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020 _a9783030388362
_9978-3-030-38836-2
024 7 _a10.1007/978-3-030-38836-2
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
245 1 0 _aBig Data Platforms and Applications
_h[electronic resource] :
_bCase Studies, Methods, Techniques, and Performance Evaluation /
_cedited by Florin Pop, Gabriel Neagu.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXVII, 290 p. 97 illus., 60 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aComputer Communications and Networks,
_x2197-8433
505 0 _a1. Data Center for Smart Issues: Energy and Sustainability Issue -- 2 Apache Spark for Digitalization, Analysis and Optimization of Discrete Manufacturing Process -- 3. An Empirica Study on Teleworking among Slovakia's Office-Based Academics -- 4. DSS for Pro-Active Flood Management of Water Reservoir Systems -- 5. exhiSTORY: Small Self-Organizing Exhibits -- 6. IoT Cloud Design Patterns -- 7. Cloud-based mHealth Streaming for IoT Processing -- 8. A System for Monitoring Water Quality Parameters in Rivers: Challenges and Solutions.
520 _aThis 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. Features: * 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 management, fault tolerance, and monitoring and controlling * Covers basic theory, new methodologies, innovation trends, experimental results, and implementations of real-world applications 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 needed for 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 the properties of the data management service. Dr. Florin Pop is a professor at the Department of Computer Science and Engineering at the University Politehnica of Bucharest, Romania, and a senior researcher (1st degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Researchand Development in Informatics, Bucharest, Romania. Dr. Gabriel Neagu is a senior researcher (1st degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Research and Development in Informatics, Bucharest, Romania.
650 0 _aComputer networks .
650 0 _aBig data.
650 0 _aInformation retrieval.
650 0 _aComputer architecture.
650 0 _aData mining.
650 0 _aBusiness information services.
650 1 4 _aComputer Communication Networks.
650 2 4 _aBig Data.
650 2 4 _aData Storage Representation.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aIT in Business.
700 1 _aPop, Florin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNeagu, Gabriel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030388355
776 0 8 _iPrinted edition:
_z9783030388379
776 0 8 _iPrinted edition:
_z9783030388386
830 0 _aComputer Communications and Networks,
_x2197-8433
856 4 0 _uhttps://doi.org/10.1007/978-3-030-38836-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178014
_d178014