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Titlebook: Big Data Platforms and Applications; Case Studies, Method Florin Pop,Gabriel Neagu Book 2021 Springer Nature Switzerland AG 2021 Big Data P

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發(fā)表于 2025-3-21 16:58:27 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Big Data Platforms and Applications
期刊簡稱Case Studies, Method
影響因子2023Florin Pop,Gabriel Neagu
視頻videohttp://file.papertrans.cn/186/185654/185654.mp4
發(fā)行地址Presents a comprehensive review of the latest developments in big data platforms.Proposes state-of-the-art technological solutions for important issues in big data processing, resource and data manage
學科分類Computer Communications and Networks
圖書封面Titlebook: Big Data Platforms and Applications; Case Studies, Method Florin Pop,Gabriel Neagu Book 2021 Springer Nature Switzerland AG 2021 Big Data P
影響因子.This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. .The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge..The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are neededfor real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on th
Pindex Book 2021
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,A Survey on Privacy Enhancements for?Massively Scalable Storage Systems in?Public Cloud Environmentider. However, both generic use cases are subject to compromise due to viruses or human errors. Another security?risk which arises for companies is caused by the fact that a single entity with access to the key could compromise trade secrets, thus causing irremediable loses.
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Perfect Codes and Uniformly Packed Codes,nd discusses sustainability requirements in the smart city context. By exploiting the available dataset recorded in ENEA DC, the authors evaluate energy productivity at different granularity levels: individual jobs, queues and DC cluster. Specifically, portions of energy used for productive computin
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https://doi.org/10.1007/978-1-4613-9422-8ider. However, both generic use cases are subject to compromise due to viruses or human errors. Another security?risk which arises for companies is caused by the fact that a single entity with access to the key could compromise trade secrets, thus causing irremediable loses.
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