Titlebook: Distributed Applications and Interoperable Systems; 23rd IFIP WG 6.1 Int Marta Patiño-Martínez,João Paulo Conference proceedings 2023 IFIP

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书目名称Distributed Applications and Interoperable Systems影响因子(影响力)




书目名称Distributed Applications and Interoperable Systems影响因子(影响力)学科排名




书目名称Distributed Applications and Interoperable Systems网络公开度




书目名称Distributed Applications and Interoperable Systems网络公开度学科排名




书目名称Distributed Applications and Interoperable Systems被引频次




书目名称Distributed Applications and Interoperable Systems被引频次学科排名




书目名称Distributed Applications and Interoperable Systems年度引用




书目名称Distributed Applications and Interoperable Systems年度引用学科排名




书目名称Distributed Applications and Interoperable Systems读者反馈




书目名称Distributed Applications and Interoperable Systems读者反馈学科排名

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Sheldon H. Danziger,Kent E. Portney Our study focuses on the access patterns observed from one of the most popular IPFS gateways located in North America, and analyzes these access patterns in light of one of the most common assumptions made in regard to the access pattern of decentralized content sharing systems: that the access pat

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Emmanuel Saffa Abdulai,Ina Kubbeuction of eventual consistency has a huge impact on the complexity of the application business logic design. Recent proposals to use transactional causal consistency in serverless computing and microservices seem promising because it reduces the number of possible concurrent execution anomalies that

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Emmanuel Saffa Abdulai,Ina Kubbees have shown that examples in a dataset are not of equal importance for model training and can be categorized based on quantifiable measures reflecting a notion of “hardness” or “importance”. In this work, we conduct an empirical study of the impact of importance-aware partitioning of the dataset e

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Eric Rougier,François Combarnousof hybrid cloud-edge technologies that constitute a computational continuum. One key feature of these systems is the ability to scale in size, embracing a wide number of heterogeneous devices and applications. This complexity, in turn, impacts the monitoring and control systems that need, at the sam

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Eric Rougier,François Combarnousion. In addition, applications that enable communication and data sharing still heavily rely on centralized networks. We believe that this problem is mainly due to the lack of tools to help programmers develop and test applications with many devices in edge environments..To help programmers develop

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https://doi.org/10.1007/978-3-031-35260-7Distributed computing methodologies; Data management systems; Machine learning; Edge Computing; Web3; Sca

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978-3-031-35259-1IFIP International Federation for Information Processing 2023

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Distributed Applications and Interoperable Systems978-3-031-35260-7Series ISSN 0302-9743 Series E-ISSN 1611-3349