Course: CSC1205 - Cloud Computing for Big Data Analytics Semester: January 2024 Lecturer: Ms Jayashiry Morgan
Chapter 14: Adoption of Cloud Computing
Learning Outcomes By the end of this session, students should be able to: 1. Analyze factors influencing the adoption of cloud computing. 2. Understand the existing areas of application for cloud computing.
Adoption of Cloud Computing Factors affecting cloud computing adoption Cloud computing existing areas of application
Cloud Adoption in the IT Industry Growth Trends: IT spending in South Korea grew 4.5 times since 2009. Anticipated public cloud spending: $162 billion by 2020. Importance of Cloud Adoption: Crucial for digital transformation. Informed decisions aligning with changes are essential. Industry Leaders: Amazon and Google drive global cloud adoption. Reshaping how organizations deliver services.
Cloud Adoption in the IT Industry Global Data Pool: Awareness needed to tap into the global data pool. Enhances organizational capabilities. Future Integration: Cloud infrastructure to be inherent in society. Equips organizations for the connected digital world.
Factors Affecting Cloud Computing Adoption Technological Factors Relative Advantage Cost and Manageability Efficiency and Flexibility Compatibility Ease of Use and Data Integration
Factors Affecting Cloud Computing Adoption Organizational Factors Organizational Readiness Financial Readiness Technological Infrastructure Top Management Support Long-Term Vision and Goals Commitment of Resources
Factors Affecting Cloud Computing Adoption Environmental Factors Competitive Pressure Changes in Industry Structure Increase in Relative Competitive Position Generation of New Business Opportunities Government Regulations Government Incentives Law and Policies Technology Support
Cloud Computing Existing Areas of Application Cloud computing in education Cloud computing in healthcare Cloud computing in politics Cloud computing on business Cloud computing in agriculture
Cloud Computing Existing Areas of Application Cloud computing in education Cloud computing in healthcare Cloud computing in politics Cloud computing on business Cloud computing in agriculture
Cloud Computing in Education Applications: Cloud-based applications for academic tasks. Service Models: Software-as-a-Service (SaaS): e-learning platforms. Platform-as-a-Service (PaaS): Customized virtual labs. Infrastructure-as-a-Service (IaaS): Virtual infrastructure for IT courses.
Cloud Computing in Education Benefits: Enhanced productivity, reduced expenditures, collaborative work, backup of information. Challenges: Security, data privacy, network responsiveness, data security, unsolicited advertising.
Cloud Computing in Healthcare Applications: Streamlined synchronization of data, real-time management of patient data. Benefits: Mobility of records, speed, security and privacy, cost reduction. Challenges: Security concerns, vendor stability, IT skills.
Cloud Computing in Politics Applications: Election forecast, voter data processing. Benefits: Capital expenditure reduction, scalability, diverse access. Challenges: Security, vendor stability, IT skills.
Cloud Computing in Business Applications: Comprehensive data storage and management. Benefits: Reduced infrastructure costs, scalability, business continuity, collaboration efficiency, flexibility. Challenges: Data security concerns, scalability issues.
Cloud Computing in Agriculture Applications: Consolidation of agriculture-related information. Benefits: Reduced costs, increased storage, minimized infrastructure risk. Challenges: Speedy accessibility, data protection, data recovery and availability.