Graph Convolutional Reinforcement Learning for Load Balancing and Smart Queuing Article Swipe
Hassan Fawaz
,
Omar Houidi
,
Djamal Zeghlache
,
Julien Lesca
,
Pham Tran Anh Quang
,
Jérémie Leguay
,
Paolo Medagliani
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.23919/ifipnetworking57963.2023.10186430
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.23919/ifipnetworking57963.2023.10186430
International audience
Related Topics
Concepts
Computer science
Testbed
Reinforcement learning
Load balancing (electrical power)
Network packet
Queueing theory
Distributed computing
Computer network
Throughput
Graph
Load management
Fair queuing
Quality of service
Artificial intelligence
Theoretical computer science
Grid
Electrical engineering
Telecommunications
Geometry
Wireless
Round-robin scheduling
Fair-share scheduling
Engineering
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.23919/ifipnetworking57963.2023.10186430
- OA Status
- green
- Cited By
- 5
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385214194
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385214194Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.23919/ifipnetworking57963.2023.10186430Digital Object Identifier
- Title
-
Graph Convolutional Reinforcement Learning for Load Balancing and Smart QueuingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-06-12Full publication date if available
- Authors
-
Hassan Fawaz, Omar Houidi, Djamal Zeghlache, Julien Lesca, Pham Tran Anh Quang, Jérémie Leguay, Paolo MedaglianiList of authors in order
- Landing page
-
https://doi.org/10.23919/ifipnetworking57963.2023.10186430Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hal.science/hal-04389446Direct OA link when available
- Concepts
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Computer science, Testbed, Reinforcement learning, Load balancing (electrical power), Network packet, Queueing theory, Distributed computing, Computer network, Throughput, Graph, Load management, Fair queuing, Quality of service, Artificial intelligence, Theoretical computer science, Grid, Electrical engineering, Telecommunications, Geometry, Wireless, Round-robin scheduling, Fair-share scheduling, Engineering, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:HAL:hal-04389446v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402512 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | HAL (Le Centre pour la Communication Scientifique Directe) |
| best_oa_location.source.host_organization | https://openalex.org/I1294671590 |
| best_oa_location.source.host_organization_name | Centre National de la Recherche Scientifique |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1294671590 |
| best_oa_location.license | other-oa |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Conference papers |
| best_oa_location.license_id | https://openalex.org/licenses/other-oa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | 2023 IFIP Networking Conference (IFIP Networking), Jun 2023, Barcelona, France. pp.1-9, ⟨10.23919/IFIPNetworking57963.2023.10186430⟩ |
| best_oa_location.landing_page_url | https://hal.science/hal-04389446 |
| primary_location.id | doi:10.23919/ifipnetworking57963.2023.10186430 |
| primary_location.is_oa | False |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | 2023 IFIP Networking Conference (IFIP Networking) |
| primary_location.landing_page_url | https://doi.org/10.23919/ifipnetworking57963.2023.10186430 |
| publication_date | 2023-06-12 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W4281636255, https://openalex.org/W4290996521, https://openalex.org/W3034569288, https://openalex.org/W3159537171, https://openalex.org/W4210878699, https://openalex.org/W6768539364, https://openalex.org/W6767328439, https://openalex.org/W2113852631, https://openalex.org/W2944525691, https://openalex.org/W6739901393, https://openalex.org/W6780955760, https://openalex.org/W2145339207, https://openalex.org/W4211068600, https://openalex.org/W6684921986, https://openalex.org/W2079258408, https://openalex.org/W2063777913, https://openalex.org/W6677771311, https://openalex.org/W4306179383, https://openalex.org/W2804791273, https://openalex.org/W2118133343, https://openalex.org/W3046214836, https://openalex.org/W2995937146, https://openalex.org/W2971727319, https://openalex.org/W2963864421, https://openalex.org/W4385245566 |
| referenced_works_count | 25 |
| abstract_inverted_index.audience | 1 |
| abstract_inverted_index.International | 0 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.79491631 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |