Titlebook: Distributed Applications and Interoperable Systems; 23rd IFIP WG 6.1 Int Marta Pati?o-Martínez,Jo?o Paulo Conference proceedings 2023 IFIP

deteriorate

書目名稱Distributed Applications and Interoperable Systems影響因子(影響力)




書目名稱Distributed Applications and Interoperable Systems影響因子(影響力)學科排名




書目名稱Distributed Applications and Interoperable Systems網(wǎng)絡(luò)公開度




書目名稱Distributed Applications and Interoperable Systems網(wǎng)絡(luò)公開度學科排名




書目名稱Distributed Applications and Interoperable Systems被引頻次




書目名稱Distributed Applications and Interoperable Systems被引頻次學科排名




書目名稱Distributed Applications and Interoperable Systems年度引用




書目名稱Distributed Applications and Interoperable Systems年度引用學科排名




書目名稱Distributed Applications and Interoperable Systems讀者反饋




書目名稱Distributed Applications and Interoperable Systems讀者反饋學科排名

豐滿有漂亮

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

無聊點好

grandiose

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

精美食品

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

不適

Eric Rougier,Fran?ois 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

不適

Eric Rougier,Fran?ois 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

愛了嗎

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

cardiovascular

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

FER

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