A Multi-Objective Approach for Optimizing Edge-Based Resource Allocation Using TOPSIS Article Swipe
Habiba Mohamed
,
Eyhab Al‐Masri
,
Olivera Kotevska
,
Alireza Souri
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11182888
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11182888
Existing approaches for allocating resources on edge environments are inefficient and lack the support of heterogeneous edge devices, which in turn fail to optimize the dependency on cloud infrastructures or datacenters. To this extent, we propose in this paper OpERA, a multi-layered edge-based resource allocation optimization framework that supports heterogeneous and seamless execution of offloadable tasks across edge, fog, and cloud computing layers and architectures. By capturing offloadable task requirements, OpERA is capable of identifying suitable resources within nearby edge or fog layers, thus optimizing the execution process. Throughout the paper, we present results which show the effectiveness of our proposed optimization strategy in terms of reducing costs, minimizing energy consumption, and promoting other residual gains in terms of processing computations, network bandwidth, and task execution time. We also demonstrate that by optimizing resource allocation in computation offloading, it is then possible to increase the likelihood of successful task offloading, particularly for computationally intensive tasks that are becoming integral as part of many IoT applications such robotic surgery, autonomous driving, smart city monitoring device grids, and deep learning tasks. The evaluation of our OpERA optimization algorithm reveals that the TOPSIS MCDM technique effectively identifies optimal compute resources for processing offloadable tasks, with a 96% success rate. Moreover, the results from our experiments with a diverse range of use cases show that our OpERA optimization strategy can effectively reduce energy consumption by up to 88%, and operational costs by 76%, by identifying relevant compute resources.
Related Topics
Concepts
Computer science
Cloud computing
Distributed computing
Edge computing
Resource allocation
Enhanced Data Rates for GSM Evolution
Task (project management)
TOPSIS
Energy consumption
Edge device
Operations research
Artificial intelligence
Computer network
Engineering
Systems engineering
Operating system
Electrical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics11182888
- https://www.mdpi.com/2079-9292/11/18/2888/pdf?version=1663043935
- OA Status
- gold
- Cited By
- 15
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4295538083
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4295538083Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics11182888Digital Object Identifier
- Title
-
A Multi-Objective Approach for Optimizing Edge-Based Resource Allocation Using TOPSISWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-13Full publication date if available
- Authors
-
Habiba Mohamed, Eyhab Al‐Masri, Olivera Kotevska, Alireza SouriList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics11182888Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/11/18/2888/pdf?version=1663043935Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-9292/11/18/2888/pdf?version=1663043935Direct OA link when available
- Concepts
-
Computer science, Cloud computing, Distributed computing, Edge computing, Resource allocation, Enhanced Data Rates for GSM Evolution, Task (project management), TOPSIS, Energy consumption, Edge device, Operations research, Artificial intelligence, Computer network, Engineering, Systems engineering, Operating system, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 5, 2023: 4, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
61Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4295538083 |
|---|---|
| doi | https://doi.org/10.3390/electronics11182888 |
| ids.doi | https://doi.org/10.3390/electronics11182888 |
| ids.openalex | https://openalex.org/W4295538083 |
| fwci | 3.21362617 |
| type | article |
| title | A Multi-Objective Approach for Optimizing Edge-Based Resource Allocation Using TOPSIS |
| biblio.issue | 18 |
| biblio.volume | 11 |
| biblio.last_page | 2888 |
| biblio.first_page | 2888 |
| topics[0].id | https://openalex.org/T10273 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9998999834060669 |
| 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 | IoT and Edge/Fog Computing |
| topics[1].id | https://openalex.org/T10036 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9939000010490417 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Advanced Neural Network Applications |
| topics[2].id | https://openalex.org/T13553 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9814000129699707 |
| 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 | Age of Information Optimization |
| is_xpac | False |
| apc_list.value | 2000 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2165 |
| apc_paid.value | 2000 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2165 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7996118068695068 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C79974875 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7038872838020325 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q483639 |
| concepts[1].display_name | Cloud computing |
| concepts[2].id | https://openalex.org/C120314980 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5742402076721191 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q180634 |
| concepts[2].display_name | Distributed computing |
| concepts[3].id | https://openalex.org/C2778456923 |
| concepts[3].level | 3 |
| concepts[3].score | 0.5417736768722534 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q5337692 |
| concepts[3].display_name | Edge computing |
| concepts[4].id | https://openalex.org/C29202148 |
| concepts[4].level | 2 |
| concepts[4].score | 0.49921751022338867 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q287260 |
| concepts[4].display_name | Resource allocation |
| concepts[5].id | https://openalex.org/C162307627 |
| concepts[5].level | 2 |
| concepts[5].score | 0.46102768182754517 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q204833 |
| concepts[5].display_name | Enhanced Data Rates for GSM Evolution |
| concepts[6].id | https://openalex.org/C2780451532 |
| concepts[6].level | 2 |
| concepts[6].score | 0.43895968794822693 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q759676 |
| concepts[6].display_name | Task (project management) |
| concepts[7].id | https://openalex.org/C51566761 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4370037615299225 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1235853 |
| concepts[7].display_name | TOPSIS |
| concepts[8].id | https://openalex.org/C2780165032 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4342536926269531 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q16869822 |
| concepts[8].display_name | Energy consumption |
| concepts[9].id | https://openalex.org/C138236772 |
| concepts[9].level | 3 |
| concepts[9].score | 0.42589014768600464 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q25098575 |
| concepts[9].display_name | Edge device |
| concepts[10].id | https://openalex.org/C42475967 |
| concepts[10].level | 1 |
| concepts[10].score | 0.17885833978652954 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q194292 |
| concepts[10].display_name | Operations research |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.17031225562095642 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C31258907 |
| concepts[12].level | 1 |
| concepts[12].score | 0.14401206374168396 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[12].display_name | Computer network |
| concepts[13].id | https://openalex.org/C127413603 |
| concepts[13].level | 0 |
| concepts[13].score | 0.10393619537353516 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[13].display_name | Engineering |
| concepts[14].id | https://openalex.org/C201995342 |
| concepts[14].level | 1 |
| concepts[14].score | 0.10056152939796448 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q682496 |
| concepts[14].display_name | Systems engineering |
| concepts[15].id | https://openalex.org/C111919701 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[15].display_name | Operating system |
| concepts[16].id | https://openalex.org/C119599485 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q43035 |
| concepts[16].display_name | Electrical engineering |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7996118068695068 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/cloud-computing |
| keywords[1].score | 0.7038872838020325 |
| keywords[1].display_name | Cloud computing |
| keywords[2].id | https://openalex.org/keywords/distributed-computing |
| keywords[2].score | 0.5742402076721191 |
| keywords[2].display_name | Distributed computing |
| keywords[3].id | https://openalex.org/keywords/edge-computing |
| keywords[3].score | 0.5417736768722534 |
| keywords[3].display_name | Edge computing |
| keywords[4].id | https://openalex.org/keywords/resource-allocation |
| keywords[4].score | 0.49921751022338867 |
| keywords[4].display_name | Resource allocation |
| keywords[5].id | https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution |
| keywords[5].score | 0.46102768182754517 |
| keywords[5].display_name | Enhanced Data Rates for GSM Evolution |
| keywords[6].id | https://openalex.org/keywords/task |
| keywords[6].score | 0.43895968794822693 |
| keywords[6].display_name | Task (project management) |
| keywords[7].id | https://openalex.org/keywords/topsis |
| keywords[7].score | 0.4370037615299225 |
| keywords[7].display_name | TOPSIS |
| keywords[8].id | https://openalex.org/keywords/energy-consumption |
| keywords[8].score | 0.4342536926269531 |
| keywords[8].display_name | Energy consumption |
| keywords[9].id | https://openalex.org/keywords/edge-device |
| keywords[9].score | 0.42589014768600464 |
| keywords[9].display_name | Edge device |
| keywords[10].id | https://openalex.org/keywords/operations-research |
| keywords[10].score | 0.17885833978652954 |
| keywords[10].display_name | Operations research |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.17031225562095642 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/computer-network |
| keywords[12].score | 0.14401206374168396 |
| keywords[12].display_name | Computer network |
| keywords[13].id | https://openalex.org/keywords/engineering |
| keywords[13].score | 0.10393619537353516 |
| keywords[13].display_name | Engineering |
| keywords[14].id | https://openalex.org/keywords/systems-engineering |
| keywords[14].score | 0.10056152939796448 |
| keywords[14].display_name | Systems engineering |
| language | en |
| locations[0].id | doi:10.3390/electronics11182888 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210202905 |
| locations[0].source.issn | 2079-9292 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2079-9292 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Electronics |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2079-9292/11/18/2888/pdf?version=1663043935 |
| 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 | Electronics |
| locations[0].landing_page_url | https://doi.org/10.3390/electronics11182888 |
| locations[1].id | pmh:oai:doaj.org/article:560b90dd690e4bb0b55713093dd50404 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Electronics, Vol 11, Iss 2888, p 2888 (2022) |
| locations[1].landing_page_url | https://doaj.org/article/560b90dd690e4bb0b55713093dd50404 |
| locations[2].id | pmh:oai:mdpi.com:/2079-9292/11/18/2888/ |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400947 |
| 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 | MDPI (MDPI AG) |
| locations[2].source.host_organization | https://openalex.org/I4210097602 |
| locations[2].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[2].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Electronics; Volume 11; Issue 18; Pages: 2888 |
| locations[2].landing_page_url | https://dx.doi.org/10.3390/electronics11182888 |
| locations[3].id | pmh:oai:osti.gov:1887679 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306402487 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) |
| locations[3].source.host_organization | https://openalex.org/I139351228 |
| locations[3].source.host_organization_name | Office of Scientific and Technical Information |
| locations[3].source.host_organization_lineage | https://openalex.org/I139351228 |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://www.osti.gov/biblio/1887679 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5087559809 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Habiba Mohamed |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210150356 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Engineering and Technology, University of Washington, Tacoma, WA 98402, USA |
| authorships[0].institutions[0].id | https://openalex.org/I4210150356 |
| authorships[0].institutions[0].ror | https://ror.org/05n8t2628 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I201448701, https://openalex.org/I4210150356 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of Washington Tacoma |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Habiba Mohamed |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Engineering and Technology, University of Washington, Tacoma, WA 98402, USA |
| authorships[1].author.id | https://openalex.org/A5071801237 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5163-6792 |
| authorships[1].author.display_name | Eyhab Al‐Masri |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210150356 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Engineering and Technology, University of Washington, Tacoma, WA 98402, USA |
| authorships[1].institutions[0].id | https://openalex.org/I4210150356 |
| authorships[1].institutions[0].ror | https://ror.org/05n8t2628 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I201448701, https://openalex.org/I4210150356 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | University of Washington Tacoma |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Eyhab Al-Masri |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | School of Engineering and Technology, University of Washington, Tacoma, WA 98402, USA |
| authorships[2].author.id | https://openalex.org/A5021188335 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1677-2243 |
| authorships[2].author.display_name | Olivera Kotevska |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1289243028 |
| authorships[2].affiliations[0].raw_affiliation_string | Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA |
| authorships[2].institutions[0].id | https://openalex.org/I1289243028 |
| authorships[2].institutions[0].ror | https://ror.org/01qz5mb56 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I1289243028, https://openalex.org/I1330989302, https://openalex.org/I39565521, https://openalex.org/I4210159294 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Oak Ridge National Laboratory |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Olivera Kotevska |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA |
| authorships[3].author.id | https://openalex.org/A5080921529 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-8314-9051 |
| authorships[3].author.display_name | Alireza Souri |
| authorships[3].countries | TR |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I25010766 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Computer Engineering, Haliç University, Istanbul 34060, Turkey |
| authorships[3].institutions[0].id | https://openalex.org/I25010766 |
| authorships[3].institutions[0].ror | https://ror.org/022xhck05 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I25010766 |
| authorships[3].institutions[0].country_code | TR |
| authorships[3].institutions[0].display_name | Haliç University |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Alireza Souri |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Computer Engineering, Haliç University, Istanbul 34060, Turkey |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2079-9292/11/18/2888/pdf?version=1663043935 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2022-09-14T00:00:00 |
| display_name | A Multi-Objective Approach for Optimizing Edge-Based Resource Allocation Using TOPSIS |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10273 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9998999834060669 |
| 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 | IoT and Edge/Fog Computing |
| related_works | https://openalex.org/W4322761281, https://openalex.org/W4238233472, https://openalex.org/W3111395152, https://openalex.org/W4313526662, https://openalex.org/W4313463218, https://openalex.org/W3106131444, https://openalex.org/W3216099748, https://openalex.org/W4205963435, https://openalex.org/W4312996489, https://openalex.org/W3214037210 |
| cited_by_count | 15 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 5 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 5 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 4 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3390/electronics11182888 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210202905 |
| best_oa_location.source.issn | 2079-9292 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2079-9292 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Electronics |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2079-9292/11/18/2888/pdf?version=1663043935 |
| 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 | Electronics |
| best_oa_location.landing_page_url | https://doi.org/10.3390/electronics11182888 |
| primary_location.id | doi:10.3390/electronics11182888 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210202905 |
| primary_location.source.issn | 2079-9292 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2079-9292 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Electronics |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2079-9292/11/18/2888/pdf?version=1663043935 |
| 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 | Electronics |
| primary_location.landing_page_url | https://doi.org/10.3390/electronics11182888 |
| publication_date | 2022-09-13 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W3190287385, https://openalex.org/W2963232127, https://openalex.org/W3048135502, https://openalex.org/W3092644015, https://openalex.org/W3008833026, https://openalex.org/W2195423816, https://openalex.org/W2883649305, https://openalex.org/W2984381742, https://openalex.org/W2295285177, https://openalex.org/W2901459696, https://openalex.org/W2781935635, https://openalex.org/W2088692353, https://openalex.org/W3195025622, https://openalex.org/W2981845057, https://openalex.org/W3165858465, https://openalex.org/W2970982242, https://openalex.org/W3156755687, https://openalex.org/W2908322047, https://openalex.org/W6789640412, https://openalex.org/W2961409814, https://openalex.org/W1965672041, https://openalex.org/W3134328188, https://openalex.org/W2065109455, https://openalex.org/W2966021969, https://openalex.org/W2976044145, https://openalex.org/W2968424451, https://openalex.org/W2904534804, https://openalex.org/W3139447316, https://openalex.org/W3216645341, https://openalex.org/W3130206428, https://openalex.org/W2948457642, https://openalex.org/W1972591816, https://openalex.org/W2076309564, https://openalex.org/W1970790016, https://openalex.org/W2010149338, https://openalex.org/W2038508330, https://openalex.org/W3024762568, https://openalex.org/W3147237338, https://openalex.org/W2995048138, https://openalex.org/W2016361990, https://openalex.org/W3113881594, https://openalex.org/W4200275473, https://openalex.org/W3127748772, https://openalex.org/W2561389184, https://openalex.org/W3107184047, https://openalex.org/W3022957613, https://openalex.org/W2887821509, https://openalex.org/W2964015972, https://openalex.org/W2900601578, https://openalex.org/W3175345449, https://openalex.org/W3034542011, https://openalex.org/W3089950991, https://openalex.org/W2989463999, https://openalex.org/W2900151852, https://openalex.org/W2897759409, https://openalex.org/W3045259134, https://openalex.org/W3026449395, https://openalex.org/W1983182219, https://openalex.org/W3126338503, https://openalex.org/W3086423855, https://openalex.org/W3125976728 |
| referenced_works_count | 61 |
| abstract_inverted_index.a | 40, 202, 213 |
| abstract_inverted_index.By | 65 |
| abstract_inverted_index.To | 31 |
| abstract_inverted_index.We | 127 |
| abstract_inverted_index.as | 159 |
| abstract_inverted_index.by | 131, 230, 237, 239 |
| abstract_inverted_index.in | 19, 36, 103, 116, 135 |
| abstract_inverted_index.is | 71, 139 |
| abstract_inverted_index.it | 138 |
| abstract_inverted_index.of | 14, 53, 73, 98, 105, 118, 146, 161, 181, 216 |
| abstract_inverted_index.on | 5, 26 |
| abstract_inverted_index.or | 29, 80 |
| abstract_inverted_index.to | 22, 142, 232 |
| abstract_inverted_index.up | 231 |
| abstract_inverted_index.we | 34, 91 |
| abstract_inverted_index.96% | 203 |
| abstract_inverted_index.IoT | 163 |
| abstract_inverted_index.The | 179 |
| abstract_inverted_index.and | 10, 50, 59, 63, 111, 123, 175, 234 |
| abstract_inverted_index.are | 8, 156 |
| abstract_inverted_index.can | 225 |
| abstract_inverted_index.fog | 81 |
| abstract_inverted_index.for | 2, 151, 197 |
| abstract_inverted_index.our | 99, 182, 210, 221 |
| abstract_inverted_index.the | 12, 24, 85, 89, 96, 144, 188, 207 |
| abstract_inverted_index.use | 217 |
| abstract_inverted_index.76%, | 238 |
| abstract_inverted_index.88%, | 233 |
| abstract_inverted_index.MCDM | 190 |
| abstract_inverted_index.also | 128 |
| abstract_inverted_index.city | 171 |
| abstract_inverted_index.deep | 176 |
| abstract_inverted_index.edge | 6, 16, 79 |
| abstract_inverted_index.fail | 21 |
| abstract_inverted_index.fog, | 58 |
| abstract_inverted_index.from | 209 |
| abstract_inverted_index.lack | 11 |
| abstract_inverted_index.many | 162 |
| abstract_inverted_index.part | 160 |
| abstract_inverted_index.show | 95, 219 |
| abstract_inverted_index.such | 165 |
| abstract_inverted_index.task | 68, 124, 148 |
| abstract_inverted_index.that | 47, 130, 155, 187, 220 |
| abstract_inverted_index.then | 140 |
| abstract_inverted_index.this | 32, 37 |
| abstract_inverted_index.thus | 83 |
| abstract_inverted_index.turn | 20 |
| abstract_inverted_index.with | 201, 212 |
| abstract_inverted_index.OpERA | 70, 183, 222 |
| abstract_inverted_index.cases | 218 |
| abstract_inverted_index.cloud | 27, 60 |
| abstract_inverted_index.costs | 236 |
| abstract_inverted_index.edge, | 57 |
| abstract_inverted_index.gains | 115 |
| abstract_inverted_index.other | 113 |
| abstract_inverted_index.paper | 38 |
| abstract_inverted_index.range | 215 |
| abstract_inverted_index.rate. | 205 |
| abstract_inverted_index.smart | 170 |
| abstract_inverted_index.tasks | 55, 154 |
| abstract_inverted_index.terms | 104, 117 |
| abstract_inverted_index.time. | 126 |
| abstract_inverted_index.which | 18, 94 |
| abstract_inverted_index.OpERA, | 39 |
| abstract_inverted_index.TOPSIS | 189 |
| abstract_inverted_index.across | 56 |
| abstract_inverted_index.costs, | 107 |
| abstract_inverted_index.device | 173 |
| abstract_inverted_index.energy | 109, 228 |
| abstract_inverted_index.grids, | 174 |
| abstract_inverted_index.layers | 62 |
| abstract_inverted_index.nearby | 78 |
| abstract_inverted_index.paper, | 90 |
| abstract_inverted_index.reduce | 227 |
| abstract_inverted_index.tasks, | 200 |
| abstract_inverted_index.tasks. | 178 |
| abstract_inverted_index.within | 77 |
| abstract_inverted_index.capable | 72 |
| abstract_inverted_index.compute | 195, 242 |
| abstract_inverted_index.diverse | 214 |
| abstract_inverted_index.extent, | 33 |
| abstract_inverted_index.layers, | 82 |
| abstract_inverted_index.network | 121 |
| abstract_inverted_index.optimal | 194 |
| abstract_inverted_index.present | 92 |
| abstract_inverted_index.propose | 35 |
| abstract_inverted_index.results | 93, 208 |
| abstract_inverted_index.reveals | 186 |
| abstract_inverted_index.robotic | 166 |
| abstract_inverted_index.success | 204 |
| abstract_inverted_index.support | 13 |
| abstract_inverted_index.Existing | 0 |
| abstract_inverted_index.becoming | 157 |
| abstract_inverted_index.devices, | 17 |
| abstract_inverted_index.driving, | 169 |
| abstract_inverted_index.increase | 143 |
| abstract_inverted_index.integral | 158 |
| abstract_inverted_index.learning | 177 |
| abstract_inverted_index.optimize | 23 |
| abstract_inverted_index.possible | 141 |
| abstract_inverted_index.process. | 87 |
| abstract_inverted_index.proposed | 100 |
| abstract_inverted_index.reducing | 106 |
| abstract_inverted_index.relevant | 241 |
| abstract_inverted_index.residual | 114 |
| abstract_inverted_index.resource | 43, 133 |
| abstract_inverted_index.seamless | 51 |
| abstract_inverted_index.strategy | 102, 224 |
| abstract_inverted_index.suitable | 75 |
| abstract_inverted_index.supports | 48 |
| abstract_inverted_index.surgery, | 167 |
| abstract_inverted_index.Moreover, | 206 |
| abstract_inverted_index.algorithm | 185 |
| abstract_inverted_index.capturing | 66 |
| abstract_inverted_index.computing | 61 |
| abstract_inverted_index.execution | 52, 86, 125 |
| abstract_inverted_index.framework | 46 |
| abstract_inverted_index.intensive | 153 |
| abstract_inverted_index.promoting | 112 |
| abstract_inverted_index.resources | 4, 76, 196 |
| abstract_inverted_index.technique | 191 |
| abstract_inverted_index.Throughout | 88 |
| abstract_inverted_index.allocating | 3 |
| abstract_inverted_index.allocation | 44, 134 |
| abstract_inverted_index.approaches | 1 |
| abstract_inverted_index.autonomous | 168 |
| abstract_inverted_index.bandwidth, | 122 |
| abstract_inverted_index.dependency | 25 |
| abstract_inverted_index.edge-based | 42 |
| abstract_inverted_index.evaluation | 180 |
| abstract_inverted_index.identifies | 193 |
| abstract_inverted_index.likelihood | 145 |
| abstract_inverted_index.minimizing | 108 |
| abstract_inverted_index.monitoring | 172 |
| abstract_inverted_index.optimizing | 84, 132 |
| abstract_inverted_index.processing | 119, 198 |
| abstract_inverted_index.resources. | 243 |
| abstract_inverted_index.successful | 147 |
| abstract_inverted_index.computation | 136 |
| abstract_inverted_index.consumption | 229 |
| abstract_inverted_index.demonstrate | 129 |
| abstract_inverted_index.effectively | 192, 226 |
| abstract_inverted_index.experiments | 211 |
| abstract_inverted_index.identifying | 74, 240 |
| abstract_inverted_index.inefficient | 9 |
| abstract_inverted_index.offloadable | 54, 67, 199 |
| abstract_inverted_index.offloading, | 137, 149 |
| abstract_inverted_index.operational | 235 |
| abstract_inverted_index.applications | 164 |
| abstract_inverted_index.consumption, | 110 |
| abstract_inverted_index.datacenters. | 30 |
| abstract_inverted_index.environments | 7 |
| abstract_inverted_index.optimization | 45, 101, 184, 223 |
| abstract_inverted_index.particularly | 150 |
| abstract_inverted_index.computations, | 120 |
| abstract_inverted_index.effectiveness | 97 |
| abstract_inverted_index.heterogeneous | 15, 49 |
| abstract_inverted_index.multi-layered | 41 |
| abstract_inverted_index.requirements, | 69 |
| abstract_inverted_index.architectures. | 64 |
| abstract_inverted_index.computationally | 152 |
| abstract_inverted_index.infrastructures | 28 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5071801237 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I4210150356 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.88426771 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |