Research on collaborative edge network service migration strategy based on crowd clustering
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Research on collaborative edge network service migration strategy based on crowd clustering ; volume:14 ; number:1 ; day:26 ; month:3 ; year:2024 ; pages:1-20 ; date:12.2024
Scientific reports ; 14, Heft 1 (26.3.2024), 1-20, 12.2024
- Urheber
-
Cao, Junjie
Yu, Zhiyong
Xue, Bin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-58048-0
- URN
-
urn:nbn:de:101:1-2406121213222.953605567484
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Cao, Junjie
- Yu, Zhiyong
- Xue, Bin
- SpringerLink (Online service)
Ähnliche Objekte (12)
An edge server placement based on graph clustering in mobile edge computing
Facilitative crowd collaboration and collaborative crowd facilitation : exploring, understanding and designing the collaboration among crowd workers and their facilitation via conversational agents on crowd-based platforms
On the edges of clustering : creating synergies with related problems
QoE collaborative evaluation method based on fuzzy clustering heuristic algorithm
Collaborative filtering recommendation algorithm based on user correlation and evolutionary clustering
A cloud-edge collaborative task scheduling method based on model segmentation
On Modularity Clustering
Essays on crowd-based idea evaluation - empirical evidence from an anonymous online crowd
Crowd management based on direct communication technology
Optimized evacuation route based on crowd simulation
EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING
Research on electromagnetic vibration energy harvester for cloud-edge-end collaborative architecture in power grid
An edge server placement based on graph clustering in mobile edge computing
Facilitative crowd collaboration and collaborative crowd facilitation : exploring, understanding and designing the collaboration among crowd workers and their facilitation via conversational agents on crowd-based platforms
On the edges of clustering : creating synergies with related problems
QoE collaborative evaluation method based on fuzzy clustering heuristic algorithm
Collaborative filtering recommendation algorithm based on user correlation and evolutionary clustering
A cloud-edge collaborative task scheduling method based on model segmentation
On Modularity Clustering
Essays on crowd-based idea evaluation - empirical evidence from an anonymous online crowd
Crowd management based on direct communication technology
Optimized evacuation route based on crowd simulation
EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING
Research on electromagnetic vibration energy harvester for cloud-edge-end collaborative architecture in power grid
An edge server placement based on graph clustering in mobile edge computing
Facilitative crowd collaboration and collaborative crowd facilitation : exploring, understanding and designing the collaboration among crowd workers and their facilitation via conversational agents on crowd-based platforms
On the edges of clustering : creating synergies with related problems
QoE collaborative evaluation method based on fuzzy clustering heuristic algorithm
Collaborative filtering recommendation algorithm based on user correlation and evolutionary clustering
A cloud-edge collaborative task scheduling method based on model segmentation
On Modularity Clustering
Essays on crowd-based idea evaluation - empirical evidence from an anonymous online crowd
Crowd management based on direct communication technology
Optimized evacuation route based on crowd simulation
EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING