Cloud computing: Principles and Paradigm

Cloud computing: Principles and paradigms original title: cloud computing: Principles and paradigms Author: (Australia) Rajkumar buyya James broberg Andrzej goscinski Translator: Li hongjun Li Dongmei Zhang xiucheng Ren zenggang: cloud Computing Technology series Publishing House: Mechanical Industry Publishing House ISBN: 9787111417330 Release Date: May 2013 publication date: 16 open pages: 1: 1-1 category: more about computers> cloud computing: Principles and paradigms computer books cloud computing: Principles and paradigms are classic works in the cloud computing field, written by many senior cloud computing experts, authority is beyond doubt. This book provides a comprehensive description of the basic principles of cloud computing, IAAs, paas, SAAS, monitoring and management, cloud computing applications and best practices, and cloud computing governance. This book helps readers understand the successful use of cloud computing mechanisms, provides a large number of real research cases on existing computing, storage, and application cloud services, and expounds the functions and limitations of the current cloud computing service providers. Cloud computing: Principles and paradigms are divided into six parts, with 25 chapters in total. Part 1 (1st ~ Chapter 4 introduces the basic concepts of cloud computing and outlines the development of mainframe, cluster, grid, and utility computing. Part 2 (5th ~ Chapter 8) describes infrastructure as a service (IAAS), such as supporting technologies such as virtual machines and virtual storage, as well as complex mechanisms such as securely storing data and managing virtual clusters on the cloud. Part 3 (9th ~ Chapter 14 introduces platform as a service (PAAs) and software as a service (SAAS), and describes the delivery of cloud hosting software and applications, it also explores the design and operation of complex and automatic scaling applications and environments. Part 4 (15th ~ Chapter 17 introduces the monitoring and management mechanisms that are crucial to the complexity and interoperability of the cloud environment. Part 5 (18th ~ Chapter 21) describes some new applications brought about by the rapid development of cloud computing resources. Part 6 (22nd ~ Chapter 25) outlines the organization, structure, supervision, and legal issues commonly encountered in the cloud computing environment, and discusses how enterprises can successfully transition to the cloud environment, it also describes how enterprises prepare for production after the transition is completed. Cloud computing: principles and paradigms: Preface by the translator: Acknowledgment of contribution list part 1 Basic Principles chapter 1 Introduction to cloud computing 1st introduction to cloud computing 11.1 origin of cloud computing 21.2.1 from mainframe to cloud 31.2.2 SOA, web services, Web 11.2 and mashup 41.2.3 grid computing 41.2.4 utility computing 51.2.5 hardware virtualization 61.2.6 Virtual Devices and open virtualization format 71.2.7 self-computing 81.3 cloud computing architecture and type 81.3.1 infrastructure as a service 91.3.2 platform as a service 91.3.3 software as a service 9.1.3.4 deployment model 91.4 expected cloud features 101.4.1 self-service 101.4.2 metering and billing 101.4.3 scalability 111.4.4 customization 111.5 cloud infrastructure management 111.5.1 features 121.5.2 case study 131.6 characteristics of infrastructure as a service provider 181.6.1 181.6.2 Case Study 191.7 platform as a service provider 221.7.1 features 221.7.2 case study 221.8 challenges and risks 241.8.1 security, privacy and trust 251.8.2 Data Locking and standardization 251.8.3 availability, fault tolerance and disaster recovery 251.8.4 resource management and energy efficiency 251.9 summary 26 References 27 chapter 2nd cloud migration to cloud 312.1 introduction 312.1.1 cloud commitment 322.1.2 cloud service product and deployment model 322.1.3 cloud challenges 342.2 main approach to cloud migration 352.2.1 why 352.2.2 cloud migration decision 362.3 seven-step model migration to the cloud 372.4 summary 39 thanks 40 references 40 chapter 3rd cloud era "integration as a service" paradigm has benefited a lot 423.1 introduction 423.2 the arrival of the knowledge economy era 433.3 SAAS evolution 433.4 challenges facing SaaS paradigm 453.5 approaching SaaS integration mystery 463.6 new integration solution 493.7 Integration Method 503.8 SaaS integrated products and platforms 523.8.1 jitterbit 523.8.2 boomi software 533.8.3 bungee connect 543.8.4 opsource connect 543.8.5 snaplogic 543.8.6 pervasive datacloud 553.8.7 bluewolf 563.8.8 online MQ 573.8.9 cloudmq 573.8.10 linxter 573.9 SaaS Integrated Service 583.9.1 Informatica on-demand between Microsoft ISB 593.10 enterprise to enterprise integrated service 613.11 cloud Integrated Sensor Architecture 653.12 SaaS integrated device 683.13 summary 68 references 69 chapter 4th enterprise cloud computing paradigm 704.1 overview 704.2 background 704.2.1 enterprise cloud computing-related deployment models 704.2.2 implementation and consumption policies 714.3 problems with on-cloud enterprise applications 744.4 transformation challenges 764.5 Enterprises cloud technology and market evolution 774.6 business promotion enterprise cloud computing market 804.7 cloud Supply Chain 824.8 summary 83 thanks 84 references 84 Part 2 infrastructure as a service (IAAS) chapter 2 Virtual Machine deployment and Migration Service 5th introduction 875.1 background and related work 885.2.1 virtualization technology overview 885.2.2 public cloud and infrastructure services 905.2.3 private cloud and infrastructure services 905.2.4 virtualization Distributed Management 915.2.5 High Availability 915.2.6 cloud and virtualization standardization work 925.2.7 occi and ogf 925.3 virtual machine configuration and manageability 925.4 Virtual Machine Migration Service 945.4.1 Migration Technology 945.4.2 Virtual Machine migration, SLA and on-demand computing 965.4.3 Virtual Machine migration to backup platform 965.5 Virtual Machine deployment and migration practices 975.5.1 Virtual Machine lifecycle and Virtual Machine Monitoring 1025.5.2 dynamic migration 1025.5.3 final summary 1035.6 deployment in the cloud environment 1035.6.1 Amazon EC2 container 5.6.2 infrastructure-providing technology 1055.6.3 eucalyptus 1055.6.4 use opennebula to dynamically manage virtual machines 20175.6.5 Aneka 1075.7 future research direction 1095.8 summary 110 references Chapter 110 Virtual Machine Management of cloud infrastructure 6th Analysis of cloud infrastructure 1136.1.1 Distributed Management of virtual machines 1146.1.2 subscription-based configuration of virtual resources 1156.1.3 configurations meeting SLA commitment 1156.2 Distributed Management of virtual infrastructure 6.2.1 Virtual Machine Model and lifecycle 6.2.2 Virtual Machine Management 1176.2.3 further reading about opennebula 1196.3 scheduling technical capabilities required for advance reservation 1196.3.1 reserved capacity existing methods 1196.3.2 VM reservation 1206.3.3 lease mode 1216.3.4 lease scheduling 1226.3.5 extension of lease-based resource management read 1236.4 capacity management 1236.4.1 infrastructure service 1236.4.2 probability acceptance control driven by SLA commitment 1256.4.3 policy-driven Placement Optimization 4.1.6.4.4 management objectives and policies of the infrastructure layer 1306.4.5 current development status 1306.5 summary and Outlook 133 thanks 133 references Chapter 133 using clusters as a service to improve the cloud computing environment 7th introduction 1397.1 related work 1397.2.1 Amazon EC2 1407.2.2 Google App Engine 1407.2.3 windows azure 1417.2.4 Salesforce 1417.2.5 cloud platform overview 1417.3 rvws design 1427.3.1 dynamic attribute secrets 1427.3.2 release 1447.3.4 automatic discovery and release of 1437.3.3 rvws in stateful WSDL document select cluster 1447.4 as a service: logic Design 1467.4.1 CAAS overview 1467.4.2 collect stateful WSDL document 1477.4.3 CAAS service design 1487.4.4 user interface: CAAS web page 1507.5 concept verification 1527.5.1 CAAS technology implementation 1527.5.2 cluster 1537.5.3 experiment and result 1547.6 future research direction 1577.7 summary 157 references 157 chapter 8th security of distributed data storage in cloud computing 1598.1 Introduction 1598.2 cloud storage: migrating from LAN to Wan 1608.2.1 from LAN to Wan 1608.2.2 existing commercial cloud service 160