The cloud paradigm introduces a change in visualization of system and data owned by an enterprise. Further, the on service-based sharing of resources such as storage, hardware and applications which are delivered with cloud computing in a total different way has facilitated coherence of the resources and economies of scale through its pay-per-use business model.
It is no longer a collection of devices on a physical location and run a particular software program with all the needed data and resources present at a physical location but instead is a system which is geographically distributed with consideration on both application and data. But even when the development of distributed cloud architectures and services are all dealing with the same issues of scalability, elasticity over demand, broad network access, usage measurement, security aspects such as authorization and authentication, and many other concepts related to multitenant services in order to serve a high number of concurrent users over the internet, is it the main goal for companies to find the right solution for their requierments.
The right solution can be a public, a private or a hybrid cloud and although the issues are very similar in any of these solutions, it depends further on the degree of potency of one or some issues which are related to different kind of industries and organisations to evaluate the right cloud based approach for a particular company. This means we have to agree that the evolution of a new paradigm requires adaptation in usage patterns and associated functional areas to fully benefit from the paradigm shift.
Table of Contents
1 Introduction
1.1 Definition: Cloud Computing
1.2 Characteristics of Cloud Systems
2 A Cloud Solution: Requirement & Assessment
2.1 Requirement Analysis
2.1.1 The cost of non-functional Requirment
2.2 Cloud Assessment
3 The Favour of Cloud Computing
3.1 Public Cloud
3.1.1 Anything as a Service
3.2 Cloud Applications - Software as a Service
3.2.1 Differences between Classical ERP Systems and SaaS Systems
3.3 Private Cloud
3.3.1 On Premise
3.3.2 Off Premise
3.3.3 Private Cloud Opportunities and Challenges
3.4 Hybrid Cloud: Gathering the Best
4 Data & Security Consideration
5 Conclusion / Solution
Research Objectives and Core Themes
This thesis examines the impact of different cloud computing models—Public, Private, and Hybrid Cloud—to guide enterprises in selecting the optimal solution for their specific operational requirements. It aims to evaluate how these architectures influence cost, flexibility, and security, ultimately providing a framework for decision-making based on organizational needs.
- Comparative analysis of Public, Private, and Hybrid Cloud architectures.
- Evaluation of cloud readiness, requirement analysis, and total cost of ownership.
- Examination of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
- Assessment of security challenges and data privacy in cloud environments.
- Strategic recommendations for choosing the appropriate cloud model based on business size and data sensitivity.
Excerpt from the Book
3.1 Public Cloud
A public cloud is always in the possession of a service provider, this provider take care about the operation of the service and make it available for many users - business or individual. A public cloud can be imaging as a highly integrated data center with thousands of computers and mass storage pools. Cloud Fabric controllers are software components in these cloud infrastructures which maintain the life cycle of services – from the creation to deletion – and monitoring performance, availability and compliance with the SLAs. Important distinctions from the classic offerings of hosting providers and outsourcers are the principles of pay-per use and the fact that resources can be requested and released literally at any time. This on demand and pay-per-use approach offers significant advantages for service consumers, who doesn’t need to incur the capital cost of investing in new servers and can react flexible, to respond to changing business conditions. By massive automation, the use of pools of compute, storage and network resources and economies of scale, public cloud providers can offer their services for extreme low prices. Besides “full service” clouds there are cloud providers like Apple’s iCloud or Dropbox who focus on convenient storage space only. It is expected that the range of cloud services will increase in the future by new vendors offering specific cloud resources for specific target markets.
Chapter Summary
1 Introduction: Provides an overview of the paradigm shift towards cloud-based systems and the necessity for companies to align IT infrastructure with modern service-based delivery models.
2 A Cloud Solution: Requirement & Assessment: Discusses the analytical framework needed to determine cloud readiness, specifically focusing on non-functional requirements and financial evaluations.
3 The Favour of Cloud Computing: Details the operational and strategic differences between Public, Private, and Hybrid clouds, including specific service models like SaaS.
4 Data & Security Consideration: Highlights the complex challenges related to legal compliance, data sensitivity, and network latency when migrating to cloud environments.
5 Conclusion / Solution: Synthesizes the findings by providing guidance on which cloud infrastructure is most suitable for different user groups, ranging from individuals to large global organizations.
Keywords
Cloud Computing, Public Cloud, Private Cloud, Hybrid Cloud, Infrastructure as a Service, Platform as a Service, Software as a Service, ERP Systems, IT Strategy, Cloud Assessment, Data Security, Cost Management, Scalability, Service Level Agreement, Multitenancy.
Frequently Asked Questions
What is the primary focus of this research?
The work investigates the performance, benefits, and challenges of cloud-based solutions, specifically analyzing how Public, Private, and Hybrid clouds affect enterprise IT strategies.
What are the core thematic areas?
The core themes include cloud definitions and characteristics, requirement analysis for cloud migration, the impact of various service models, and the critical importance of security and data management.
What is the ultimate goal of the thesis?
The goal is to provide a comprehensive overview that enables businesses and individuals to identify which cloud infrastructure best fits their specific requirements regarding data sensitivity, cost, and control.
Which methodology is employed in this research?
The thesis utilizes a theoretical empirical method, relying on industry-standard definitions and academic research to evaluate cloud-based paradigms.
What topics are covered in the main section?
The main sections cover definitions of cloud computing, detailed assessment procedures, the differentiation between SaaS, IaaS, and PaaS, and an in-depth look at the strategic trade-offs between hosting options.
How would you summarize the key characteristics of this work?
The work is characterized by its focus on cloud adoption strategies, balancing technical requirements (like scalability and elasticity) with business necessities (like cost reduction and security).
How does this paper differentiate between Public and Private Cloud?
The paper distinguishes them based on ownership and control: Public clouds are provided by third parties using shared resources, whereas Private clouds provide exclusive, customer-controlled infrastructure.
Why is the Hybrid Cloud model mentioned as an interim state for SAP customers?
Hybrid Cloud allows organizations to maintain critical ERP systems on-premise for security while leveraging the public cloud for non-sensitive, scalable tasks, offering a flexible middle ground during transitions.
- Quote paper
- Georg Trenovski (Author), 2014, Performance of Cloud Based Solutions. The Impact of Public Cloud, Private Cloud and Hybrid Cloud, Munich, GRIN Verlag, https://www.grin.com/document/294956
