Academic Journal
Optimization of resource-aware parallel and distributed computing: a review.
| Title: | Optimization of resource-aware parallel and distributed computing: a review. |
|---|---|
| Authors: | Czarnul, Paweł, Antal, Marcel, Baniata, Hamza, Griebler, Dalvan, Kertesz, Attila, Kessler, Christoph W., Kouloumpris, Andreas, Kovačić, Salko, Markus, Andras, Michael, Maria K., Nikolaou, Panagiota, Öz, Isil, Prodan, Radu, Rakić, Gordana |
| Source: | Journal of Supercomputing; May2025, Vol. 81 Issue 7, p1-80, 80p |
| Abstract: | This paper presents a review of state-of-the-art solutions concerning the optimization of computing in the field of parallel and distributed systems. Firstly, we contribute by identifying resources and quality metrics in this context including servers, network interconnects, storage systems, computational devices as well as execution time/performance, energy, security, and error vulnerability, respectively. We subsequently identify commonly used problem formulations and algorithms for integer linear programming, greedy algorithms, dynamic programming, genetic algorithms, particle swarm optimization, ant colony optimization, game theory, and reinforcement learning. Afterward, we characterize frequently considered optimization problems by stating these terms in domains such as data centers, cloud, fog, blockchain, high performance, and volunteer computing. Based on the extensive analysis, we identify how particular resources and corresponding quality metrics are considered in these domains and which problem formulations are used for which system types, either parallel or distributed environments. This allows us to formulate open research problems and challenges in this field and analyze research interest in problem formulations/domains in recent years. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/s11227-025-07295-7 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimization of resource-aware parallel and distributed computing: a review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Czarnul%2C+Paweł%22">Czarnul, Paweł</searchLink><br /><searchLink fieldCode="AR" term="%22Antal%2C+Marcel%22">Antal, Marcel</searchLink><br /><searchLink fieldCode="AR" term="%22Baniata%2C+Hamza%22">Baniata, Hamza</searchLink><br /><searchLink fieldCode="AR" term="%22Griebler%2C+Dalvan%22">Griebler, Dalvan</searchLink><br /><searchLink fieldCode="AR" term="%22Kertesz%2C+Attila%22">Kertesz, Attila</searchLink><br /><searchLink fieldCode="AR" term="%22Kessler%2C+Christoph+W%2E%22">Kessler, Christoph W.</searchLink><br /><searchLink fieldCode="AR" term="%22Kouloumpris%2C+Andreas%22">Kouloumpris, Andreas</searchLink><br /><searchLink fieldCode="AR" term="%22Kovačić%2C+Salko%22">Kovačić, Salko</searchLink><br /><searchLink fieldCode="AR" term="%22Markus%2C+Andras%22">Markus, Andras</searchLink><br /><searchLink fieldCode="AR" term="%22Michael%2C+Maria+K%2E%22">Michael, Maria K.</searchLink><br /><searchLink fieldCode="AR" term="%22Nikolaou%2C+Panagiota%22">Nikolaou, Panagiota</searchLink><br /><searchLink fieldCode="AR" term="%22Öz%2C+Isil%22">Öz, Isil</searchLink><br /><searchLink fieldCode="AR" term="%22Prodan%2C+Radu%22">Prodan, Radu</searchLink><br /><searchLink fieldCode="AR" term="%22Rakić%2C+Gordana%22">Rakić, Gordana</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of Supercomputing; May2025, Vol. 81 Issue 7, p1-80, 80p – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a review of state-of-the-art solutions concerning the optimization of computing in the field of parallel and distributed systems. Firstly, we contribute by identifying resources and quality metrics in this context including servers, network interconnects, storage systems, computational devices as well as execution time/performance, energy, security, and error vulnerability, respectively. We subsequently identify commonly used problem formulations and algorithms for integer linear programming, greedy algorithms, dynamic programming, genetic algorithms, particle swarm optimization, ant colony optimization, game theory, and reinforcement learning. Afterward, we characterize frequently considered optimization problems by stating these terms in domains such as data centers, cloud, fog, blockchain, high performance, and volunteer computing. Based on the extensive analysis, we identify how particular resources and corresponding quality metrics are considered in these domains and which problem formulations are used for which system types, either parallel or distributed environments. This allows us to formulate open research problems and challenges in this field and analyze research interest in problem formulations/domains in recent years. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11227-025-07295-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 80 StartPage: 1 Titles: – TitleFull: Optimization of resource-aware parallel and distributed computing: a review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Czarnul, Paweł – PersonEntity: Name: NameFull: Antal, Marcel – PersonEntity: Name: NameFull: Baniata, Hamza – PersonEntity: Name: NameFull: Griebler, Dalvan – PersonEntity: Name: NameFull: Kertesz, Attila – PersonEntity: Name: NameFull: Kessler, Christoph W. – PersonEntity: Name: NameFull: Kouloumpris, Andreas – PersonEntity: Name: NameFull: Kovačić, Salko – PersonEntity: Name: NameFull: Markus, Andras – PersonEntity: Name: NameFull: Michael, Maria K. – PersonEntity: Name: NameFull: Nikolaou, Panagiota – PersonEntity: Name: NameFull: Öz, Isil – PersonEntity: Name: NameFull: Prodan, Radu – PersonEntity: Name: NameFull: Rakić, Gordana IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09208542 Numbering: – Type: volume Value: 81 – Type: issue Value: 7 Titles: – TitleFull: Journal of Supercomputing Type: main |
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