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International Journal of Grid and Utility Computing最新文献

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An event-driven and lightweight proactive auto-scaling architecture for cloud applications 用于云应用程序的事件驱动的轻量级主动自动扩展架构
IF 0.5 Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10058856
Ahsan Habib, Partha Protim Paul, Uttom Akash
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引用次数: 0
Strongly correlated high utility item-sets recommendation in e-commerce applications using EGUI-tree over data stream 在数据流上使用egui树的电子商务应用程序中强相关的高实用项目集推荐
IF 0.5 Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10057772
M. K. Prasad, S. Chintalapudi, P. A. Reddy
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引用次数: 0
Developing software predictive model for examining software bugs using machine learning 开发软件预测模型,用于使用机器学习检查软件缺陷
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10060445
Monica Mehrotra, Swati Singh, Taran Singh Bharti
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引用次数: 0
Cloud computing data privacy protection method based on blockchain 基于区块链的云计算数据隐私保护方法
IF 0.5 Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10058853
Yonghui Ren, Chenglin Li, Yanxu Jin, Yan Shi, Donghui Mei, Shenzhang Li, Wenwei Su, Jing Zhou, Shaolong Li, Lin Wang, Yingjun He, Wenhui Ouyang
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引用次数: 0
Optimising sports marketing strategy by the internet of things and blockchain technology 利用物联网和区块链技术优化体育营销策略
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.131008
Kun Tang
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引用次数: 1
Fine-grained access control of files stored in cloud storage with traceable and revocable multi-authority CP-ABE scheme 使用可跟踪和可撤销的多权威CP-ABE方案对存储在云存储中的文件进行细粒度访问控制
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.132615
Bharati Mishra, Debasish Jena, Srikanta Patnaik
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引用次数: 0
New principles of finding and removing elements of mathematical model for reducing computational and time complexity 寻找和去除数学模型元素的新原理,以降低计算和时间复杂度
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.132625
Yaroslav Matviychuk, Natalia Kryvinska, Nataliya Shakhovska, Aneta Poniszewska Maranda
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引用次数: 0
Efficient data storage: adaptively changing chunk size in cloud computing storage systems 高效的数据存储:在云计算存储系统中自适应改变数据块大小
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.133455
Chalabi Baya, Slimani Yahya
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引用次数: 0
SMGSAF: a secure multi-geocasting scheme for opportunistic networks SMGSAF:一种针对机会网络的安全多地理广播方案
Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.133452
Jagdeep Singh, Sanjay Kumar Dhurandher
This paper proposes a novel Secure Multi-Geocasting Scheme for IoT-based Opportunistic Networks called 'SMGSAF', which uses secret sharing and disjoint path routing to secure the privacy of messages. Encryption is a proven way to ensure this but classical encryption techniques are not well suited for the opportunistic paradigm. Therefore we have used secret sharing and disjoint path routing to protect the privacy of messages. The mathematical analysis of the proposed SMGSAF protocol provides the intended security but at the expense of performance, which is within acceptable limits. Simulations are conducted using the ONE Simulator, showing that when time-to-live is varied, (1) the proposed SMGSAF scheme outperforms MGSAF by 14.05%, 9.4%, 5.81% respectively in terms of delivery probability, overhead ratio, and average latency; (2) it also outperforms GSAF by 16.17%, 9.2%, 6.85%, respectively in terms of delivery probability, overhead ratio, and average latency.
本文提出了一种新的基于物联网机会网络的安全多地理广播方案,称为“SMGSAF”,该方案使用秘密共享和不连接路径路由来保护消息的隐私。加密是一种经过验证的方法来确保这一点,但传统的加密技术并不适合机会主义范式。因此,我们采用秘密共享和不相交路径路由来保护消息的隐私。提出的SMGSAF协议的数学分析提供了预期的安全性,但以牺牲性能为代价,这是在可接受的范围内。在ONE模拟器上进行了仿真,结果表明:(1)SMGSAF方案在传递概率、开销比和平均延迟方面分别比MGSAF方案高出14.05%、9.4%和5.81%;(2)在传递概率、开销比和平均延迟方面,其性能分别优于GSAF 16.17%、9.2%和6.85%。
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引用次数: 0
Collaborative ambient intelligence-based demand variation prediction model 基于协同环境智能的需求变化预测模型
IF 0.5 Q3 Mathematics Pub Date : 2023-01-01 DOI: 10.1504/ijguc.2023.10058797
Israr Ahmed, Muhammed Adnan, M. Naveed, Yasir Javed
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引用次数: 0
期刊
International Journal of Grid and Utility Computing
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