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State of the Cloud: Analysis of Cloud Services, Companies, and Applications

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.

Target Audience:

  • Cloud services companies
  • Network service providers
  • Telecommunications companies
  • Outsourcing firms and service bureaus
  • Application developers and app stores


General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1.0 EXECUTIVE SUMMARY
2.0 INTRODUCTION
2.1 CASE STUDY: AMAZON WEB SERVICE AND CLOUD INFRASTRUCTURE
2.2 CLOUD APPLICATIONS
2.2.1 GRID COMPUTING
2.2.2 CASE STUDY: HOW TO USE GRID COMPUTING TO SAVE IT COSTS
2.2.3 TRANSACTION SYSTEMS
2.2.4 DEPLOYING CLOUD COMPUTING
2.2.5 CLOUD FORMATION
2.3 CLOUD DEPLOYMENT SCENARIOS
2.3.1 SCENARIO 1
2.3.2 SCENARIO 2
2.3.3 CASE STUDY: CLOUD AND THE RETURN ON INVESTMENT (ROI)
3.0 MOBILE CLOUD
3.1 CASE STUDY: HOW TO USE THE CLOUD WITH MOBILE APPS
3.1.1 SALES FORCE CLOUD GOES MOBILE
3.2 THE FUTURE OF THE APPLICATION MARKETS WITH THE CLOUD
4.0 PROVIDERS ANALYSIS AND MARKET PROJECTIONS TO 2017
4.1.1 GOOGLE VS AMAZON AS A CLOUD SERVICE PROVIDER:
4.1.2 HP TO PENETRATE THE CLOUD MARKET
4.1.3 MOBILE CLOUD COMPUTING MARKETS
4.1.4 THE FUTURE OF APPS IN THE CLOUD
4.1.5 CONTEXT AND LOCATION SENSITIVE APPLICATIONS IN THE CLOUD
4.1.6 PAY POINT SOLUTIONS
4.1.7 SWARM DATA MINING
1.1 PREDICTIONS FOR THE NEXT GENERATION
4.1.8 MOBILE PAYMENT SYSTEMS IN THE CLOUD
4.1.9 M-PAYMENT ANALYSIS
4.1.10 MONEY TRANSFERS
4.1.11 GEO TAGGING MULTIMEDIA IN THE CLOUD
4.1.12 BREAKING THE PHONE MOLD
4.1.13 SUMMARY
4.1.14 CLOUD COMPUTING AND BIG DATA
4.1.15 CONCLUSION

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