Modern computing: Vision and challenges

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...

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Vydané v:Telematics and Informatics Reports Ročník 13; s. 100116
Hlavní autori: Gill, Sukhpal Singh, Wu, Huaming, Patros, Panos, Ottaviani, Carlo, Arora, Priyansh, Pujol, Victor Casamayor, Haunschild, David, Parlikad, Ajith Kumar, Cetinkaya, Oktay, Lutfiyya, Hanan, Stankovski, Vlado, Li, Ruidong, Ding, Yuemin, Qadir, Junaid, Abraham, Ajith, Ghosh, Soumya K., Song, Houbing Herbert, Sakellariou, Rizos, Rana, Omer, Rodrigues, Joel J.P.C., Kanhere, Salil S., Dustdar, Schahram, Uhlig, Steve, Ramamohanarao, Kotagiri, Buyya, Rajkumar
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.03.2024
Elsevier
Predmet:
Artificial Intelligence
Cloud computing
Computing
Edge AI
Edge computing
Machine learning
Modern computing
Quantum computing
Cloud computing
Quantum computing
Artificial Intelligence
Edge AI
Machine learning
Computing
Modern computing
Edge computing
ISSN:2772-5030, 2772-5030
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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. [Display omitted] •We explore the evolution of computing paradigms & technological drivers (1960 onward).•We offer a taxonomy of modern computing based on impact and performance criteria.•We classify computing based on paradigms, technologies, impact areas, and trends.•We identify open challenges and research directions for computing traits.•We introduce a hype cycle for modern computing systems, spotlighting emerging trends.
AbstractList 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.
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. [Display omitted] •We explore the evolution of computing paradigms & technological drivers (1960 onward).•We offer a taxonomy of modern computing based on impact and performance criteria.•We classify computing based on paradigms, technologies, impact areas, and trends.•We identify open challenges and research directions for computing traits.•We introduce a hype cycle for modern computing systems, spotlighting emerging trends.
ArticleNumber 100116
Author Rodrigues, Joel J.P.C.
Stankovski, Vlado
Song, Houbing Herbert
Gill, Sukhpal Singh
Rana, Omer
Abraham, Ajith
Qadir, Junaid
Wu, Huaming
Ding, Yuemin
Kanhere, Salil S.
Arora, Priyansh
Uhlig, Steve
Parlikad, Ajith Kumar
Lutfiyya, Hanan
Haunschild, David
Pujol, Victor Casamayor
Ramamohanarao, Kotagiri
Ottaviani, Carlo
Li, Ruidong
Dustdar, Schahram
Sakellariou, Rizos
Patros, Panos
Ghosh, Soumya K.
Cetinkaya, Oktay
Buyya, Rajkumar
Author_xml – sequence: 1
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  orcidid: 0000-0002-3913-0369
  surname: Gill
  fullname: Gill, Sukhpal Singh
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  organization: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
– sequence: 2
  givenname: Huaming
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  fullname: Wu, Huaming
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  organization: Center for Applied Mathematics, Tianjin University, Tianjin, China
– sequence: 3
  givenname: Panos
  surname: Patros
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  organization: Department of Computer Science and York Centre for Quantum Technologies, University of York, York, UK
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  organization: Department of Computer Science, University of Western Ontario, London, Canada
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  email: lrd@se.kanazawa-u.ac.jp
  organization: Institute of Science and Engineering, Kanazawa University, Japan
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  givenname: Yuemin
  surname: Ding
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  email: yueminding@tecnun.es
  organization: Tecnun School of Engineering, University of Navarra, Spain
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  surname: Qadir
  fullname: Qadir, Junaid
  email: jqadir@qu.edu.qa
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– sequence: 15
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  fullname: Abraham, Ajith
  email: ajith.abraham@ieee.org
  organization: Bennett University, Greater Noida, India
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  givenname: Soumya K.
  surname: Ghosh
  fullname: Ghosh, Soumya K.
  email: skg@cse.iitkgp.ac.in
  organization: Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India
– sequence: 17
  givenname: Houbing Herbert
  surname: Song
  fullname: Song, Houbing Herbert
  email: songh@umbc.edu
  organization: Department of Information Systems University of Maryland, Baltimore County (UMBC), Baltimore, USA
– sequence: 18
  givenname: Rizos
  surname: Sakellariou
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  email: rizos@manchester.ac.uk
  organization: Department of Computer Science, University of Manchester, Oxford Road, Manchester, UK
– sequence: 19
  givenname: Omer
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  email: ranaof@cardiff.ac.uk
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– sequence: 20
  givenname: Joel J.P.C.
  surname: Rodrigues
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– sequence: 21
  givenname: Salil S.
  surname: Kanhere
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  email: salil.kanhere@unsw.edu.au
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  givenname: Schahram
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  email: dustdar@dsg.tuwien.ac.at
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– sequence: 23
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  email: steve.uhlig@qmul.ac.uk
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  surname: Buyya
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Snippet Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational...
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SubjectTerms Artificial Intelligence
Cloud computing
Computing
Edge AI
Edge computing
Machine learning
Modern computing
Quantum computing
Title Modern computing: Vision and challenges
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