Cloud computing is seen by many people as the natural evolution of Grid computing concepts. Both, for instance, rely on the use of service-based approaches for provisioning compute and data resources. The importance of understanding business models and the economics of distributed computing systems and services has generally remained unchanged in the move to Cloud computing. This understanding is necessary in order to build sustainable e-infrastructure and businesses around this paradigm of sharing Cloud services. Currently, only a handful of companies have created successful businesses around Cloud services. This research evaluates the major trends in the cloud computing industry including the effect of cloud services on mobile applications/stores. The report includes a cloud computing case study and ROI assessment. It also includes a comparison of cloud services providers with analysis of major companies/offerings including Saleforce.com, Google, and a SWOT analysis of Amazon Cloud services.
Table of Contents
1.0 EXECUTIVE SUMMARY 3
2.0 INTRODUCTION 5
2.1 CASE STUDY: AMAZON WEB SERVICE AND CLOUD INFRASTRUCTURE 5
2.2 CLOUD APPLICATIONS 8
2.2.1 GRID COMPUTING 8
2.2.2 CASE STUDY: HOW TO USE GRID COMPUTING TO SAVE IT COSTS 9
2.2.3 TRANSACTION SYSTEMS 14
2.2.4 DEPLOYING CLOUD COMPUTING 15
2.2.5 CLOUD FORMATION 19
2.3 CLOUD DEPLOYMENT SCENARIOS 22
2.3.1 SCENARIO 1 22
2.3.2 SCENARIO 2 23
2.3.3 CASE STUDY: CLOUD AND THE RETURN ON INVESTMENT (ROI) 26
3.0 MOBILE CLOUD 30
3.1 CASE STUDY: HOW TO USE THE CLOUD WITH MOBILE APPS 33
3.1.1 SALES FORCE CLOUD GOES MOBILE 34
3.2 THE FUTURE OF THE APPLICATION MARKETS WITH THE CLOUD 35
4.0 PROVIDERS ANALYSIS AND MARKET PROJECTIONS TO 2017 40
4.1.1 GOOGLE VS AMAZON AS A CLOUD SERVICE PROVIDER: 42
4.1.2 HP TO PENETRATE THE CLOUD MARKET 43
4.1.3 MOBILE CLOUD COMPUTING MARKETS 44
4.1.4 THE FUTURE OF APPS IN THE CLOUD 45
4.1.5 CONTEXT AND LOCATION SENSITIVE APPLICATIONS IN THE CLOUD 45
4.1.6 PAY POINT SOLUTIONS 45
4.1.7 SWARM DATA MINING 46
1.1 PREDICTIONS FOR THE NEXT GENERATION 47
4.1.8 MOBILE PAYMENT SYSTEMS IN THE CLOUD 50
4.1.9 M-PAYMENT ANALYSIS 53
4.1.10 MONEY TRANSFERS 54
4.1.11 GEO TAGGING MULTIMEDIA IN THE CLOUD 54
4.1.12 BREAKING THE PHONE MOLD 56
4.1.13 SUMMARY 58
4.1.14 CLOUD COMPUTING AND BIG DATA 59
4.1.15 CONCLUSION 59
List of Figures
List of Tables
