The Interface of Hardware and Intelligence: The Function of Operating Systems

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 13 | 01 | Page :
    By

    V. Basil Hans,

  1. Research Professor, Department of Management and Commerce, Srinivas University, Mangaluru, Karnataka, India

Abstract

Operating systems play a central role in bridging the gap between computer hardware and user interaction. They simplify complex machine-level operations and transform them into user-friendly and efficient digital experiences. At their core, operating systems are responsible for managing essential tasks such as process scheduling, memory allocation, file system organization, and device coordination. By handling these functions effectively, they ensure that hardware resources are used in an optimal and balanced way. In addition to resource management, operating systems contribute significantly to system security and stability. They protect data, prevent unauthorized access, and reduce the chances of system crashes, allowing users to perform both basic and advanced computing tasks with confidence. Without an operating system, interacting with hardware would be extremely difficult and time-consuming. Over time, operating systems have evolved remarkably. Early systems relied heavily on command-line interfaces, requiring technical expertise, while modern operating systems offer intuitive graphical interfaces and intelligent features. Today’s platforms are more adaptive, supporting multitasking, cloud integration, and mobile computing. This continuous evolution highlights how operating systems remain a crucial intersection between hardware capabilities and human needs in an ever-changing technological landscape.

Keywords: Operating Systems (OS), Hardware for computers, Managing Software, Scheduling Processes, Managing memory, The file system, Drivers for devices, User Interface

How to cite this article:
V. Basil Hans. The Interface of Hardware and Intelligence: The Function of Operating Systems. Journal of Operating Systems Development & Trends. 2026; 13(01):-.
How to cite this URL:
V. Basil Hans. The Interface of Hardware and Intelligence: The Function of Operating Systems. Journal of Operating Systems Development & Trends. 2026; 13(01):-. Available from: https://journals.stmjournals.com/joosdt/article=2026/view=242339


References

[1] Vichare A. Intensional view of general single processor operating systems. arXiv; 2013. Available from: https://doi.org/10.48550/arXiv.1308.1199

[2] Iliev AP. Formal description of components in operating systems. arXiv; 2014. Available from: https://doi.org/10.48550/arXiv.1402.4929

[3] Farooq U, Iqbal MA, Nazir S. A glance into the future of human computer interactions. arXiv; 2011. Available from: https://doi.org/10.48550/arXiv.1107.4217

[4] Miljan VULETIC, Unifying software and hardware of multithreaded reconfigurable applications within operating system processes. Lausanne: École polytechnique fédérale de Lausanne; 2006. Available from: https://infoscience.epfl.ch/entities/publication/704b6d7d-c755-43c1-8c0e-58a60b205386

[5] Yang T. Operating system support for modern applications [dissertation]. Amherst (MA): University of Massachusetts Amherst; 2009.

[7] Seltzer MI, Endo Y, Small C, Smith KA. Issues in extensible operating systems. Cambridge (MA): Harvard University; 1997. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:25811000

[8] Nikseresht MR, Somayaji A, Maheshwari A. Customer appeasement scheduling. arXiv; 2010. Available from: https://doi.org/10.48550/arXiv.1012.3452

[9] Weil F, Jamieson LH, Delp EJ. Dynamic intelligent scheduling and control of reconfigurable parallel architectures for computer vision/image processing. Journal of Parallel and Distributed Computing. 1991 Nov 1;13(3):273-85.

[10] Goel N, Garg RB. A comparative study of CPU scheduling algorithms. arXiv; 2013 . Available from: https://doi.org/10.48550/arXiv.1307.4165

[11] Cheng S, Higham L, Kawash J. Partition consistency: A case study in modeling systems with weak memory consistency and proving correctness of their implementations. Distributed computing. 2014 Oct;27(5):363-89.
[12] Ge Z, Lim HB, Wong WF. Memory hierarchy hardware-software co-design in embedded systems. Cambridge (MA): Massachusetts Institute of Technology; 2005 Jan. Available from: http://hdl.handle.net/1721.1/7427

[13] Vallat B, Tauriello G, Bienert S, Haas J, Webb BM, Žídek A, Zheng W, Peisach E, Piehl DW, Anischanka I, Sillitoe I. ModelCIF: an extension of PDBx/mmCIF data representation for computed structure models. Journal of molecular biology. 2023 Jul 15;435(14):168021.

[14] Klimiankou Y. An enhanced multi-pager environment support for second generation microkernels. arXiv; 2014. Available from: https://doi.org/10.48550/arXiv.1404.1637

[15] Gerber S, Zellweger G, Achermann R, Hoffmann M, Kourtis K, Roscoe T, Milojicic D. Cichlid: Explicit physical memory management for large machines. arXiv preprint arXiv:1911.08367. 2019 Nov 19.
[16] Suh T, Blough DM, Lee HH. Supporting cache coherence in heterogeneous multiprocessor systems. InProceedings Design, Automation and Test in Europe Conference and Exhibition 2004 Feb 16 (Vol. 2, pp. 1150-1155). IEEE.

[17] Sensfelder N, Brunel J, Pagetti C. Modeling cache coherence to expose interference. In: Proceedings of the 31st Euromicro Conference on Real-Time Systems (ECRTS 2019); 2019 Jul; Stuttgart, Germany. Available from: https://doi.org/10.4230/LIPIcs.ECRTS.2019.18

[18] Wu HG. Fieldbus device drivers for accelerator control at DESY. arXiv; 2001. Available from: https://doi.org/10.48550/arXiv.hep-ph/0111257

[19] Smith JM, Traw CBS. Operating systems support for end-to-end Gbps networking. Philadelphia (PA): University of Pennsylvania; 1993 Mar. Available from: http://repository.upenn.edu/cis_reports/284

[20] Soviani C, Edwards SA, Keromytis AD. Adding a flow-oriented paradigm to commodity operating systems. In: Proceedings of the First Annual Workshop on Interaction between Operating System and Computer Architecture (IOSCA-1); 2005. New York (NY): Columbia University;. Available from: https://doi.org/10.7916/D80V8P56

[21] Yao Z, Seyed Talebi SM, Chen M, Amiri Sani A, Anderson T. Minimizing trust with exclusively-used physically-isolated hardware. arXiv; 2022. Available from: https://doi.org/10.48550/arXiv.2203.08284 /

[22] Payne BD. Improving host-based computer security using secure active monitoring and memory analysis. Atlanta (GA): Georgia Institute of Technology; 2010 Aug.

[23] Yitbarek SF. Hardware mechanisms for efficient memory system security [dissertation on the Internet]. Ann Arbor (MI): University of Michigan; 2018. Available from: https://hdl.handle.net/2027.42/147604

[24] Achermann R, Hossle N, Humbel L, Schwyn D, Cock D, Roscoe T. Secure memory management on modern hardware . arXiv; 2020 . Available from: https://doi.org/10.48550/arXiv.2009.02737

25] Kiyanclar N. A survey of virtualization techniques focusing on secure on-demand cluster computing. arXiv; 2005. Available from: https://doi.org/10.48550/arXiv.cs/0511010

[28] Laadan O, Nieh J. Operating system virtualization: practice and experience. In: Proceedings of the 3rd Annual Haifa Experimental Systems Conference (SYSTOR ’10); 2010 May 24–26; Haifa, Israel. New York (NY): Association for Computing Machinery; 2010. p. 1–12. Available from: https://doi.org/10.1145/1815695.1815717

[29] Hanson HL. Coordinated power, energy, and temperature management [dissertation]. Austin (TX): The University of Texas at Austin; 2007.
[30] Beloglazov A, Buyya R, Lee YC, Zomaya A. A taxonomy and survey of energy-efficient data centers and cloud computing systems. Advances in computers. 2011 Jan 1;82:47-111.

[31] Becker M, Chakraborty S. Measuring software performance on Linux.arXiv; 2018. Available from: https://doi.org/10.48550/arXiv.1811.01412.
[32] Foreman JC, Ragade RK, Graham JH. New software metrics for evaluation and comparison of advanced power management systems. IEEE Systems Journal. 2009 Sep;3(3):331–5. Available from: https://doi.org/10.1109/JSYST.2009.2028747

[33] Andrade H, Crnkovic I. A review on software architectures for heterogeneous platforms. In2018 25th Asia-Pacific Software Engineering Conference (APSEC) 2018 Dec 4 (pp. 209-218). IEEE.

Ahead of Print Subscription Review Article
Volume 13
01
Received 27/03/2026
Accepted 04/04/2026
Published 30/04/2026
Publication Time 34 Days
9

Login


My IP

PlumX Metrics