specific applications

- Multidimensional resource allocation for blockchain-based decentralized cloud/edge computing

- Performance metric design, modeling, and interface project for blockchain-based decentralized cloud/edge computing

- Security and privacy for blockchain-based decentralized cloud/edge computing

- Smart contract-based adaptive resource scheduling approach for blockchain-based decentralized cloud/edge computing

- Protocols for access control for blockchain-based decentralized cloud/edge computing

- Efficient data retrieval methods for blockchain-based decentralized cloud/edge computing

Guest Editors

Prof. Qingqi Pei, Xidian University, China; 

Prof. Kaoru Ota, Muroran Institute of Technology, Japan; 

Dr. Martin Gilje Jaatun, SINTEF Digital, Norway;

Dr. Jie Feng, Nanyang Technological University, Singapore; 

Dr. Shen Su, Guangzhou University, China; 

Submission deadline: 31 March, 2023

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    Authors: Li Zhu, Qingheng Zhuang, Hailin Jiang, Hao Liang, Xinjun Gao and Wei Wang
    Citation: Journal of Cloud Computing 2023 12:147
  2. 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
  3. 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
  4. 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
  5. With the introduction of emerging technologies such as cloud computing, the railway communication network has the characteristics of complex structure and blurred boundaries, which leads to a series of securit...

    Authors: Yuan Feng, Zhangdui Zhong, Xiaofang Sun, Lei Wang, Yunlong Lu and Yongsheng Zhu
    Citation: Journal of Cloud Computing 2023 12:62
  6. In the era of big data, an ocean of data generated by Internet of Things (IoT) devices will be analyzed and processed by cloud computing. However, outsourcing of data can lead to leakage of user privacy to tho...

    Authors: Qian Zhou, Chengzhe Lai, Qili Guo, Haoyan Ma and Dong Zheng
    Citation: Journal of Cloud Computing 2022 11:93

Annual Journal Metrics

  • 2022 Citation Impact
    4.0 - 2-year Impact Factor
    4.4 - 5-year Impact Factor
    1.711 - SNIP (Source Normalized Impact per Paper)
    0.976 - SJR (SCImago Journal Rank)

    2023 Speed
    10 days submission to first editorial decision for all manuscripts (Median)
    116 days submission to accept (Median)

    2023 Usage 
    49 Altmetric mentions 

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