000 | 04105nam a22006135i 4500 | ||
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001 | 978-3-030-39863-7 | ||
003 | DE-He213 | ||
005 | 20240507152729.0 | ||
007 | cr nn 008mamaa | ||
008 | 200720s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030398637 _9978-3-030-39863-7 |
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024 | 7 |
_a10.1007/978-3-030-39863-7 _2doi |
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072 | 7 |
_aKJD _2bicssc |
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_aBUS041000 _2bisacsh |
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_aKJD _2thema |
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082 | 0 | 4 |
_a658.4062 _223 |
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_a658.514 _223 |
245 | 1 | 0 |
_aManaging Distributed Cloud Applications and Infrastructure _h[electronic resource] : _bA Self-Optimising Approach / _cedited by Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Palgrave Macmillan, _c2020. |
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300 |
_aXXIII, 163 p. 62 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aPalgrave Studies in Digital Business & Enabling Technologies, _x2662-1290 |
|
505 | 0 | _aChapter 1 -- Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds -- Chapter 2 -- RECAP Data Acquisition and Analytics Methodology -- Chapter 3 - Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications -- Chapter 4 - Application Placement and Infrastructure Optimisation -- Chapter 5 - Simulating Across the Cloud-to-Edge Continuum -- Chapter 6 - Case Studies in Application Placement and Infrastructure Optimisation. | |
506 | 0 | _aOpen Access | |
520 | _aThe emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is simply so complex that it is no longer realistic for IT teams to manually foresee the potential issues and manage the dynamism and dependencies across an increasing inter-dependent chain of service provision. This Open Access Pivot explores these challenges and offers a solution for the intelligent and reliable management of physical infrastructure and the optimal placement of applications for the provision of services on distributed clouds. This book provides a conceptual reference model for reliable capacity provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver qualityof service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities. . | ||
650 | 0 | _aTechnological innovations. | |
650 | 0 | _aElectronic commerce. | |
650 | 0 | _aComputer engineering. | |
650 | 0 | _aComputer networks . | |
650 | 1 | 4 | _aInnovation and Technology Management. |
650 | 2 | 4 | _ae-Commerce and e-Business. |
650 | 2 | 4 | _aComputer Engineering and Networks. |
700 | 1 |
_aLynn, Theo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aMooney, John G. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aDomaschka, Jörg. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aEllis, Keith A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030398620 |
776 | 0 | 8 |
_iPrinted edition: _z9783030398644 |
776 | 0 | 8 |
_iPrinted edition: _z9783030398651 |
830 | 0 |
_aPalgrave Studies in Digital Business & Enabling Technologies, _x2662-1290 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-39863-7 |
912 | _aZDB-2-BUM | ||
912 | _aZDB-2-SXBM | ||
912 | _aZDB-2-SOB | ||
999 |
_c37286 _d37286 |