Assignment 3: Elastic And Inelastic Traffic Due Week 5
Assignment 3: Elastic and Inelastic Traffic Due Week 5 and worth 80 points
Write a three to four (4-5) page paper in which you: Outline a plan for the development of an addressing and naming model in an environment of the following scenario: Ten (10) departments in a 1,000-employee organization. Equal separation by geography. Use a common data center of twenty (20) backend enterprise servers. Analyze the functional problems of throughput, delay, and packet loss as they pertain to your plan. Analyze and explain how you would use DNS in your plan. Compose a two-paragraph executive summary highlighting the main points of your plan. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
Paper For Above instruction
In contemporary enterprise networks, designing an effective addressing and naming model is crucial for ensuring efficient communication, resource allocation, and scalability. Given a scenario with ten departments within a 1,000-employee organization, distributed equally geographically, and connected to a centralized data center housing twenty backend servers, the model must address unique challenges related to throughput, latency, and packet loss. This paper outlines a comprehensive strategy that incorporates hierarchical IP addressing, Domain Name System (DNS) implementation, and considerations for managing elastic and inelastic traffic types to optimize network performance.
The proposed addressing strategy adopts a hierarchical IP scheme, segregating the network into regional segments based on geography, then further dividing within each region by department. For instance, using IPv4 private address space, each region could be assigned a distinct network prefix, such as 10.x.x.x, where 'x' is designated for the geographical zone. This facilitates efficient routing, simplifies address management, and enhances scalability as the organization grows. Within each regional subnet, departments can be assigned specific address ranges, enabling straightforward identification of source and destination nodes. This structure supports network scalability and improves traffic management, particularly when paired with Quality of Service (QoS) policies aimed at prioritizing traffic based on departmental or traffic type characteristics.
To address functional issues of throughput, delay, and packet loss, the plan envisions deploying Quality of Service (QoS) mechanisms that define traffic classes, such as elastic versus inelastic traffic. Elastic traffic, which can tolerate delays—like file transfers or email—can be individuated and scheduled accordingly, whereas inelastic traffic—such as VoIP or video conferencing—requires low latency and minimal packet loss. Implementing traffic shaping and prioritization at network devices ensures critical inelastic traffic receives precedence, thereby reducing delay and packet loss for sensitive applications. Moreover, employing redundant network paths and load balancing across multiple interfaces increases resilience, mitigates congestion, and enhances overall throughput, especially during peak demand.
The DNS plays an integral role in this environment by providing a scalable, resilient naming infrastructure that maps human-readable domain names to IP addresses, simplifying resource discovery and management across geographically dispersed departments. The DNS architecture would be structured hierarchically, with primary zones for each department or regional segment and secondary zones for backup and load distribution. This setup ensures rapid resolution processes, supports load balancing, and enhances fault tolerance. Moreover, integrating DNS with DHCP allows dynamic IP address allocation aligned with the naming schema, reducing administrative overhead and minimizing IP conflicts.
Elastic traffic, characterized by its variable demand and time-sensitive nature, benefits from DNS-based load balancing and caching strategies, which optimize resource access and decrease latency. In contrast, inelastic traffic relies heavily on consistent, predictable network performance; thus, DNS can facilitate the use of dedicated servers or content delivery networks (CDNs) to prioritize critical services. Combining DNS with traffic management policies ensures that inelastic requests—such as real-time voice or video calls—are routed through the most optimal paths, reducing delay and packet loss significantly. Overall, the strategic deployment of DNS enhances scalability, reliability, and performance of the network for both traffic types.
Executive Summary
This proposed network addressing and naming model caters to a geographically distributed, departmentalized organization by implementing hierarchical IP addressing integrated with QoS mechanisms and DNS infrastructure. By dividing the network into regional and departmental segments, the model facilitates scalable routing and efficient traffic management. The tailored QoS policies prioritize inelastic traffic such as VoIP or video conferencing to ensure low latency and minimal packet loss, while elastic traffic is managed through scheduling and load balancing to optimize throughput. Incorporating DNS enables rapid name resolution, load distribution, and fault tolerance, supporting the organization’s dynamic and growing network needs. Overall, this approach aims to enhance network performance, resilience, and administrative simplicity amid increasing traffic demands.
References
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