LEADER 04562nam 22008055 450 001 9910412147503321 005 20250628110034.0 010 $a9783030398637 010 $a3030398633 024 7 $a10.1007/978-3-030-39863-7 035 $a(CKB)4100000011354813 035 $a(DE-He213)978-3-030-39863-7 035 $a(MiAaPQ)EBC6420137 035 $a(Au-PeEL)EBL6420137 035 $a(OCoLC)1232279411 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/37247 035 $a(PPN)258064226 035 $a(MiAaPQ)EBC31734341 035 $a(Au-PeEL)EBL31734341 035 $a(OCoLC)1492951929 035 $a(Perlego)4361738 035 $a(ODN)ODN0010071760 035 $a(oapen)doab37247 035 $a(EXLCZ)994100000011354813 100 $a20200720d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aManaging Distributed Cloud Applications and Infrastructure $eA Self-Optimising Approach /$fedited by Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis 205 $a1st ed. 2020. 210 $d2020 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2020. 215 $a1 online resource (XXIII, 163 p. 62 illus.) 225 1 $aPalgrave Studies in Digital Business & Enabling Technologies,$x2662-1290 311 08$a9783030398620 311 08$a3030398625 327 $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. 330 $aThe emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is simply so complex that it is no longer realistic for IT teams to manually foresee the potential issues and manage the dynamism and dependencies across an increasing inter-dependent chain of service provision. This Open Access Pivot explores these challenges and offers a solution for the intelligent and reliable management of physical infrastructure and the optimal placement of applications for the provision of services on distributed clouds. This book provides a conceptual reference model for reliable capacity provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver qualityof service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities. . 410 0$aPalgrave Studies in Digital Business & Enabling Technologies,$x2662-1290 606 $aTechnological innovations 606 $aElectronic commerce 606 $aComputer engineering 606 $aComputer networks 606 $aInnovation and Technology Management 606 $ae-Commerce and e-Business 606 $aComputer Engineering and Networks 615 0$aTechnological innovations. 615 0$aElectronic commerce. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aInnovation and Technology Management. 615 24$ae-Commerce and e-Business. 615 24$aComputer Engineering and Networks. 676 $a658.514 676 $a658.872 686 $aBUS087000$aCOM059000$aCOM064000$2bisacsh 700 $aLynn$b Theo$4edt$01224484 702 $aLynn$b Theo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMooney$b John G.$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDomaschka$b Jörg$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEllis$b K. A$g(Keith A.),$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910412147503321 996 $aManaging Distributed Cloud Applications and Infrastructure$93359545 997 $aUNINA