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Ashish Singh,

Preetam Soni,

Kapil Vijay Javalgekar,

Aniket Anand,

Mritunjay Kr. Ranjan,

Shilpi Saxena,
- Student, School of Computer Sciences and Engineering, Sandip University, Nashik, Maharashtra, India
- Chief Technical Officer, Anishk Sustainable Development Foundation, Korba, Chhattisgarh, India
- Assistant Professor, School of Computer Sciences and Engineering, Sandip University, Nashik, Maharashtra, India
- Scholar, Department of Computer Science and Information Technology, Magadh University, Bodh Gaya, Bihar, India
- Assistant Professor, School of Computer Sciences and Engineering, Sandip University, Nashik, Maharashtra, India
- Assistant Professor, Department of Computer Application & IT, Lords University, Alwar, Rajasthan, India
Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_110617’);});Edit Abstract & Keyword
Modern applications and the rapid evolution of hardware technologies are challenging operating system (OS) design. This paper speculates the future of OS based on revolutionary architecture advancements and emerging possibilities in kernel construction. The growth of multi-core processors, spread bound processing and edge architectures have challenged traditional OS paradigms. The paper provides an analysis of the progress in microkernel and monolithic kernel structures, discussing about the bandwidth capacity as well as security effectiveness. Also, it analyses the effect these changes had on operating system architecture: virtualization containerization real-time processing. It also discusses the possible future directions of increased system efficiency and flexibility, by incorporating AI-driven optimization and autonomous resource management with in OS kernels. Additionally, the paper discusses how quantum computing and non-volatile memory technologies will determine future OS designs. As it is a measure of these advancements, the research sheds light on how upcoming operating systems can fulfil exceptional technology needs to accommodate greater resource efficiency and agility for enhanced user experience. In addition paper also checks for the implications of AI in OS design. AI provides more robust frameworks to felicitate communication between AI algorithms and hardware components.
Keywords: Operating Systems, Kernel Development, Microkernel, Virtualization, Quantum Computing, AI Optimization.
[This article belongs to Journal of Operating Systems Development & Trends (joosdt)]
Ashish Singh, Preetam Soni, Kapil Vijay Javalgekar, Aniket Anand, Mritunjay Kr. Ranjan, Shilpi Saxena. Exploring the Future of Operating Systems: Architectural Innovations and Kernel Development Trends. Journal of Operating Systems Development & Trends. 2024; 11(03):-.
Ashish Singh, Preetam Soni, Kapil Vijay Javalgekar, Aniket Anand, Mritunjay Kr. Ranjan, Shilpi Saxena. Exploring the Future of Operating Systems: Architectural Innovations and Kernel Development Trends. Journal of Operating Systems Development & Trends. 2024; 11(03):-. Available from: https://journals.stmjournals.com/joosdt/article=2024/view=0
References
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- Milojicic D. Operating systems-now and in the future. IEEE Concurrency (out of print). 1999 Jan 1;7(01):12-21.
- Chen A. A review of emerging non-volatile memory (NVM) technologies and applications. Solid-State Electronics. 2016 Nov 1;125:25-38.
- Koponen T, Shenker S, Balakrishnan H, Feamster N, Ganichev I, Ghodsi A, Godfrey PB, McKeown N, Parulkar G, Raghavan B, Rexford J. Architecting for innovation. ACM SIGCOMM Computer Communication Review. 2011 Jul 5;41(3):24-36.
- Zhang Y, Zhao X, Yin J, Zhang L, Chen Z. Operating System And Artificial Intelligence: A Systematic Review. arXiv preprint arXiv:2407.14567. 2024 Jul 19.
- Baumann A, Barham P, Dagand PE, Harris T, Isaacs R, Peter S, Roscoe T, Schüpbach A, Singhania A. The multikernel: a new OS architecture for scalable multicore systems. InProceedings of the ACM SIGOPS 22nd symposium on Operating systems principles 2009 Oct 11 (pp. 29-44).
- Wang SP. Computer Architecture and Organization: Fundamentals and Architecture Security. Springer Nature; 2021 Nov 29.
- Xiao J, Huang H, Wang H. Kernel data attack is a realistic security threat. InSecurity and Privacy in Communication Networks: 11th EAI International Conference, SecureComm 2015, Dallas, TX, USA, October 26-29, 2015, Proceedings 11 2015 (pp. 135-154). Springer International Publishing.
- Rasheed S, Mazhar S, Naqvi MR. Highlighting demanding aspects of operating systems for improved efficiency. In2021 International Conference on Data Analytics for Business and Industry (ICDABI) 2021 Oct 25 (pp. 599-603). IEEE.
- Gordon N, Pedretti K, Lange JR. Porting the Kitten Lightweight Kernel Operating System to RISC-V. In2022 IEEE/ACM International Workshop on Runtime and Operating Systems for Supercomputers (ROSS) 2022 Nov 13 (pp. 1-7). IEEE.
- Sharma R, Sandhu J, Bharti V. Exploring Feature-Based Image Classification for Human Identification in Multimodal Biometric System. In2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) 2024 Mar 14 (pp. 1-6). IEEE.
- Wei J, Yang W, Ye P, Li W, Liao Y, Ding K, Zhou H, Li X. Influence of Capacity Configuration on Stability of Hydropower-Photovoltaic Hybrid Energy Systems. In2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2) 2023 Dec 15 (pp. 1000-1005). IEEE.
- Shi E, Zhang J, Du H, Ai B, Yuen C, Niyato D, Letaief KB, Shen X. RIS-aided cell-free massive MIMO systems for 6G: Fundamentals, system design, and applications. Proceedings of the IEEE. 2024 Apr;112(4):331-64.
- Mukherjee SS, Weaver C, Emer J, Reinhardt SK, Austin T. A systematic methodology to compute the architectural vulnerability factors for a high-performance microprocessor. InProceedings. 36th Annual IEEE/ACM International Symposium on Microarchitecture, 2003. MICRO-36. 2003 Dec 5 (pp. 29-40). IEEE.
- Razouk RR, Stewart T, Wilson M. Measuring operating system performance on modern micro-processors. InProceedings of the 1986 ACM SIGMETRICS joint international conference on Computer performance modelling, measurement and evaluation 1986 May 1 (pp. 193-202).
- Topcuoglu H, Hariri S, Wu MY. Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE transactions on parallel and distributed systems. 2002 Mar;13(3):260-74.
- Arif Md. Sattar, Preetam Soni, Mritunjay Kumarr Ranjan, Amar Kumar, Chandrahas Sahu, Shilpi Saxena, Prafulla Chaudhari. Accelerating Cross-platform Development with Flutter Framework. Journal of Open Source Developments. 2023; 10(2): 1–11p.
- Ahmad N, Javaid N, Mehmood M, Hayat M, Ullah A, Khan HA. Fog-cloud based platform for utilization of resources using load balancing technique. InAdvances in Network-Based Information Systems: The 21st International Conference on Network-Based Information Systems (NBiS-2018) 2019 (pp. 554-567). Springer International Publishing.
- Li D, Zhang Z, Liao W, Xu Z. KLRA: A kernel level resource auditing tool for IoT operating system security. In2018 IEEE/ACM Symposium on Edge Computing (SEC) 2018 Oct 25 (pp. 427-432). IEEE.
- Shropshire J. Analysis of monolithic and microkernel architectures: Towards secure hypervisor design. In2014 47th Hawaii International Conference on System Sciences 2014 Jan 6 (pp. 5008-5017). IEEE.
- Lu S, Lin Z, Zhang M. Kernel vulnerability analysis: A survey. In2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC) 2019 Jun 23 (pp. 549-554). IEEE.
- Montecchi L, Nostro N, Ceccarelli A, Vella G, Caruso A, Bondavalli A. Model-based evaluation of scalability and security tradeoffs: A case study on a multi-service platform. Electronic Notes in Theoretical Computer Science. 2015 Jan 5;310:113-33.
- Gerofi B, Ishikawa Y, Riesen R, Wisniewski RW, Park Y, Rosenburg B. A multi-kernel survey for high-performance computing. InProceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers 2016 Jun 1 (pp. 1-8).
- Novković B, Golub M. Improving monolithic kernel security and robustness through intra-kernel sandboxing. Computers & security. 2023 Apr 1;127:103104.
- Pendleton M, Garcia-Lebron R, Cho JH, Xu S. A survey on systems security metrics. ACM Computing Surveys (CSUR). 2016 Dec 20;49(4):1-35.
- Jimenez M, Papadakis M, Le Traon Y. Vulnerability prediction models: A case study on the linux kernel. In2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM) 2016 Oct 2 (pp. 1-10). IEEE.

Journal of Operating Systems Development & Trends
| Volume | 11 |
| Issue | 03 |
| Received | 22/10/2024 |
| Accepted | 23/10/2024 |
| Published | 04/11/2024 |
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