國立高雄大學圖資館 |

Language: English

Back

Managing distributed cloud applicati...

Lynn, Theo.

Managing distributed cloud applications and infrastructurea self-optimising approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Managing distributed cloud applications and infrastructureedited by Theo Lynn ... [et al.].
Reminder of title:	a self-optimising approach /
other author:	Lynn, Theo.
Published:	Cham :Springer International Publishing :2020.
Description:	xxiii, 163 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Cloud computingManagement.
Online resource:	https://doi.org/10.1007/978-3-030-39863-7
ISBN:	9783030398637$q(electronic bk.)

Managing distributed cloud applications and infrastructurea self-optimising approach /
Managing distributed cloud applications and infrastructurea self-optimising approach /[electronic resource] :edited by Theo Lynn ... [et al.]. - Cham :Springer International Publishing :2020. - xxiii, 163 p. :ill., digital ;24 cm. - 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$q(electronic bk.)

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

544788
Cloud computing
--Management.

LC Class. No.: QA76.585 / .M363 2020

Dewey Class. No.: 004.6782

Managing distributed cloud applications and infrastructurea self-optimising approach /
LDR:02871nmm a2200361 a 4500 001 583376
003 DE-He213
005 20201109163737.0
006 m d
007 cr nn 008maaau
008 210202s2020 sz s 0 eng d
020 $a 9783030398637$q(electronic bk.)
020 $a 9783030398620$q(paper)
024 7 $a 10.1007/978-3-030-39863-7 $2 doi
035 $a 978-3-030-39863-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.585 $b .M363 2020
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 004.6782 $2 23
090 $a QA76.585 $b .M266 2020
245 0 0 $a Managing distributed cloud applications and infrastructure $h [electronic resource] : $b a self-optimising approach / $c edited by Theo Lynn ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2020.
300 $a xxiii, 163 p. : $b ill., digital ; $c 24 cm.
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 $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 Cloud computing $x Management. $3 544788
650 0 $a Internet of things $x Management. $3 783791
650 0 $a Application software. $3 200645
650 1 4 $a Innovation/Technology Management. $3 514149
650 2 4 $a e-Commerce/e-business. $3 348145
650 2 4 $a Computer Engineering. $3 524366
700 1 $a Lynn, Theo. $3 815633
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Palgrave studies in digital business & enabling technologies. $3 815636
856 4 0 $u https://doi.org/10.1007/978-3-030-39863-7
950 $a Business and Management (SpringerNature-41169)