Harnessing Shell Scripting for Autonomous System Management: A Vision for the Future

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Year : 2024 | Volume :11 | Issue : 03 | Page : –
By
vector

Ushaa Eswaran,

  1. Principal and Professor, Department of Electronics and Communication Engineering, Mahalakshmi Tech Campus Affiliated to Anna University, Chennai, Tamil Nadu, India

Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_110712’);});Edit Abstract & Keyword

As IT systems become increasingly complex, the demand for efficient and automated management solutions is more critical than ever. This paper investigates the pivotal role of shell scripting in the development of autonomous systems that can self-manage and optimize their operations. Shell scripting, with its powerful automation capabilities, serves as a foundational tool for orchestrating various tasks, including system monitoring, data analysis, and deployment processes.

We begin by examining current applications of shell scripting in IT environments, highlighting its advantages in streamlining operations and reducing human error. The paper subsequently investigates possible improvements in shell scripting methods, focusing on incorporating new technologies like artificial intelligence (AI) and machine learning. By incorporating these technologies, we propose a framework for creating intelligent shell scripts capable of adaptive decision-making, predictive maintenance, and real-time performance optimization.

Furthermore, we discuss the implications of autonomous system management for modern IT infrastructures, including scalability, reliability, and efficiency. Using case studies and detailed analysis, we demonstrate the advantages and obstacles involved in implementing these systems. Ultimately, this paper envisions a future where shell scripting evolves to facilitate fully autonomous operations, enabling organizations to thrive in an increasingly dynamic technological landscape.

Keywords: Shell Scripting, Autonomous Systems, IT Management, Automation, Artificial Intelligence, Machine Learning, Predictive Maintenance, System Optimization, DevOps, Self-Managing Systems.

[This article belongs to Journal of Advances in Shell Programming (joasp)]

How to cite this article:
Ushaa Eswaran. Harnessing Shell Scripting for Autonomous System Management: A Vision for the Future. Journal of Advances in Shell Programming. 2024; 11(03):-.
How to cite this URL:
Ushaa Eswaran. Harnessing Shell Scripting for Autonomous System Management: A Vision for the Future. Journal of Advances in Shell Programming. 2024; 11(03):-. Available from: https://journals.stmjournals.com/joasp/article=2024/view=0

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References
document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_110712’);});Edit

[1]        Thomas J, Noel-Storr A, Marshall I, Wallace B, McDonald S, Mavergames C, Glasziou P, Shemilt I, Synnot A, Turner T, Elliott J. Living systematic reviews: 2. Combining human and machine effort. Journal of clinical epidemiology. 2017 Nov 1;91:31-7.

[2]        Brown AB, Hellerstein JL, Keller A. Automating System Administration: Landscape, Approaches and Costs. InHandbook of Network and System Administration 2008 Jan 1 (pp. 43-74). Elsevier.

[3]        Schneider JG, Lumpe M, Nierstrasz O. Agent coordination via scripting languages. Coordination of Internet Agents: Models, Technologies, and Applications. 2001:153-82.

[4]        Gupta BB, Quamara M. An overview of Internet of Things (IoT): Architectural aspects, challenges, and protocols. Concurrency and Computation: Practice and Experience. 2020 Nov 10;32(21):e4946.

[5]        Gonzalez LR, Stubberfield A. Cracking the Data Science Interview: Unlock insider tips from industry experts to master the data science field. Packt Publishing Ltd; 2024 Feb 29.

[6]        Niemi A. Survey of Real-World Process Sandboxing. In2024 35th Conference of Open Innovations Association (FRUCT) 2024 Apr 24 (pp. 520-531). IEEE.

[7]        Stevens K, Erdemir M, Zhang H, Kim T, Pearce P. BluePrint: Automatic Malware Signature Generation for Internet Scanning. InProceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses 2024 Sep 30 (pp. 197-214).

[8]        Banala S. DevOps Essentials: Key Practices for Continuous Integration and Continuous Delivery. International Numeric Journal of Machine Learning and Robots. 2024 Jan 9;8(8):1-4.

[9]        Koval O. Cloud infrastructures in business management (based on HedgeHog Agency case) (Doctoral dissertation, Private Higher Educational Establishment-Institute “Ukrainian-American Concordia University”). 2024. Available form https://elib.uacu.edu.ua/xmlui/handle/123456789/261

[10]      Wech, Aidan. Isolation-Centric Operating Systems for the Enterprise. Diss. WORCESTER POLYTECHNIC INSTITUTE, 2024.

[11]      Ma M, Han L, Zhou C. Research and application of artificial intelligence based webshell detection model: A literature review. arXiv preprint arXiv:2405.00066. 2024 Apr 28.

[12]      Andreoni M, Lunardi WT, Lawton G, Thakkar S. Enhancing autonomous system security and resilience with generative AI: A comprehensive survey. IEEE Access. 2024 Aug 6.

[13]      Markaj A, Mercangöz M, Fay A. Design and implementation of an autonomous systems training environment framework for control algorithm evaluation in autonomous plant operation. Computers & Chemical Engineering. 2024 Oct 1;189:108798.

[14]      Shah CV. Machine learning algorithms for predictive maintenance in autonomous vehicles. International journal of engineering and computer science. 2024 Jan;13(01):26015-32.

[15]      Tatineni S. Integrating Artificial Intelligence with DevOps: Advanced Techniques, Predictive Analytics, and Automation for Real-Time Optimization and Security in Modern Software Development. Libertatem Media Private Limited; 2024 Mar 15.

[16]      Neelakrishnan P. Data Security Solution Design. InAutonomous Data Security: Creating a Proactive Enterprise Protection Plan 2024 Oct 8 (pp. 147-217). Berkeley, CA: Apress.

[17]      Korhonen K. Evaluating business value of engineering data platform in financial software industry. 2024. Available form https://trepo.tuni.fi/bitstream/handle/10024/153800/KorhonenKosti.pdf?sequence=2

[18] El Aouni F, Moumane K, Idri A, Najib M, Jan SU. A systematic literature review on Agile, Cloud, and DevOps integration: Challenges, benefits. Information and Software Technology. 2024 Sep 2:107569.

[19]      Herre C, Ho A, Eisenbraun B, Vincent J, Nicholson T, Boutsioukis G, Meyer PA, Ottaviano M, Krause KL, Key J, Sliz P. Introduction of the Capsules environment to support further growth of the SBGrid structural biology software collection. Acta Crystallographica Section D: Structural Biology. 2024 Jun 1;80(6):439-50.


Regular Issue Subscription Review Article
Volume 11
Issue 03
Received 25/10/2024
Accepted 29/10/2024
Published 04/11/2024

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