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Cited by 197History of Computing TechnologiesCloud Computing and Resource ManagementIoT and Edge/Fog Computing

Modern computing: Vision and challenges

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Gill, Sukhpal Singh, Wu, Huaming, Patros, Panos, Ottaviani, Carlo, Arora, Priyansh, Pujol, Victor Casamayor, Haunschild, David, Parlikad, Ajith Kumar +17 more·2024·Telematics and Informatics Reports
DOI 10.1016/j.teler.2024.100116
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Abstract

Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by technological advancements, computer systems, far from being static, have been continuously evolving and adapting to cover multifaceted societal niches. This has led to new paradigms such as cloud, fog, edge computing, and the Internet of Things (IoT), which offer fresh economic and creative opportunities. Nevertheless, this rapid change poses complex research challenges, especially in maximizing potential and enhancing functionality. As such, to maintain an economical level of performance that meets ever-tighter requirements, one must understand the drivers of new model emergence and expansion, and how contemporary challenges differ from past ones. To that end, this article investigates and assesses the factors influencing the evolution of computing systems, covering established systems and architectures as well as newer developments, such as serverless computing, quantum computing, and on-device AI on edge devices. Trends emerge when one traces technological trajectory, which includes the rapid obsolescence of frameworks due to business and technical constraints, a move towards specialized systems and models, and varying approaches to centralized and decentralized control. This comprehensive review of modern computing systems looks ahead to the future of research in the field, highlighting key challenges and emerging trends, and underscoring their importance in cost-effectively driving technological progress.

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  • Automation is indispensable for Unix/Linux system administration.

    “This is where automation becomes indispensable (Gill et al., 2024).”

    From Modern Approaches to Unix Automation: Shell Scripting, Configuration Management, and Security (2025) · cites this paper as Gill et al., 2024

    Section 4.3.1.3 says AI-driven, self-managing computers will simplify system administration and reduce upkeep. It does not address Unix/Linux administration specifically or say that automation is indispensable. (LLM, conf=0.84)

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Cited by

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Authors
Gill, S. S., Wu, H., Patros, P., Ottaviani, C., Arora, P., Pujol, V. C., Haunschild, D., Parlikad, A. K., Cetinkaya, O., Lutfiyya, H., Stankovski, V., Li, R., Ding, Y., Qadir, J., Abraham, A., Ghosh, S. K., Song, H. H., Sakellariou, R., Rana, O., Rodrigues, J. J. P. C., Kanhere, S. S., Dustdar, S., Uhlig, S., Ramamohanarao, K., & Buyya, R.
Affiliations
  • Queen Mary University of London (GB)
  • Tianjin University (CN)
  • University of York (GB)
  • Microsoft (Netherlands) (NL)
  • University of Cambridge (GB)
  • University of Oxford (GB)
  • Western University (CA)
  • University of Ljubljana (SI)
  • Kanazawa University (JP)
  • Universidad de Navarra (ES)
  • Qatar University (QA)
  • Bennett University (IN)
  • Indian Institute of Technology Kharagpur (IN)
  • University of Maryland, Baltimore County (US)
  • University of Manchester (GB)
  • Cardiff University (GB)
  • King Saud University (SA)
  • UNSW Sydney (AU)
  • TU Wien (AT)
  • The University of Melbourne (AU)
Corresponding author
Gill, Sukhpal Singh
ORCID
Venue
Telematics and Informatics Reports
Publisher
Elsevier BV
Published
2024-03
Volume
13
Pages
100116
ISSN
2772-5030 (ISSN-L)
DOI
10.1016/j.teler.2024.100116
OpenAlex
W4390660438
Cited by
197
References
33
Citations by year
2026: 36 · 2025: 79 · 2024: 79 · 2023: 3
FWCI
73.19
Type
journal article
Language
en
Open access
Licence
Locations
  • Telematics and Informatics Reports (publishedVersion, cc-by)
  • Research Explorer (The University of Manchester) (publishedVersion, other-oa)
  • Repositori digital de la UPF (Universitat Pompeu Fabra) (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion, cc-by)
  • Qatar University QSpace (Qatar University) (submittedVersion, cc-by)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (submittedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by)
Funders
University of Texas at Austin
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › History of Computing Technologies
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
cloud computing, fog computing, edge computing, Internet of Things, serverless computing, quantum computing, on-device AI, centralized and decentralized control, future research challenges

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