000 04092nam a22005175i 4500
001 978-3-031-01895-4
003 DE-He213
005 20240730163443.0
007 cr nn 008mamaa
008 220601s2013 sz | s |||| 0|eng d
020 _a9783031018954
_9978-3-031-01895-4
024 7 _a10.1007/978-3-031-01895-4
_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
100 1 _aAgrawal, Divyakant.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978624
245 1 0 _aData Management in the Cloud
_h[electronic resource] /
_cby Divyakant Agrawal, Sudipto Das, Amr El Abbadi.
250 _a1st ed. 2013.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aXVII, 120 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Data Management,
_x2153-5426
505 0 _aIntroduction -- Distributed Data Management -- Cloud Data Management: Early Trends -- Transactions on Co-located Data -- Transactions on Distributed Data -- Multi-tenant Database Systems -- Concluding Remarks.
520 _aCloud computing has emerged as a successful paradigm of service-oriented computing and has revolutionized the way computing infrastructure is used. This success has seen a proliferation in the number of applications that are being deployed in various cloud platforms. There has also been an increase in the scale of the data generated as well as consumed by such applications. Scalable database management systems form a critical part of the cloud infrastructure. The attempt to address the challenges posed by the management of big data has led to a plethora of systems. This book aims to clarify some of the important concepts in the design space of scalable data management in cloud computing infrastructures. Some of the questions that this book aims to answer are: the appropriate systems for a specific set of application requirements, the research challenges in data management for the cloud, and what is novel in the cloud for database researchers? We also aim to address one basic question:whether cloud computing poses new challenges in scalable data management or it is just a reincarnation of old problems? We provide a comprehensive background study of state-of-the-art systems for scalable data management and analysis. We also identify important aspects in the design of different systems and the applicability and scope of these systems. A thorough understanding of current solutions and a precise characterization of the design space are essential for clearing the "cloudy skies of data management" and ensuring the success of DBMSs in the cloud, thus emulating the success enjoyed by relational databases in traditional enterprise settings. Table of Contents: Introduction / Distributed Data Management / Cloud Data Management: Early Trends / Transactions on Co-located Data / Transactions on Distributed Data / Multi-tenant Database Systems / Concluding Remarks.
650 0 _aComputer networks .
_931572
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 1 4 _aComputer Communication Networks.
_978625
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aDas, Sudipto.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978626
700 1 _aAbbadi, Amr El.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978627
710 2 _aSpringerLink (Online service)
_978628
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031007675
776 0 8 _iPrinted edition:
_z9783031030239
830 0 _aSynthesis Lectures on Data Management,
_x2153-5426
_978629
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01895-4
912 _aZDB-2-SXSC
942 _cEBK
999 _c84622
_d84622