國立虎尾科技大學 |

Managing Distributed Cloud Applications and Infrastructure = A Self-Optimising Approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Managing Distributed Cloud Applications and Infrastructure/ edited by Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis.
其他題名:	A Self-Optimising Approach /
其他作者:	Lynn, Theo.
面頁冊數:	XXIII, 163 p. 62 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Management. -
電子資源:	https://doi.org/10.1007/978-3-030-39863-7
ISBN:	9783030398637

Managing Distributed Cloud Applications and Infrastructure = A Self-Optimising Approach /
Managing Distributed Cloud Applications and InfrastructureA Self-Optimising Approach /[electronic resource] :edited by Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis. - 1st ed. 2020. - XXIII, 163 p. 62 illus.online resource. - Palgrave Studies in Digital Business & Enabling Technologies,2662-1282. - Palgrave Studies in Digital Business & Enabling Technologies,.

Chapter 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.

Open Access

The 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 quality of 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. .

ISBN: 9783030398637

Standard No.: 10.1007/978-3-030-39863-7doiSubjects--Topical Terms:

558618
Management.

LC Class. No.: HD28-70

Dewey Class. No.: 658.514

Managing Distributed Cloud Applications and Infrastructure = A Self-Optimising Approach /
LDR:03294nam a22004455i 4500 001 1026593
003 DE-He213
005 20200720161102.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030398637 $9 978-3-030-39863-7
024 7 $a 10.1007/978-3-030-39863-7 $2 doi
035 $a 978-3-030-39863-7
050 4 $a HD28-70
072 7 $a KJMV6 $2 bicssc
072 7 $a BUS087000 $2 bisacsh
072 7 $a KJMV6 $2 thema
072 7 $a PDG $2 thema
082 0 4 $a 658.514 $2 23
245 1 0 $a Managing Distributed Cloud Applications and Infrastructure $h [electronic resource] : $b A Self-Optimising Approach / $c edited by Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2020.
300 $a XXIII, 163 p. 62 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Palgrave Studies in Digital Business & Enabling Technologies, $x 2662-1282
505 0 $a Chapter 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 $a Open Access
520 $a The 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 quality of 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 $a Management. $3 558618
650 0 $a Industrial management. $3 556510
650 0 $a E-commerce. $2 gtt $3 654932
650 0 $a Computer engineering. $3 569006
650 1 4 $a Innovation/Technology Management. $3 786196
650 2 4 $a e-Commerce/e-business. $3 768697
650 2 4 $a Computer Engineering. $3 796158
700 1 $a Lynn, Theo. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1204418
700 1 $a Mooney, John G. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1303641
700 1 $a Domaschka, Jörg. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1322920
700 1 $a Ellis, Keith A. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1322921
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030398620
776 0 8 $i Printed edition: $z 9783030398644
776 0 8 $i Printed edition: $z 9783030398651
830 0 $a Palgrave Studies in Digital Business & Enabling Technologies, $x 2662-1282 $3 1284461
856 4 0 $u https://doi.org/10.1007/978-3-030-39863-7
912 $a ZDB-2-BUM
912 $a ZDB-2-SXBM
912 $a ZDB-2-SOB
950 $a Business and Management (SpringerNature-41169)
950 $a Business and Management (R0) (SpringerNature-43719)