Advancing Data Center Networks: A Focus on Energy and Cost Efficiency
<p dir="ltr">Data centers serve as the backbone for cloud computing, enterprise services, and infrastructure-based offerings. One area of ongoing research in data center networking focuses on innovating new topologies for large-scale node connectivity. These topologies must incorpora...
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2023
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| _version_ | 1864513527392239616 |
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| author | Zina Chkirbene (16869987) |
| author2 | Ridha Hamila (7006457) Arafat Al-Dweik (17983744) Tamer Khattab (16870086) |
| author2_role | author author author |
| author_facet | Zina Chkirbene (16869987) Ridha Hamila (7006457) Arafat Al-Dweik (17983744) Tamer Khattab (16870086) |
| author_role | author |
| dc.creator.none.fl_str_mv | Zina Chkirbene (16869987) Ridha Hamila (7006457) Arafat Al-Dweik (17983744) Tamer Khattab (16870086) |
| dc.date.none.fl_str_mv | 2023-10-17T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2023.3325321 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Advancing_Data_Center_Networks_A_Focus_on_Energy_and_Cost_Efficiency/25239541 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Switches Topology Network topology Servers Data centers Costs Scalability Energy consumption flexible connection infrastructure cost |
| dc.title.none.fl_str_mv | Advancing Data Center Networks: A Focus on Energy and Cost Efficiency |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Data centers serve as the backbone for cloud computing, enterprise services, and infrastructure-based offerings. One area of ongoing research in data center networking focuses on innovating new topologies for large-scale node connectivity. These topologies must incorporate fault-tolerant and efficient routing algorithms. Consequently, the data center network topology must dynamically adapt to ever-changing application requirements. While traditional topology designs often emphasize scalability, they are typically limited by the necessity for dedicated switches to manage server connections. The development of software technologies that distinguish server and switch roles offers a unique opportunity to reconsider design priorities, paving the way for a more balanced assessment of scalability, energy efficiency, and infrastructure costs. Moreover, certain network topologies fail to be cost-effective due to their structural intricacies, often requiring far more node connections than those that are practically necessary. To address these challenges, we introduce VacoNet: a new flexible data center network topology that organizes nodes into structurally similar clusters, interconnected by a novel physical structure algorithm. Boasting high bisection bandwidth, VacoNet delivers robust network capacity, even when encountering bottlenecks. Furthermore, to connect a given set of nodes, VacoNet uses a minimal number of cables and switches, thereby drastically reducing both infrastructure costs and energy consumption. Simulation results show that VacoNet can reduce error rates by 20% and slash infrastructure costs by 70% compared to existing solutions. Additionally, it performs tasks 30% faster, underscoring its superior performance.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3325321" target="_blank">https://dx.doi.org/10.1109/access.2023.3325321</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_e0517f46b564a00c5d69b4f015c3d037 |
| identifier_str_mv | 10.1109/access.2023.3325321 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25239541 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Advancing Data Center Networks: A Focus on Energy and Cost EfficiencyZina Chkirbene (16869987)Ridha Hamila (7006457)Arafat Al-Dweik (17983744)Tamer Khattab (16870086)EngineeringElectrical engineeringElectronics, sensors and digital hardwareMaterials engineeringSwitchesTopologyNetwork topologyServersData centersCostsScalabilityEnergy consumptionflexible connectioninfrastructure cost<p dir="ltr">Data centers serve as the backbone for cloud computing, enterprise services, and infrastructure-based offerings. One area of ongoing research in data center networking focuses on innovating new topologies for large-scale node connectivity. These topologies must incorporate fault-tolerant and efficient routing algorithms. Consequently, the data center network topology must dynamically adapt to ever-changing application requirements. While traditional topology designs often emphasize scalability, they are typically limited by the necessity for dedicated switches to manage server connections. The development of software technologies that distinguish server and switch roles offers a unique opportunity to reconsider design priorities, paving the way for a more balanced assessment of scalability, energy efficiency, and infrastructure costs. Moreover, certain network topologies fail to be cost-effective due to their structural intricacies, often requiring far more node connections than those that are practically necessary. To address these challenges, we introduce VacoNet: a new flexible data center network topology that organizes nodes into structurally similar clusters, interconnected by a novel physical structure algorithm. Boasting high bisection bandwidth, VacoNet delivers robust network capacity, even when encountering bottlenecks. Furthermore, to connect a given set of nodes, VacoNet uses a minimal number of cables and switches, thereby drastically reducing both infrastructure costs and energy consumption. Simulation results show that VacoNet can reduce error rates by 20% and slash infrastructure costs by 70% compared to existing solutions. Additionally, it performs tasks 30% faster, underscoring its superior performance.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3325321" target="_blank">https://dx.doi.org/10.1109/access.2023.3325321</a></p>2023-10-17T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2023.3325321https://figshare.com/articles/journal_contribution/Advancing_Data_Center_Networks_A_Focus_on_Energy_and_Cost_Efficiency/25239541CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252395412023-10-17T09:00:00Z |
| spellingShingle | Advancing Data Center Networks: A Focus on Energy and Cost Efficiency Zina Chkirbene (16869987) Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Switches Topology Network topology Servers Data centers Costs Scalability Energy consumption flexible connection infrastructure cost |
| status_str | publishedVersion |
| title | Advancing Data Center Networks: A Focus on Energy and Cost Efficiency |
| title_full | Advancing Data Center Networks: A Focus on Energy and Cost Efficiency |
| title_fullStr | Advancing Data Center Networks: A Focus on Energy and Cost Efficiency |
| title_full_unstemmed | Advancing Data Center Networks: A Focus on Energy and Cost Efficiency |
| title_short | Advancing Data Center Networks: A Focus on Energy and Cost Efficiency |
| title_sort | Advancing Data Center Networks: A Focus on Energy and Cost Efficiency |
| topic | Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Switches Topology Network topology Servers Data centers Costs Scalability Energy consumption flexible connection infrastructure cost |