000 02917cam a2200325 i 4500
001 21808840
005 20230711152000.0
008 201123s2021 flua b 001 0 eng
010 _a 2020052980
020 _a978-0-367-70680-7
_q(hbk)
020 _z9781003147503
_q(ebk)
040 _aDLC
_beng
_cDLC
_erda
_dDLC
041 _aenm
042 _apcc
082 0 0 _a004.67/82
_bC7325c
100 1 _aComer, Douglas,
245 1 4 _aThe cloud computing book :
_bthe future of computing explained /
_cDouglas E. Comer, Department of Computer Sciences, Purdue University, West Lafayette, IN 47907.
264 1 _aBoca Raton :
_bCRC Press,
_c2021
300 _axvi, 269 páginas :
_bilustraciones (color) ;
_c24 cm
336 _btxt
_atxt
337 _bn
_an
338 _bnc
_anc
504 _aIncluye bibliografĂ­a, referencias e index.
505 _aThe motivations For Cloud --Elastic Computing And Its Advantages --Types Of Clouds And Cloud Providers --Data Center Infrastructure And Equipment --Virtual Machines --Containers --Virtual Networks --Virtual Storage --Automation --Orchestration: Automated Replication And Parallelism --The MapReduce Paradigm --Microservices --Controller-Based Management Software
520 _a"The latest textbook from best-selling author, Douglas Comer, this class-tested book provides a comprehensive introduction to cloud computing. Focusing on concepts and principles, rather than commercial offerings by cloud providers and vendors, the text gives readers a complete picture of the advantages and growth of cloud computing, cloud infrastructure, virtualization, automation and orchestration, and cloud-native software design. The book explains real and virtual data center facilities, including computation (e.g., servers, hypervisors, Virtual Machines, and containers), networks (e.g., leaf-spine architecture, VLANs, and VxLAN), and storage mechanisms (e.g. SAN, NAS, and object storage). Chapters on automation and orchestration cover the conceptual organization of systems that automate software deployment and scaling. Chapters on cloud-native software cover parallelism, microservices, MapReduce, controller-based designs, and serverless computing. Although it focuses on concepts and principles, the book uses popular technologies in examples, including Docker containers and Kubernetes. Final chapters explain security in a cloud environment and the use of models to help control the complexity involved in designing software for the cloud. The text is suitable for a one-semester course for software engineers who want to understand cloud, and for IT managers moving an organization's computing to the cloud"--
650 0 _aCloud computing.
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _cBK
_00
999 _c284983
_d284981