Assignment 2: 810 Pages Including Empty Sections

Assignment 2 810 Pages Including Empty Sections

You will select an organization, and apply your research to the analysis and development of a network design that would be appropriate for the organization and the needs that it has for its network. Additional information and the deliverables for each individual project will be provided in the assignment description for the project. This is the course's key assignment that you will make contributions to each week. The first step will be to select an organization as the target for your network design and architecture proposal document. The organization should be large enough to allow reasonable exercise of the network design process, familiar enough for you to focus on the project's tasks without significant domain education, and accessible for information and stakeholder interviews. The organization may already have a distributed network, or it can be hypothetical, provided it meets the requirements for distributed network computing needs. You must submit your organization proposal to your instructor for approval early in the course. The final deliverable will be a comprehensive network design and architecture proposal document, developed incrementally throughout the course. The project will include sections such as project outline, distributed network requirements analysis, communication protocols analysis, network traffic analysis, network design and architecture, and future needs analysis. You will create a shell document with the project outline and initial sections, adding content as you progress. The document must include a title page, autogenerated table of contents (up to three levels), and each section on a new page with placeholder content initially. The organization description should include company size, locations, and key information. The requirements analysis must describe five major functional areas needing distributed networking, with capacity, performance, connectivity, and security considerations. Additional constraints such as existing infrastructure, budget, and operating systems must be considered. Name the document using your name and CS635_IP1.doc.

Paper For Above instruction

The selected organization for this network design proposal is a mid-sized hotel chain operating across multiple locations nationwide. The company has grown steadily over the past decade, now managing a portfolio of 20 properties in major metropolitan areas and suburban regions. Each hotel features amenities such as restaurants, conference centers, and guest services, with a focus on providing a seamless guest experience. The corporation’s headquarters manages centralized booking systems, customer relationship management (CRM), supply chain logistics, and human resource functions. The company’s goal is to develop a robust distributed network infrastructure that supports its operational needs, enhances security, and facilitates scalable future growth.

Implementing a distributed network architecture offers numerous benefits to the hotel chain. Key advantages include improved data sharing across locations, centralized management of reservations and guest information, real-time communication between properties and headquarters, and increased operational efficiency. Distributed networking also strengthens business continuity by providing redundancy and local processing capabilities, reducing dependence on a single central server. The integration of cloud services and mobile applications necessitates a flexible, secure, and scalable network design aligned with the company’s strategic objectives.

Distributed Network Requirements Analysis

To develop an effective network architecture, it is essential to analyze the core functionalities the organization relies upon. First, guest reservation and check-in systems require high capacity and performance to handle concurrent transactions while maintaining security, especially given the sensitivity of personal and payment information. Second, property management systems necessitate real-time data synchronization for room availability, housekeeping, and maintenance updates, which depend on reliable and low-latency connectivity.

Third, the corporate headquarters depends on centralized CRM and reporting dashboards to analyze guest trends and manage marketing campaigns. These systems demand secure, high-bandwidth connections with data encryption and access controls. Fourth, the supply chain management functions involve real-time inventory tracking and procurement, which require cross-site data sharing and robust connectivity. Fifth, guest Wi-Fi services and mobile app integrations must be scalable and secure, offering reliable connectivity to hotel guests safely and efficiently.

Connectivity requirements include high-speed broadband and fiber optic links connecting each property with the central data centers, supplemented by wireless and LTE backup options to ensure reliability. Security protocols involve VPNs, firewalls, intrusion detection systems, and data encryption, particularly for payment processing and sensitive data exchange. Budget limitations influence the choice of infrastructure, favoring cost-effective but scalable solutions such as cloud integrations and virtualization to reduce capital expenditure. Existing applications run on various operating systems, including Windows and Linux, necessitating compatibility considerations in network device configurations.

Conclusion

Developing a comprehensive network design for this hotel chain involves balancing performance, security, scalability, and cost-efficiency. The distributed network will enable centralized control while empowering local management to operate independently with reliable access to shared data and services. Proceeding with detailed protocol selection, traffic management, and future expansion planning will ensure the infrastructure supports ongoing growth and technological advancement.

References

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• Porter, M. E. (2014). Competitive Strategy: Techniques for Analyzing Industries and Competitors. Free Press.
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• Tan, W., & Wang, J. (2022). Optimizing Network Traffic in Distributed Systems. IEEE Transactions on Network and Service Management, 19(2), 1508–1519.
• Zhou, X., & Leung, C. (2020). Integration of Cloud and Edge Computing for Hospitality Industry. IEEE Internet of Things Journal, 7(8), 7290–7301.