Lightweight Robust Framework for Workload Scheduling in Clouds Article Swipe
Muhammed Abdulazeez
,
Paweł Garncarek
,
Dariusz R. Kowalski
,
Prudence W. H. Wong
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/ieee.edge.2017.36
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/ieee.edge.2017.36
Reliability, security and stability of cloud services without sacrificing too much resources have become a desired feature in the area of workload management in clouds. The paper proposes and evaluates a lightweight framework for scheduling a workload which part could be unreliable. This unreliability could be caused by various types of failures or attacks. Our framework for robust workload scheduling efficiently combines classic fault-tolerant and security tools, such as packet/job scanning, with workload scheduling, and it does not use any heavy resource-consuming tools, e.g., cryptography or non-linear optimization. More specifically, the framework uses a novel objective function to allocate jobs to servers and constantly decides which job to scan based on a formula associated with the objective function. We show how to set up the objective function and the corresponding scanning procedure to make the system provably stable, provided it satisfies a specific stability condition. As a result, we show that our framework assures cloud stability even if naive scanning-all and scanning-none strategies are not stable. We extend the framework to decentralized scheduling and evaluate it under several popular routing procedures.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1109/ieee.edge.2017.36
- OA Status
- green
- References
- 14
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2613785196
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2613785196Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/ieee.edge.2017.36Digital Object Identifier
- Title
-
Lightweight Robust Framework for Workload Scheduling in CloudsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-06-01Full publication date if available
- Authors
-
Muhammed Abdulazeez, Paweł Garncarek, Dariusz R. Kowalski, Prudence W. H. WongList of authors in order
- Landing page
-
https://doi.org/10.1109/ieee.edge.2017.36Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/1705.02671Direct OA link when available
- Concepts
-
Workload, Computer science, Distributed computing, Cloud computing, Scheduling (production processes), Server, Computer network, Mathematical optimization, Operating system, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
14Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2613785196 |
|---|---|
| doi | https://doi.org/10.1109/ieee.edge.2017.36 |
| ids.doi | https://doi.org/10.48550/arxiv.1705.02671 |
| ids.mag | 2613785196 |
| ids.openalex | https://openalex.org/W2613785196 |
| fwci | 0.0 |
| type | preprint |
| title | Lightweight Robust Framework for Workload Scheduling in Clouds |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 209 |
| biblio.first_page | 206 |
| topics[0].id | https://openalex.org/T10101 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1710 |
| topics[0].subfield.display_name | Information Systems |
| topics[0].display_name | Cloud Computing and Resource Management |
| topics[1].id | https://openalex.org/T10273 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9979000091552734 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1705 |
| topics[1].subfield.display_name | Computer Networks and Communications |
| topics[1].display_name | IoT and Edge/Fog Computing |
| topics[2].id | https://openalex.org/T10715 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9969000220298767 |
| 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 and Parallel Computing Systems |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2778476105 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7808396816253662 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q628539 |
| concepts[0].display_name | Workload |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7645905017852783 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C120314980 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6565677523612976 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q180634 |
| concepts[2].display_name | Distributed computing |
| concepts[3].id | https://openalex.org/C79974875 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6238948106765747 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q483639 |
| concepts[3].display_name | Cloud computing |
| concepts[4].id | https://openalex.org/C206729178 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5850557684898376 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2271896 |
| concepts[4].display_name | Scheduling (production processes) |
| concepts[5].id | https://openalex.org/C93996380 |
| concepts[5].level | 2 |
| concepts[5].score | 0.48288440704345703 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q44127 |
| concepts[5].display_name | Server |
| concepts[6].id | https://openalex.org/C31258907 |
| concepts[6].level | 1 |
| concepts[6].score | 0.22084105014801025 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[6].display_name | Computer network |
| concepts[7].id | https://openalex.org/C126255220 |
| concepts[7].level | 1 |
| concepts[7].score | 0.17813748121261597 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[7].display_name | Mathematical optimization |
| concepts[8].id | https://openalex.org/C111919701 |
| concepts[8].level | 1 |
| concepts[8].score | 0.16672798991203308 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[8].display_name | Operating system |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| keywords[0].id | https://openalex.org/keywords/workload |
| keywords[0].score | 0.7808396816253662 |
| keywords[0].display_name | Workload |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7645905017852783 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/distributed-computing |
| keywords[2].score | 0.6565677523612976 |
| keywords[2].display_name | Distributed computing |
| keywords[3].id | https://openalex.org/keywords/cloud-computing |
| keywords[3].score | 0.6238948106765747 |
| keywords[3].display_name | Cloud computing |
| keywords[4].id | https://openalex.org/keywords/scheduling |
| keywords[4].score | 0.5850557684898376 |
| keywords[4].display_name | Scheduling (production processes) |
| keywords[5].id | https://openalex.org/keywords/server |
| keywords[5].score | 0.48288440704345703 |
| keywords[5].display_name | Server |
| keywords[6].id | https://openalex.org/keywords/computer-network |
| keywords[6].score | 0.22084105014801025 |
| keywords[6].display_name | Computer network |
| keywords[7].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[7].score | 0.17813748121261597 |
| keywords[7].display_name | Mathematical optimization |
| keywords[8].id | https://openalex.org/keywords/operating-system |
| keywords[8].score | 0.16672798991203308 |
| keywords[8].display_name | Operating system |
| language | en |
| locations[0].id | doi:10.1109/ieee.edge.2017.36 |
| locations[0].is_oa | False |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | 2017 IEEE International Conference on Edge Computing (EDGE) |
| locations[0].landing_page_url | https://doi.org/10.1109/ieee.edge.2017.36 |
| locations[1].id | pmh:oai:arXiv.org:1705.02671 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | https://arxiv.org/pdf/1705.02671 |
| locations[1].version | submittedVersion |
| locations[1].raw_type | text |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://arxiv.org/abs/1705.02671 |
| locations[2].id | mag:2613785196 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400194 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | True |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | arXiv (Cornell University) |
| locations[2].source.host_organization | https://openalex.org/I205783295 |
| locations[2].source.host_organization_name | Cornell University |
| locations[2].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | arXiv (Cornell University) |
| locations[2].landing_page_url | http://arxiv.org/pdf/1705.02671.pdf |
| locations[3].id | doi:10.48550/arxiv.1705.02671 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306400194 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | True |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | arXiv (Cornell University) |
| locations[3].source.host_organization | https://openalex.org/I205783295 |
| locations[3].source.host_organization_name | Cornell University |
| locations[3].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://doi.org/10.48550/arxiv.1705.02671 |
| indexed_in | arxiv, crossref, datacite |
| authorships[0].author.id | https://openalex.org/A5046900796 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Muhammed Abdulazeez |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I146655781 |
| authorships[0].affiliations[0].raw_affiliation_string | university of liverpool |
| authorships[0].institutions[0].id | https://openalex.org/I146655781 |
| authorships[0].institutions[0].ror | https://ror.org/04xs57h96 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I146655781 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | University of Liverpool |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Muhammed Abdulazeez |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | university of liverpool |
| authorships[1].author.id | https://openalex.org/A5003438116 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6855-0530 |
| authorships[1].author.display_name | Paweł Garncarek |
| authorships[1].countries | PL |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I219388962 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Wroclaw, |
| authorships[1].institutions[0].id | https://openalex.org/I219388962 |
| authorships[1].institutions[0].ror | https://ror.org/00yae6e25 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I219388962 |
| authorships[1].institutions[0].country_code | PL |
| authorships[1].institutions[0].display_name | University of Wrocław |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Pawel Garncarek |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of Wroclaw, |
| authorships[2].author.id | https://openalex.org/A5101948468 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1316-7788 |
| authorships[2].author.display_name | Dariusz R. Kowalski |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I146655781 |
| authorships[2].affiliations[0].raw_affiliation_string | university of liverpool |
| authorships[2].institutions[0].id | https://openalex.org/I146655781 |
| authorships[2].institutions[0].ror | https://ror.org/04xs57h96 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I146655781 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | University of Liverpool |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Dariusz R. Kowalski |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | university of liverpool |
| authorships[3].author.id | https://openalex.org/A5063692696 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-7935-7245 |
| authorships[3].author.display_name | Prudence W. H. Wong |
| authorships[3].countries | GB |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I146655781 |
| authorships[3].affiliations[0].raw_affiliation_string | university of liverpool |
| authorships[3].institutions[0].id | https://openalex.org/I146655781 |
| authorships[3].institutions[0].ror | https://ror.org/04xs57h96 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I146655781 |
| authorships[3].institutions[0].country_code | GB |
| authorships[3].institutions[0].display_name | University of Liverpool |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Prudence W. H. Wong |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | university of liverpool |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/1705.02671 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Lightweight Robust Framework for Workload Scheduling in Clouds |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10101 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1710 |
| primary_topic.subfield.display_name | Information Systems |
| primary_topic.display_name | Cloud Computing and Resource Management |
| related_works | https://openalex.org/W2963999362, https://openalex.org/W2754495661, https://openalex.org/W3198388349, https://openalex.org/W3159358052, https://openalex.org/W51432122, https://openalex.org/W2769044250, https://openalex.org/W2052706372, https://openalex.org/W2791058402, https://openalex.org/W2131543826, https://openalex.org/W2806028048, https://openalex.org/W2110273570, https://openalex.org/W2100857619, https://openalex.org/W2910498185, https://openalex.org/W2770638111, https://openalex.org/W2803633747, https://openalex.org/W3192508292, https://openalex.org/W2164569036, https://openalex.org/W2604756476, https://openalex.org/W2399825113, https://openalex.org/W3157500750 |
| cited_by_count | 0 |
| locations_count | 4 |
| best_oa_location.id | pmh:oai:arXiv.org:1705.02671 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| 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 | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/1705.02671 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/1705.02671 |
| primary_location.id | doi:10.1109/ieee.edge.2017.36 |
| 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 | 2017 IEEE International Conference on Edge Computing (EDGE) |
| primary_location.landing_page_url | https://doi.org/10.1109/ieee.edge.2017.36 |
| publication_date | 2017-06-01 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W1489073918, https://openalex.org/W2022575296, https://openalex.org/W1968395113, https://openalex.org/W1973238289, https://openalex.org/W2105177639, https://openalex.org/W2110458625, https://openalex.org/W2109026747, https://openalex.org/W2146874425, https://openalex.org/W2275530856, https://openalex.org/W2128005148, https://openalex.org/W1982860322, https://openalex.org/W2131629857, https://openalex.org/W2235332950, https://openalex.org/W2065042218 |
| referenced_works_count | 14 |
| abstract_inverted_index.a | 14, 30, 35, 93, 111, 141, 146 |
| abstract_inverted_index.As | 145 |
| abstract_inverted_index.We | 118, 166 |
| abstract_inverted_index.as | 68 |
| abstract_inverted_index.be | 40, 45 |
| abstract_inverted_index.by | 47 |
| abstract_inverted_index.if | 157 |
| abstract_inverted_index.in | 17, 23 |
| abstract_inverted_index.it | 75, 139, 175 |
| abstract_inverted_index.of | 4, 20, 50 |
| abstract_inverted_index.on | 110 |
| abstract_inverted_index.or | 52, 85 |
| abstract_inverted_index.to | 97, 100, 107, 121, 132, 170 |
| abstract_inverted_index.up | 123 |
| abstract_inverted_index.we | 148 |
| abstract_inverted_index.Our | 54 |
| abstract_inverted_index.The | 25 |
| abstract_inverted_index.and | 2, 28, 64, 74, 102, 127, 160, 173 |
| abstract_inverted_index.any | 79 |
| abstract_inverted_index.are | 163 |
| abstract_inverted_index.for | 33, 56 |
| abstract_inverted_index.how | 120 |
| abstract_inverted_index.job | 106 |
| abstract_inverted_index.not | 77, 164 |
| abstract_inverted_index.our | 151 |
| abstract_inverted_index.set | 122 |
| abstract_inverted_index.the | 18, 90, 115, 124, 128, 134, 168 |
| abstract_inverted_index.too | 9 |
| abstract_inverted_index.use | 78 |
| abstract_inverted_index.More | 88 |
| abstract_inverted_index.This | 42 |
| abstract_inverted_index.area | 19 |
| abstract_inverted_index.does | 76 |
| abstract_inverted_index.even | 156 |
| abstract_inverted_index.have | 12 |
| abstract_inverted_index.jobs | 99 |
| abstract_inverted_index.make | 133 |
| abstract_inverted_index.much | 10 |
| abstract_inverted_index.part | 38 |
| abstract_inverted_index.scan | 108 |
| abstract_inverted_index.show | 119, 149 |
| abstract_inverted_index.such | 67 |
| abstract_inverted_index.that | 150 |
| abstract_inverted_index.uses | 92 |
| abstract_inverted_index.with | 71, 114 |
| abstract_inverted_index.based | 109 |
| abstract_inverted_index.cloud | 5, 154 |
| abstract_inverted_index.could | 39, 44 |
| abstract_inverted_index.e.g., | 83 |
| abstract_inverted_index.heavy | 80 |
| abstract_inverted_index.naive | 158 |
| abstract_inverted_index.novel | 94 |
| abstract_inverted_index.paper | 26 |
| abstract_inverted_index.types | 49 |
| abstract_inverted_index.under | 176 |
| abstract_inverted_index.which | 37, 105 |
| abstract_inverted_index.become | 13 |
| abstract_inverted_index.caused | 46 |
| abstract_inverted_index.extend | 167 |
| abstract_inverted_index.robust | 57 |
| abstract_inverted_index.system | 135 |
| abstract_inverted_index.tools, | 66, 82 |
| abstract_inverted_index.assures | 153 |
| abstract_inverted_index.classic | 62 |
| abstract_inverted_index.clouds. | 24 |
| abstract_inverted_index.decides | 104 |
| abstract_inverted_index.desired | 15 |
| abstract_inverted_index.feature | 16 |
| abstract_inverted_index.formula | 112 |
| abstract_inverted_index.popular | 178 |
| abstract_inverted_index.result, | 147 |
| abstract_inverted_index.routing | 179 |
| abstract_inverted_index.servers | 101 |
| abstract_inverted_index.several | 177 |
| abstract_inverted_index.stable, | 137 |
| abstract_inverted_index.stable. | 165 |
| abstract_inverted_index.various | 48 |
| abstract_inverted_index.without | 7 |
| abstract_inverted_index.allocate | 98 |
| abstract_inverted_index.attacks. | 53 |
| abstract_inverted_index.combines | 61 |
| abstract_inverted_index.evaluate | 174 |
| abstract_inverted_index.failures | 51 |
| abstract_inverted_index.function | 96, 126 |
| abstract_inverted_index.proposes | 27 |
| abstract_inverted_index.provably | 136 |
| abstract_inverted_index.provided | 138 |
| abstract_inverted_index.scanning | 130 |
| abstract_inverted_index.security | 1, 65 |
| abstract_inverted_index.services | 6 |
| abstract_inverted_index.specific | 142 |
| abstract_inverted_index.workload | 21, 36, 58, 72 |
| abstract_inverted_index.evaluates | 29 |
| abstract_inverted_index.framework | 32, 55, 91, 152, 169 |
| abstract_inverted_index.function. | 117 |
| abstract_inverted_index.objective | 95, 116, 125 |
| abstract_inverted_index.procedure | 131 |
| abstract_inverted_index.resources | 11 |
| abstract_inverted_index.satisfies | 140 |
| abstract_inverted_index.scanning, | 70 |
| abstract_inverted_index.stability | 3, 143, 155 |
| abstract_inverted_index.associated | 113 |
| abstract_inverted_index.condition. | 144 |
| abstract_inverted_index.constantly | 103 |
| abstract_inverted_index.management | 22 |
| abstract_inverted_index.non-linear | 86 |
| abstract_inverted_index.packet/job | 69 |
| abstract_inverted_index.scheduling | 34, 59, 172 |
| abstract_inverted_index.strategies | 162 |
| abstract_inverted_index.efficiently | 60 |
| abstract_inverted_index.lightweight | 31 |
| abstract_inverted_index.procedures. | 180 |
| abstract_inverted_index.sacrificing | 8 |
| abstract_inverted_index.scheduling, | 73 |
| abstract_inverted_index.unreliable. | 41 |
| abstract_inverted_index.Reliability, | 0 |
| abstract_inverted_index.cryptography | 84 |
| abstract_inverted_index.scanning-all | 159 |
| abstract_inverted_index.corresponding | 129 |
| abstract_inverted_index.decentralized | 171 |
| abstract_inverted_index.optimization. | 87 |
| abstract_inverted_index.scanning-none | 161 |
| abstract_inverted_index.specifically, | 89 |
| abstract_inverted_index.unreliability | 43 |
| abstract_inverted_index.fault-tolerant | 63 |
| abstract_inverted_index.resource-consuming | 81 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.6100000143051147 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.05989068 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |