A Scalable, Distributed Monitoring Framework for HPC Clusters Using Redfish-Nagios Integration Article Swipe
Ghanzanfar Ali
,
Jon Hass
,
A. Sill
,
Elham Hojati
,
Tommy Dang
,
Yong Chen
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2749012/v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2749012/v1
Current monitoring tools for high-performance computing (HPC) systems are often inefficient in terms of scalability and interfacing with modern data center management APIs. This inefficiency leads to a lack of effective management of the infrastructure of modern data centers. Nagios is one of the widely used industry-standard tools for data center infrastructure monitoring, which mainly includes monitoring of nodes and associated hardware and software components. However, current Nagios monitoring has special requirements that introduce several limitations. First, significant human effort is needed for the configuration of monitored nodes in the Nagios server. Second, the Nagios Remote Plugin Executor and the Nagios Service Check Acceptor are required on the Nagios server and each monitored node for active and passive monitoring, respectively. Third, Nagios monitoring also requires monitoring-specific agents on each monitored node. These shortcomings are inherently due to Nagios’ in-band implementation nature. To overcome these limitations, we introduced Redfish-Nagios, a scalable out-of-band monitoring tool for modern HPC systems. It integrates the Nagios server with the out-of-band Distributed Management Task Force’s Redfish telemetry model, which is implemented in the baseboard management controller of the nodes. This integration eliminates the requirements of any agent, plugin, hardware component, or configuration on the monitored nodes. It is potentially a paradigm shift in Nagios-based monitoring for two reasons. First, it simplifies communication between the Nagios server and monitored nodes. Second, it saves computational costs by removing the requirements of running complex Nagios-native protocols and agents on the monitored nodes. The Redfish-Nagios integration methodology enables the monitoring of next-generation HPC systems using the scalable and modern Redfish telemetry model and interface.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-2749012/v1
- https://www.researchsquare.com/article/rs-2749012/latest.pdf
- OA Status
- green
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4365142792
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4365142792Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-2749012/v1Digital Object Identifier
- Title
-
A Scalable, Distributed Monitoring Framework for HPC Clusters Using Redfish-Nagios IntegrationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-12Full publication date if available
- Authors
-
Ghanzanfar Ali, Jon Hass, A. Sill, Elham Hojati, Tommy Dang, Yong ChenList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-2749012/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-2749012/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-2749012/latest.pdfDirect OA link when available
- Concepts
-
Computer science, Scalability, Operating system, Node (physics), Plug-in, Supercomputer, Distributed computing, Computer network, Engineering, Structural engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4365142792 |
|---|---|
| doi | https://doi.org/10.21203/rs.3.rs-2749012/v1 |
| ids.doi | https://doi.org/10.21203/rs.3.rs-2749012/v1 |
| ids.openalex | https://openalex.org/W4365142792 |
| fwci | 0.0 |
| type | preprint |
| title | A Scalable, Distributed Monitoring Framework for HPC Clusters Using Redfish-Nagios Integration |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10715 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9993000030517578 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1705 |
| topics[0].subfield.display_name | Computer Networks and Communications |
| topics[0].display_name | Distributed and Parallel Computing Systems |
| topics[1].id | https://openalex.org/T10101 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9966999888420105 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1710 |
| topics[1].subfield.display_name | Information Systems |
| topics[1].display_name | Cloud Computing and Resource Management |
| topics[2].id | https://openalex.org/T10772 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9908000230789185 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1705 |
| topics[2].subfield.display_name | Computer Networks and Communications |
| topics[2].display_name | Distributed systems and fault tolerance |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7789110541343689 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C48044578 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7556968927383423 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q727490 |
| concepts[1].display_name | Scalability |
| concepts[2].id | https://openalex.org/C111919701 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6873509287834167 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[2].display_name | Operating system |
| concepts[3].id | https://openalex.org/C62611344 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6069260239601135 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1062658 |
| concepts[3].display_name | Node (physics) |
| concepts[4].id | https://openalex.org/C4924752 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5170593857765198 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q184148 |
| concepts[4].display_name | Plug-in |
| concepts[5].id | https://openalex.org/C83283714 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4219478964805603 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q121117 |
| concepts[5].display_name | Supercomputer |
| concepts[6].id | https://openalex.org/C120314980 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3307120203971863 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q180634 |
| concepts[6].display_name | Distributed computing |
| concepts[7].id | https://openalex.org/C31258907 |
| concepts[7].level | 1 |
| concepts[7].score | 0.32011646032333374 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[7].display_name | Computer network |
| concepts[8].id | https://openalex.org/C127413603 |
| concepts[8].level | 0 |
| concepts[8].score | 0.08044028282165527 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[8].display_name | Engineering |
| concepts[9].id | https://openalex.org/C66938386 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q633538 |
| concepts[9].display_name | Structural engineering |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7789110541343689 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/scalability |
| keywords[1].score | 0.7556968927383423 |
| keywords[1].display_name | Scalability |
| keywords[2].id | https://openalex.org/keywords/operating-system |
| keywords[2].score | 0.6873509287834167 |
| keywords[2].display_name | Operating system |
| keywords[3].id | https://openalex.org/keywords/node |
| keywords[3].score | 0.6069260239601135 |
| keywords[3].display_name | Node (physics) |
| keywords[4].id | https://openalex.org/keywords/plug-in |
| keywords[4].score | 0.5170593857765198 |
| keywords[4].display_name | Plug-in |
| keywords[5].id | https://openalex.org/keywords/supercomputer |
| keywords[5].score | 0.4219478964805603 |
| keywords[5].display_name | Supercomputer |
| keywords[6].id | https://openalex.org/keywords/distributed-computing |
| keywords[6].score | 0.3307120203971863 |
| keywords[6].display_name | Distributed computing |
| keywords[7].id | https://openalex.org/keywords/computer-network |
| keywords[7].score | 0.32011646032333374 |
| keywords[7].display_name | Computer network |
| keywords[8].id | https://openalex.org/keywords/engineering |
| keywords[8].score | 0.08044028282165527 |
| keywords[8].display_name | Engineering |
| language | en |
| locations[0].id | doi:10.21203/rs.3.rs-2749012/v1 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402450 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Research Square (Research Square) |
| locations[0].source.host_organization | https://openalex.org/I4210096694 |
| locations[0].source.host_organization_name | Research Square (United States) |
| locations[0].source.host_organization_lineage | https://openalex.org/I4210096694 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.researchsquare.com/article/rs-2749012/latest.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.21203/rs.3.rs-2749012/v1 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5075479250 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Ghanzanfar Ali |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I12315562 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[0].institutions[0].id | https://openalex.org/I12315562 |
| authorships[0].institutions[0].ror | https://ror.org/0405mnx93 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I12315562 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Texas Tech University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ghanzanfar Ali |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[1].author.id | https://openalex.org/A5028792770 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Jon Hass |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210149435 |
| authorships[1].affiliations[0].raw_affiliation_string | DELL (United States) |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I4210149435 |
| authorships[1].affiliations[1].raw_affiliation_string | CTO Office, Dell Technologies, 600 Congress Ave, Austin, 78701, Texas, USA. |
| authorships[1].institutions[0].id | https://openalex.org/I4210149435 |
| authorships[1].institutions[0].ror | https://ror.org/05rejmm18 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210149435 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | DELL (United States) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jon Hass |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | CTO Office, Dell Technologies, 600 Congress Ave, Austin, 78701, Texas, USA., DELL (United States) |
| authorships[2].author.id | https://openalex.org/A5073805319 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-2527-764X |
| authorships[2].author.display_name | A. Sill |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I12315562 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[2].institutions[0].id | https://openalex.org/I12315562 |
| authorships[2].institutions[0].ror | https://ror.org/0405mnx93 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I12315562 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Texas Tech University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Alan Sill |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[3].author.id | https://openalex.org/A5016531109 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-4743-9072 |
| authorships[3].author.display_name | Elham Hojati |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I12315562 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[3].institutions[0].id | https://openalex.org/I12315562 |
| authorships[3].institutions[0].ror | https://ror.org/0405mnx93 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I12315562 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Texas Tech University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Elham Hojati |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[4].author.id | https://openalex.org/A5032280607 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-8322-0014 |
| authorships[4].author.display_name | Tommy Dang |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I12315562 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[4].institutions[0].id | https://openalex.org/I12315562 |
| authorships[4].institutions[0].ror | https://ror.org/0405mnx93 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I12315562 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Texas Tech University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Tommy Dang |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[5].author.id | https://openalex.org/A5077521546 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-9961-9051 |
| authorships[5].author.display_name | Yong Chen |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I12315562 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| authorships[5].institutions[0].id | https://openalex.org/I12315562 |
| authorships[5].institutions[0].ror | https://ror.org/0405mnx93 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I12315562 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Texas Tech University |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Yong Chen |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Computer Science, Texas Tech University, 2500 Broadway, Lubbock, 79409, Texas, USA. |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.researchsquare.com/article/rs-2749012/latest.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Scalable, Distributed Monitoring Framework for HPC Clusters Using Redfish-Nagios Integration |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10715 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9993000030517578 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1705 |
| primary_topic.subfield.display_name | Computer Networks and Communications |
| primary_topic.display_name | Distributed and Parallel Computing Systems |
| related_works | https://openalex.org/W4287378204, https://openalex.org/W2384867379, https://openalex.org/W2545422590, https://openalex.org/W4240705470, https://openalex.org/W2945311252, https://openalex.org/W2981957539, https://openalex.org/W3214280620, https://openalex.org/W4295210903, https://openalex.org/W2329539859, https://openalex.org/W3191490922 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.21203/rs.3.rs-2749012/v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402450 |
| 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 | Research Square (Research Square) |
| best_oa_location.source.host_organization | https://openalex.org/I4210096694 |
| best_oa_location.source.host_organization_name | Research Square (United States) |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I4210096694 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.researchsquare.com/article/rs-2749012/latest.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.21203/rs.3.rs-2749012/v1 |
| primary_location.id | doi:10.21203/rs.3.rs-2749012/v1 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402450 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Research Square (Research Square) |
| primary_location.source.host_organization | https://openalex.org/I4210096694 |
| primary_location.source.host_organization_name | Research Square (United States) |
| primary_location.source.host_organization_lineage | https://openalex.org/I4210096694 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.researchsquare.com/article/rs-2749012/latest.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.21203/rs.3.rs-2749012/v1 |
| publication_date | 2023-04-12 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2562895916, https://openalex.org/W6767902837, https://openalex.org/W4283332153, https://openalex.org/W2114053868, https://openalex.org/W1986954288, https://openalex.org/W6635793591, https://openalex.org/W2499468749, https://openalex.org/W2143158360, https://openalex.org/W2141322728, https://openalex.org/W2341739107, https://openalex.org/W2734936443, https://openalex.org/W3151040635, https://openalex.org/W2792868793, https://openalex.org/W3165758957, https://openalex.org/W2775701477, https://openalex.org/W4285815037, https://openalex.org/W3097239682, https://openalex.org/W1596936080, https://openalex.org/W2063077174, https://openalex.org/W3117051217, https://openalex.org/W2971563636, https://openalex.org/W3110374230, https://openalex.org/W3199747515, https://openalex.org/W2775076031, https://openalex.org/W1961751213 |
| referenced_works_count | 25 |
| abstract_inverted_index.a | 28, 149, 204 |
| abstract_inverted_index.It | 158, 201 |
| abstract_inverted_index.To | 142 |
| abstract_inverted_index.by | 229 |
| abstract_inverted_index.in | 12, 89, 176, 207 |
| abstract_inverted_index.is | 41, 81, 174, 202 |
| abstract_inverted_index.it | 214, 225 |
| abstract_inverted_index.of | 14, 30, 33, 36, 43, 58, 86, 181, 189, 233, 251 |
| abstract_inverted_index.on | 107, 128, 197, 240 |
| abstract_inverted_index.or | 195 |
| abstract_inverted_index.to | 27, 137 |
| abstract_inverted_index.we | 146 |
| abstract_inverted_index.HPC | 156, 253 |
| abstract_inverted_index.The | 244 |
| abstract_inverted_index.and | 16, 60, 63, 99, 111, 117, 221, 238, 258, 263 |
| abstract_inverted_index.any | 190 |
| abstract_inverted_index.are | 9, 105, 134 |
| abstract_inverted_index.due | 136 |
| abstract_inverted_index.for | 4, 49, 83, 115, 154, 210 |
| abstract_inverted_index.has | 70 |
| abstract_inverted_index.one | 42 |
| abstract_inverted_index.the | 34, 44, 84, 90, 94, 100, 108, 160, 164, 177, 182, 187, 198, 218, 231, 241, 249, 256 |
| abstract_inverted_index.two | 211 |
| abstract_inverted_index.Task | 168 |
| abstract_inverted_index.This | 24, 184 |
| abstract_inverted_index.also | 124 |
| abstract_inverted_index.data | 20, 38, 50 |
| abstract_inverted_index.each | 112, 129 |
| abstract_inverted_index.lack | 29 |
| abstract_inverted_index.node | 114 |
| abstract_inverted_index.that | 73 |
| abstract_inverted_index.tool | 153 |
| abstract_inverted_index.used | 46 |
| abstract_inverted_index.with | 18, 163 |
| abstract_inverted_index.(HPC) | 7 |
| abstract_inverted_index.APIs. | 23 |
| abstract_inverted_index.Check | 103 |
| abstract_inverted_index.These | 132 |
| abstract_inverted_index.costs | 228 |
| abstract_inverted_index.human | 79 |
| abstract_inverted_index.leads | 26 |
| abstract_inverted_index.model | 262 |
| abstract_inverted_index.node. | 131 |
| abstract_inverted_index.nodes | 59, 88 |
| abstract_inverted_index.often | 10 |
| abstract_inverted_index.saves | 226 |
| abstract_inverted_index.shift | 206 |
| abstract_inverted_index.terms | 13 |
| abstract_inverted_index.these | 144 |
| abstract_inverted_index.tools | 3, 48 |
| abstract_inverted_index.using | 255 |
| abstract_inverted_index.which | 54, 173 |
| abstract_inverted_index.First, | 77, 213 |
| abstract_inverted_index.Nagios | 40, 68, 91, 95, 101, 109, 122, 161, 219 |
| abstract_inverted_index.Plugin | 97 |
| abstract_inverted_index.Remote | 96 |
| abstract_inverted_index.Third, | 121 |
| abstract_inverted_index.active | 116 |
| abstract_inverted_index.agent, | 191 |
| abstract_inverted_index.agents | 127, 239 |
| abstract_inverted_index.center | 21, 51 |
| abstract_inverted_index.effort | 80 |
| abstract_inverted_index.mainly | 55 |
| abstract_inverted_index.model, | 172 |
| abstract_inverted_index.modern | 19, 37, 155, 259 |
| abstract_inverted_index.needed | 82 |
| abstract_inverted_index.nodes. | 183, 200, 223, 243 |
| abstract_inverted_index.server | 110, 162, 220 |
| abstract_inverted_index.widely | 45 |
| abstract_inverted_index.Current | 1 |
| abstract_inverted_index.Redfish | 170, 260 |
| abstract_inverted_index.Second, | 93, 224 |
| abstract_inverted_index.Service | 102 |
| abstract_inverted_index.between | 217 |
| abstract_inverted_index.complex | 235 |
| abstract_inverted_index.current | 67 |
| abstract_inverted_index.enables | 248 |
| abstract_inverted_index.in-band | 139 |
| abstract_inverted_index.nature. | 141 |
| abstract_inverted_index.passive | 118 |
| abstract_inverted_index.plugin, | 192 |
| abstract_inverted_index.running | 234 |
| abstract_inverted_index.server. | 92 |
| abstract_inverted_index.several | 75 |
| abstract_inverted_index.special | 71 |
| abstract_inverted_index.systems | 8, 254 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Acceptor | 104 |
| abstract_inverted_index.Executor | 98 |
| abstract_inverted_index.However, | 66 |
| abstract_inverted_index.centers. | 39 |
| abstract_inverted_index.hardware | 62, 193 |
| abstract_inverted_index.includes | 56 |
| abstract_inverted_index.overcome | 143 |
| abstract_inverted_index.paradigm | 205 |
| abstract_inverted_index.reasons. | 212 |
| abstract_inverted_index.removing | 230 |
| abstract_inverted_index.required | 106 |
| abstract_inverted_index.requires | 125 |
| abstract_inverted_index.scalable | 150, 257 |
| abstract_inverted_index.software | 64 |
| abstract_inverted_index.systems. | 157 |
| abstract_inverted_index.Force’s | 169 |
| abstract_inverted_index.Nagios’ | 138 |
| abstract_inverted_index.baseboard | 178 |
| abstract_inverted_index.computing | 6 |
| abstract_inverted_index.effective | 31 |
| abstract_inverted_index.introduce | 74 |
| abstract_inverted_index.monitored | 87, 113, 130, 199, 222, 242 |
| abstract_inverted_index.protocols | 237 |
| abstract_inverted_index.telemetry | 171, 261 |
| abstract_inverted_index.Management | 167 |
| abstract_inverted_index.associated | 61 |
| abstract_inverted_index.component, | 194 |
| abstract_inverted_index.controller | 180 |
| abstract_inverted_index.eliminates | 186 |
| abstract_inverted_index.inherently | 135 |
| abstract_inverted_index.integrates | 159 |
| abstract_inverted_index.interface. | 264 |
| abstract_inverted_index.introduced | 147 |
| abstract_inverted_index.management | 22, 32, 179 |
| abstract_inverted_index.monitoring | 2, 57, 69, 123, 152, 209, 250 |
| abstract_inverted_index.simplifies | 215 |
| abstract_inverted_index.Distributed | 166 |
| abstract_inverted_index.components. | 65 |
| abstract_inverted_index.implemented | 175 |
| abstract_inverted_index.inefficient | 11 |
| abstract_inverted_index.integration | 185, 246 |
| abstract_inverted_index.interfacing | 17 |
| abstract_inverted_index.methodology | 247 |
| abstract_inverted_index.monitoring, | 53, 119 |
| abstract_inverted_index.out-of-band | 151, 165 |
| abstract_inverted_index.potentially | 203 |
| abstract_inverted_index.scalability | 15 |
| abstract_inverted_index.significant | 78 |
| abstract_inverted_index.Nagios-based | 208 |
| abstract_inverted_index.inefficiency | 25 |
| abstract_inverted_index.limitations, | 145 |
| abstract_inverted_index.limitations. | 76 |
| abstract_inverted_index.requirements | 72, 188, 232 |
| abstract_inverted_index.shortcomings | 133 |
| abstract_inverted_index.Nagios-native | 236 |
| abstract_inverted_index.communication | 216 |
| abstract_inverted_index.computational | 227 |
| abstract_inverted_index.configuration | 85, 196 |
| abstract_inverted_index.respectively. | 120 |
| abstract_inverted_index.Redfish-Nagios | 245 |
| abstract_inverted_index.implementation | 140 |
| abstract_inverted_index.infrastructure | 35, 52 |
| abstract_inverted_index.Redfish-Nagios, | 148 |
| abstract_inverted_index.next-generation | 252 |
| abstract_inverted_index.high-performance | 5 |
| abstract_inverted_index.industry-standard | 47 |
| abstract_inverted_index.monitoring-specific | 126 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.04394402 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |