Optimizing Resource Scheduling in Computing Power Networks for Low-Consumption Big Data Analytics Article Swipe
Yingchao Cheng
,
Zhifeng Hao
,
Joshua Zhexue Huang
,
Zhanchuan Cai
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.26599/tst.2025.9010018
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.26599/tst.2025.9010018
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.26599/tst.2025.9010018
- https://file.sciopen.com/sciopen_public/1962372581488590849.pdf
- OA Status
- diamond
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413895626
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4413895626Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.26599/tst.2025.9010018Digital Object Identifier
- Title
-
Optimizing Resource Scheduling in Computing Power Networks for Low-Consumption Big Data AnalyticsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-09-01Full publication date if available
- Authors
-
Yingchao Cheng, Zhifeng Hao, Joshua Zhexue Huang, Zhanchuan CaiList of authors in order
- Landing page
-
https://doi.org/10.26599/tst.2025.9010018Publisher landing page
- PDF URL
-
https://file.sciopen.com/sciopen_public/1962372581488590849.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://file.sciopen.com/sciopen_public/1962372581488590849.pdfDirect OA link when available
- Concepts
-
Computer science, Big data, Power consumption, Scheduling (production processes), Analytics, Resource consumption, Distributed computing, Power (physics), Data science, Data mining, Engineering, Operations management, Ecology, Physics, Biology, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4413895626 |
|---|---|
| doi | https://doi.org/10.26599/tst.2025.9010018 |
| ids.doi | https://doi.org/10.26599/tst.2025.9010018 |
| ids.openalex | https://openalex.org/W4413895626 |
| fwci | 0.0 |
| type | article |
| title | Optimizing Resource Scheduling in Computing Power Networks for Low-Consumption Big Data Analytics |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| 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 | 0.9034000039100647 |
| 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 |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7151097059249878 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C75684735 |
| concepts[1].level | 2 |
| concepts[1].score | 0.682587742805481 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q858810 |
| concepts[1].display_name | Big data |
| concepts[2].id | https://openalex.org/C2984118289 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6583366394042969 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q29954 |
| concepts[2].display_name | Power consumption |
| concepts[3].id | https://openalex.org/C206729178 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5384402871131897 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2271896 |
| concepts[3].display_name | Scheduling (production processes) |
| concepts[4].id | https://openalex.org/C79158427 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5306127667427063 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q485396 |
| concepts[4].display_name | Analytics |
| concepts[5].id | https://openalex.org/C2777480716 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4576704502105713 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q23582796 |
| concepts[5].display_name | Resource consumption |
| concepts[6].id | https://openalex.org/C120314980 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3799457550048828 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q180634 |
| concepts[6].display_name | Distributed computing |
| concepts[7].id | https://openalex.org/C163258240 |
| concepts[7].level | 2 |
| concepts[7].score | 0.2760283648967743 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q25342 |
| concepts[7].display_name | Power (physics) |
| concepts[8].id | https://openalex.org/C2522767166 |
| concepts[8].level | 1 |
| concepts[8].score | 0.25309351086616516 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[8].display_name | Data science |
| concepts[9].id | https://openalex.org/C124101348 |
| concepts[9].level | 1 |
| concepts[9].score | 0.1386878788471222 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[9].display_name | Data mining |
| concepts[10].id | https://openalex.org/C127413603 |
| concepts[10].level | 0 |
| concepts[10].score | 0.10645356774330139 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[10].display_name | Engineering |
| concepts[11].id | https://openalex.org/C21547014 |
| concepts[11].level | 1 |
| concepts[11].score | 0.05891302227973938 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q1423657 |
| concepts[11].display_name | Operations management |
| concepts[12].id | https://openalex.org/C18903297 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[12].display_name | Ecology |
| concepts[13].id | https://openalex.org/C121332964 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[13].display_name | Physics |
| concepts[14].id | https://openalex.org/C86803240 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[14].display_name | Biology |
| concepts[15].id | https://openalex.org/C62520636 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[15].display_name | Quantum mechanics |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7151097059249878 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/big-data |
| keywords[1].score | 0.682587742805481 |
| keywords[1].display_name | Big data |
| keywords[2].id | https://openalex.org/keywords/power-consumption |
| keywords[2].score | 0.6583366394042969 |
| keywords[2].display_name | Power consumption |
| keywords[3].id | https://openalex.org/keywords/scheduling |
| keywords[3].score | 0.5384402871131897 |
| keywords[3].display_name | Scheduling (production processes) |
| keywords[4].id | https://openalex.org/keywords/analytics |
| keywords[4].score | 0.5306127667427063 |
| keywords[4].display_name | Analytics |
| keywords[5].id | https://openalex.org/keywords/resource-consumption |
| keywords[5].score | 0.4576704502105713 |
| keywords[5].display_name | Resource consumption |
| keywords[6].id | https://openalex.org/keywords/distributed-computing |
| keywords[6].score | 0.3799457550048828 |
| keywords[6].display_name | Distributed computing |
| keywords[7].id | https://openalex.org/keywords/power |
| keywords[7].score | 0.2760283648967743 |
| keywords[7].display_name | Power (physics) |
| keywords[8].id | https://openalex.org/keywords/data-science |
| keywords[8].score | 0.25309351086616516 |
| keywords[8].display_name | Data science |
| keywords[9].id | https://openalex.org/keywords/data-mining |
| keywords[9].score | 0.1386878788471222 |
| keywords[9].display_name | Data mining |
| keywords[10].id | https://openalex.org/keywords/engineering |
| keywords[10].score | 0.10645356774330139 |
| keywords[10].display_name | Engineering |
| keywords[11].id | https://openalex.org/keywords/operations-management |
| keywords[11].score | 0.05891302227973938 |
| keywords[11].display_name | Operations management |
| language | en |
| locations[0].id | doi:10.26599/tst.2025.9010018 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S24978797 |
| locations[0].source.issn | 1007-0214, 1878-7606 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1007-0214 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Tsinghua Science & Technology |
| locations[0].source.host_organization | https://openalex.org/P4310311901 |
| locations[0].source.host_organization_name | Tsinghua University Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311901 |
| locations[0].source.host_organization_lineage_names | Tsinghua University Press |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://file.sciopen.com/sciopen_public/1962372581488590849.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Tsinghua Science and Technology |
| locations[0].landing_page_url | https://doi.org/10.26599/tst.2025.9010018 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5075233678 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-6180-3892 |
| authorships[0].author.display_name | Yingchao Cheng |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yingchao Cheng |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5101432634 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-9731-1504 |
| authorships[1].author.display_name | Zhifeng Hao |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhifeng Hao |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5003347359 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-6797-2571 |
| authorships[2].author.display_name | Joshua Zhexue Huang |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Joshua Zhexue Huang |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5011596136 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-6954-7691 |
| authorships[3].author.display_name | Zhanchuan Cai |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Zhanchuan Cai |
| authorships[3].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://file.sciopen.com/sciopen_public/1962372581488590849.pdf |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Optimizing Resource Scheduling in Computing Power Networks for Low-Consumption Big Data Analytics |
| 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 | 0.9034000039100647 |
| 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/W4390608645, https://openalex.org/W4405901645, https://openalex.org/W4394895745, https://openalex.org/W4247566972, https://openalex.org/W2960264696, https://openalex.org/W3090563135, https://openalex.org/W2502104792, https://openalex.org/W4283385647, https://openalex.org/W2901966472, https://openalex.org/W4388561692 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.26599/tst.2025.9010018 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S24978797 |
| best_oa_location.source.issn | 1007-0214, 1878-7606 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1007-0214 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Tsinghua Science & Technology |
| best_oa_location.source.host_organization | https://openalex.org/P4310311901 |
| best_oa_location.source.host_organization_name | Tsinghua University Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311901 |
| best_oa_location.source.host_organization_lineage_names | Tsinghua University Press |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://file.sciopen.com/sciopen_public/1962372581488590849.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Tsinghua Science and Technology |
| best_oa_location.landing_page_url | https://doi.org/10.26599/tst.2025.9010018 |
| primary_location.id | doi:10.26599/tst.2025.9010018 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S24978797 |
| primary_location.source.issn | 1007-0214, 1878-7606 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1007-0214 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Tsinghua Science & Technology |
| primary_location.source.host_organization | https://openalex.org/P4310311901 |
| primary_location.source.host_organization_name | Tsinghua University Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311901 |
| primary_location.source.host_organization_lineage_names | Tsinghua University Press |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://file.sciopen.com/sciopen_public/1962372581488590849.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Tsinghua Science and Technology |
| primary_location.landing_page_url | https://doi.org/10.26599/tst.2025.9010018 |
| publication_date | 2025-09-01 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4320525798, https://openalex.org/W4221028885, https://openalex.org/W4313458650, https://openalex.org/W4281251447, https://openalex.org/W4394627470, https://openalex.org/W3129519206, https://openalex.org/W4391742217, https://openalex.org/W4388145742, https://openalex.org/W3089116250, https://openalex.org/W4297964528, https://openalex.org/W2883910734, https://openalex.org/W4293770403, https://openalex.org/W3008115759, https://openalex.org/W2948467663, https://openalex.org/W4395047770, https://openalex.org/W2145339207, https://openalex.org/W2546571074, https://openalex.org/W2119717200, https://openalex.org/W2958071912, https://openalex.org/W2968986602, https://openalex.org/W3118561874, https://openalex.org/W4392406041, https://openalex.org/W3133533407, https://openalex.org/W4285291487, https://openalex.org/W3212967191, https://openalex.org/W3173125632, https://openalex.org/W3168892396, https://openalex.org/W4388856605, https://openalex.org/W2793320545 |
| referenced_works_count | 29 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.51465618 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |