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Cloud Computing
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What is Cloud Computing?

Cloud computing refers to the delivery of computing services—including storage, processing power, databases, and software—over the internet rather than through local hardware. Students write about it across disciplines such as information technology, business management, computer science, and cybersecurity, reflecting how broadly the technology has reshaped organizational infrastructure. Its academic interest lies in the tension between its practical benefits—scalability, cost reduction, and accessibility—and the significant technical and governance challenges it introduces, particularly around data security and service reliability.

The papers archived on this topic take a range of approaches. Some examine cloud computing historically, tracing its conceptual roots back to mainframe models and following its evolution into modern service architectures. Others focus on specific service providers, comparing business strategies and infrastructure offerings. A strong subset addresses security concerns directly, including insider threats and distributed denial-of-service attacks, while additional papers approach the subject from a management or enterprise strategy angle, analyzing how organizations adopt and govern cloud systems. Literature review and user-satisfaction frameworks also appear, indicating that both technical and behavioral research methods are common.

A strong essay on cloud computing succeeds by committing to a focused thesis rather than surveying the topic broadly. If the paper addresses security, it should specify a threat category—such as data breaches or insider access—and engage with concrete technical or policy-based solutions. Evidence drawn from organizational case studies, service models, or documented attack patterns carries more weight than general claims about industry trends. The most common pitfall is treating cloud computing as uniformly beneficial or uniformly risky; a credible argument acknowledges trade-offs and grounds them in specific contexts.

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Paper Undergraduate
HP Strategy Analysis: Porter's Five Forces & Industry Economics
Summarize the economics and current conditions in the industry, and describe the strategies for HP.
Paper Undergraduate
Turning Data Into Competitive Advantage: Enterprise Strategy
Given the exponential increase in data being generated across enterprise, social networking and legacy IT systems, the need for ensuring a consistent set of frameworks and objectives are used to bring relevance to this data is critical. The tendency of "boil the ocean" of data through Big Data initiatives including Hadoop, an open source analytics platform, have recently emerged as one viable alternative (McKendrick, 2012). Yet too often being able to take in literally terabytes of data and analyze it is of limited use without a consistent, strategic framework to make use of it (Rogers, 2011). Too many IT organizations are falling victim to speeding up mediocre reporting and analysis processes without first thinking about how to bring greater value into their strategic initiatives with the data (Daly, 2011). The answer to this dilemma isn't found in more technology; it's found in creating a more effective strategic framework to bring meaning into the data (Kalpic, Bernus, 2006).
Paper Doctorate
B2B Marketing Trends in the UK and Europe: 2011 Analysis
Business-to-Business (B2B) Trends and Analysis
Research Paper Undergraduate
Federal Cloud Computing Strategy: The 25-Point IT Reform Plan
This paper addresses the issue of cloud computing. The only source used is a government policy document that conveys information on cloud computing from the standpoint of reforming federal information technology. The "cloud first" policy discussed here will, allegedly, help the federal government move toward standardization and adoption of cloud computing.
Paper Doctorate
Data Center Life Cycle Management: Virtualization & Security
¶ … centre can be described as a "…computer system's most important and vulnerable component" (What is a Data Center?). In simple terms, a data center is a physical area which houses and contains the computer networks…
Paper Doctorate
Cloud Capacity Planning and Performance Monitoring
The need for computer capacity evaluation and continual monitoring is even more important when an enterprise is transferring its computing power to cloud-based systems. This transition from on-premise to cloud-based computing introduces exponentially greater levels of variables and performance issues that can have an immediate and significant effect on any enterprises' ability to perform even the most fundamental IT tasks (Read, 2010). Computing power transitioned to the cloud must be done with a deliberate strategy of ensuring a high degree of scalability, security, and a clear strategy of single- versus multitenancy, or the allocation of specific dedicated memory and processor resources for specific tasks (Rasin, 2010). The intent of this analysis is to evaluate those areas of cloud-based systems' computing resources and define how enterprises can safeguard their enterprise applications and performance over the long-term.
Paper Doctorate
Database Security: Annotated Bibliography on Cyber Threats
Anonymous Hackers Target U.S. Security Think Tank. (2011). Newsday. Retrieved from: http://Www.newsday.com/business/technology/anonymous-hackers-target-us-security-think-tank-1.3411610
Essay Doctorate
Migrating Standardized ERP Systems to the Cloud
The compelling economics of cloud computing are leading enterprises to question their long-held assumptions that the annual maintenance fees they are paying for on-premise editions of their ERP are justified. In addition, these same economics of cloud computing are making it possible for entire divisions of an enterprise to be up and running within weeks instead of months or years, on cloud-based ERP platforms (Banerjea, 2011). The economics of cloud computing are also re-ordering the financial landscape of enterprise software, putting line-of-business leaders in a more direct and influential role relative to the purchase of enterprise software (Gill, 2011). All of these factors taken together form the catalyst of how migrating to standardized ERP systems delivered via cloud computing are changing how enterprises evaluate, implement and value software. Migrating Standardized ERP Systems To A Cloud Computing Environment At the most fundamental architectural level of migrating standardized ERP systems to a cloud computing environment are the evaluation, planning and implementation of process and system integration throughout a company. For a standardized ERP system to be effective in a cloud computing environment, there must be integration in place to legacy databases, potentially secondary ERP systems already implemented and in use, in addition to pricing, Customer Relationship Management (CRM) and Supply Chain Management (SCM) systems as well (Yoo, 2011). All of these systems need to be orchestrated with the cloud-based ERP system to ensure this new system can immediately deliver valuable information, insightful analysis and useful data based on the company's activities(Armbrust, Fox, Griffith, Joseph, et.al., 2010). Once this foundation ahs been created that provides for the cloud-based ERP system to be effectively used across the enterprise due to its integration, the most critical manufacturing, supply chain, and customer management processes need to be defined and then integrated to the new system. The most common areas where a standardized ERP system will typically be used is in streamlining the supply chain management, pricing and distributed order management functions of a business (Symonds, 2012). These three functions are essential for the successful operation of a manufacturing-centric business, which is where the majority of cloud-based ERP systems are being delivered today (Creeger, 2009). These three core areas of supply chain management, distributed order management and pricing also form the foundation of advanced financial reporting systems, which provide enterprises choosing to deploy these systems with greater visibility into their transaction workflows and their relative efficiency (Gill, 2011).
Research Paper Undergraduate
Microsoft vs. FOSS: Legal Battles and Open Source Growth
Microsoft has always vigorously protected its patents and sought out legal defense against competing technologies and businesses that threatened its core business model. In 2006, Microsoft mounted a comprehensive and…
Essay Doctorate
Information Systems and Their Impact on Business Processes
In this paper, I have discussed the information systems and its effects on business processes. Moreover, I have explained the several business components and their effectiveness as information systems. In addition, I have provided information regarding the effects of information systems on various business careers. In this paper, I have discussed the information systems and its effects on business processes. Moreover, I have explained the several business components and their effectiveness as information systems. In addition, I have provided information regarding the effects of information systems on various business careers.