Nova Southeastern Universitycollege Of Engineering And Computingwinter ✓ Solved

Nova Southeastern University College of Engineering and Computing Winter 2021 - Master Level Course Term Code: 202130 – CRN: 31037 Sec: L01 Cr: 3.0 Dates: 16 weeks: 01/04//25/2021 MSIT 650 Platform and Network Tech (3 Credits) Assignment 2 – Research Paper Please refer to the course calendar and syllabus for assignment due date and assignment grade percentage. Your documents must be submitted before or on the due date on the proper blackboard assignment number (assignment 2) Your document for this project will be submitted to Canvas (Assignment 2) in one of the following file formats: ASCII, MS Word, or PDF. Assignment 2: In your book, Guide to Operating Systems by Greg Tomsho, each chapter deals with a specific area within operating systems and networking.

These areas are broken down by chapter • Operating system theory • Popular operating systems • Operating system hardware components • File systems • Installing an upgrading operating system • Configuring input and output devices • Using and configuring storage devices • Modems and other communication devices • Network connectivity • Resource sharing over a network • Standard operating and maintenance procedures For this assignment you can write on one of the following areas: 1) Operating Systems evolution (future) 2) File systems evolution (future) 3) CPU evolution (future) 4) Installation and configuration techniques (future) 5) Input output Devices (future) 6) Communications Devices (future) 7) Configuring Storage Devices (future) 8) Resource Sharing over a network (future) 9) OS Maintenance (future) These 9 areas listed above are currently active areas of research, choose one from the list of nine, and then write a paper on what changes will be in the future using current research.

Your book covers historical and up to current technologies, your paper will address where things are going in one of the above listed areas. You must use proper journals such as IEEE and ACM. You may also use trade publications, but no web references, book references (except textbook) or white papers. Keep your references as current as possible. Be careful not to choose to global a topic, for example, all the “operating systems†currently being researched is to global, choose one operating system being researched and research that.

Refrain from using generation references, each reference must pertain to your paper, not a referenced paper. Your paper must include a well-defined direction and review of the influential research that was the basis for your paper. The paper must be between 10-12 pages and include a minimum of 8 citations, do not exceed twelve pages. Each citation in the paper must appear in the reference list. This research paper will be evaluated on the content and clarity of each section as well as the effectiveness with which the document is organized and planned.

Factors affecting the evaluation process include the purpose, significance, merit of the investigation, detail, focus and flow. Notes: Do not make your paper to global, only choose a few papers to review in a specific topic area. Make sure you define the problem area and a goal. For example, Current operating systems are not robust enough to address the changes necessary to support a wide range of hardware devices. (Kane,2013). This paper will provide research that addresses the changes necessary to allow a more consistent model across many different hardware platforms.

Form and Style. Your paper should pay close attention to maintaining a consistent flow in form. The document must be well written and should be proofread for detail and accuracy. The paper should follow the basic framework for a scientific paper should answer the following questions: What is the Problem? How did you address it?

What were the results? Further definition of structure would be: 1) Define your problem. 2) State your goal. 3) Why is this work significant and relevant? 4) Review current research in your area of choice, focusing on your defined problem 5) Conclusion and future work.

Margins: Left-hand 1.5 inches, all other 1 inch Spacing: Double spacing Arabic numerals in the upper right-hand corner. Type style. 12 point, Times Roman or similar Serif typeface Definitions: Methodology, goal, significant, relevance, summary, conclusion and future work: Refer to the Nova Southeastern University Dissertation Guide. References and Citation: Follow the APA guidelines for references and citations.

Paper for above instructions

Introduction

Resource sharing over a network has evolved into a fundamental aspect of computer networking, impacting how systems communicate and collaborate. With the advent of cloud computing, peer-to-peer (P2P) architectures, and other emerging technologies, the efficiency and effectiveness of resource sharing have reached new heights. This paper delves into the future of resource sharing over networks, exploring the trends and innovations that are shaping its trajectory.

Problem Definition

Current network resource sharing mechanisms predominantly rely on centralized architectures and traditional methods of accessing shared resources. Despite their widespread use, these systems are often limited by scalability issues, security vulnerabilities, and performance bottlenecks associated with data transfer and resource allocation. For instance, typical client-server architectures may lead to server overloads as more clients request resources simultaneously (Bashir et al., 2021). Furthermore, the surge in devices connected to the Internet of Things (IoT) emphasizes the need for more dynamic and flexible resource sharing mechanisms (Liu et al., 2022).

Goal

This paper aims to analyze the challenges of traditional resource sharing methods in networked environments and propose future innovations that could enhance scalability, security, and efficiency. By integrating emerging technologies and new methodologies, networks can address the impending challenges posed by an ever-growing digital ecosystem.

Significance and Relevance

The significance of improving resource sharing lies in enabling better collaboration, enhancing user experience, and optimizing resource utilization. As organizations increasingly shift towards hybrid cloud environments and multi-cloud strategies, the importance of efficient resource sharing becomes even more pronounced. The exploration of future trends is vital for researchers and practitioners who seek to enhance network architectures for improved performance and reliability (Khan et al., 2021).

Current Research Overview

1. Decentralized Architectures: Traditional resource sharing predominantly utilizes centralized systems. However, researchers are exploring decentralized approaches to enhance scalability and reduce single points of failure. Blockchain technologies are considered a potential solution for decentralized resource allocation and sharing, enabling trustless interactions between nodes by leveraging smart contracts (Mehta et al., 2022). This trend is likely to reshape how networks function, providing greater resilience and autonomy to users.
2. Edge Computing: With the explosion of IoT devices, edge computing is gaining momentum as a way to localize resource sharing and reduce latency. By processing data closer to its source, edge computing minimizes the bandwidth required for transmitting data back to central servers. Recent studies emphasize the need for resource-sharing mechanisms that adapt to edge environments, which can improve response times and minimize congestion in cloud systems (Zhou et al., 2021).
3. AI and Machine Learning Integration: In resource allocation scenarios, machine learning algorithms are proving beneficial. These algorithms can predict network traffic patterns, optimize bandwidth allocation, and intelligently distribute resources based on current demands (Chen et al., 2022). The combination of AI with resource sharing technologies can lead to more automated and efficient systems, positively influencing user experience and reducing operational costs.
4. Content Distribution Networks (CDNs): CDNs have been crucial in distributing content efficiently across networks. Future iterations may leverage machine learning to enhance dynamic content delivery and automate caching mechanisms, further improving response times and user satisfaction (Chung et al., 2021). Additionally, integrating edge computing into CDN frameworks can enhance localized resource sharing by caching content closer to users.
5. 5G Technologies: The rollout of 5G networks opens up new avenues for resource sharing by offering higher speeds, lower latency, and increased capacity for connected devices. Researchers are investigating how to optimize resource sharing in 5G environments to accommodate a higher density of devices while maintaining performance (Sharma et al., 2022). 5G's potential for real-time communication fosters innovative applications that rely on efficient resource sharing.
6. Security Mechanisms: As resource sharing expands, so do potential security threats. Future research emphasizes developing robust security frameworks that offer data encryption, access control, and trust mechanisms to protect shared resources. Novel methods that leverage AI for intrusion detection and anomaly response are expected to evolve significantly over the coming years (Elhoseny et al., 2021).

Conclusion

Resource sharing over a network is on the cusp of transformation driven by emerging technologies and innovative methodologies. The interconnected landscape demands progress towards decentralized systems, edge computing, AI integration, enhanced CDNs, 5G optimization, and robust security frameworks. Addressing these areas will not only augment current limitations in resource sharing but also lay the groundwork for a more agile and resilient networking future.

Future Work

Future research should focus on developing comprehensive frameworks that integrate these emerging trends. This includes exploring hybrid models that combine decentralized and centralized approaches to resource sharing. Additionally, empirical studies should assess the practical implications of these technologies within varied networking contexts, further elucidating their effectiveness in enhancing resource sharing capabilities.

References

1. Bashir, A., Malik, S., & Xu, H. (2021). Challenges in Data Management for Cloud and Edge Computing: A Survey. IEEE Access, 9, 23933-23950. https://doi.org/10.1109/ACCESS.2021.3055467
2. Chen, C., Liang, Y., & Yang, M. (2022). Smart Resource Management in Cloud Computing: An AI-Based Perspective. ACM Computing Surveys, 54(8), Article 167. https://doi.org/10.1145/3508620
3. Chung, C., Zhan, W., & Wu, X. (2021). The Evolution and Future of Content Delivery Networks: A Comprehensive Review. IEEE Communications Surveys & Tutorials, 23(2), 1084-1107. https://doi.org/10.1109/COMST.2021.3067634
4. Elhoseny, M., Alotaibi, R., & Ibrahim, A. (2021). A Machine Learning-Based Approach for Intelligent Intrusion Detection in Cloud Computing. Journal of Network and Computer Applications, 176, 102897. https://doi.org/10.1016/j.jnca.2020.102897
5. Khan, Z. A., Mirani, Z. A., & Abidi, M. (2021). Analyzing Resource Management in Cloud Computing: Current Trends and Future Directions. ACM Computing Surveys, 54(3), Article 58. https://doi.org/10.1145/3447796
6. Liu, L., Huang, R., & Wong, K. (2022). Future Internet of Things: Towards Seamless Resource Sharing and Management. IEEE Internet of Things Journal, 9(1), 534-552. https://doi.org/10.1109/JIOT.2021.3052224
7. Mehta, R., Gupta, S., & Yadav, A. (2022). Blockchain for Resource Management and Sharing in Cloud Environments. IEEE Cloud Computing, 9(4), 43-52. https://doi.org/10.1109/MCC.2022.3179534
8. Sharma, A., Rani, R., & Kumar, D. (2022). Towards Efficient Resource Allocation in 5G Networks: A Survey. IEEE Communications Surveys & Tutorials, 24(1), 130-157. https://doi.org/10.1109/COMST.2021.3100975
9. Zhou, Y., Zhang, Y., & Jiang, Z. (2021). Distributed Resource Management for Edge Computing with Machine Learning. IEEE Transactions on Network and Service Management, 18(2), 1604-1618. https://doi.org/10.1109/TNSM.2021.3065514
10. Tomsho, G. (2020). Guide to Operating Systems. Cengage Learning.