scholarly journals 5G Network Data Migration Service Based on Edge Computing

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2134
Author(s):  
Furong Li ◽  
Duan Wang
Keyword(s):  
Joint Control ◽  
Network Data ◽  
Data Service ◽  
Data Link ◽  
Migration Strategy ◽  
Continuous Increase ◽  
Edge Node ◽  
Service Package ◽  
Migration Data ◽  
5G Network

With the development of mobile network technology, the continuous increase of mobile traffic has put forward higher requirements for quality of service (QoS) issues such as asymmetric transmission delay. The paper mainly studies the energy distribution problem on the migration data link from the terminal device to the edge node in the mobile edge network. Multiple data service packages are set up at each hop on the migration data link, and these data service packages compete with each other, and ultimately only one terminal provides and stores energy for this hop. The migration strategy of the data service package is affected by the edge node, and the edge node changes the migration strategy according to the migration strategy of the data service package. The paper is based on the formation of nodes between the data service packages of different nodes on the 5G network data link to jointly control the migration strategy, coordinate the migration strategy formulated, and better coordinate the migration strategy. In this competitive game model, the optimal migration strategy of nodes is found out according to the terminal equipment access requirements. Then according to the node stability rules, the composition of nodes when the nodes are stable is obtained, the migration strategy of stable nodes and the migration and spectrum strategies of operators are obtained, and the migration strategy of joint control provides energy for edge nodes.

Enhancing link prediction by exploring community membership of nodes

2019 ◽  
Vol 33 (31) ◽  
pp. 1950382
Author(s):  
Shenshen Bai ◽  
Shiyu Fang ◽  
Longjie Li ◽  
Rui Liu ◽  
Xiaoyun Chen
Keyword(s):  
Community Structure ◽  
Prediction Model ◽  
Link Prediction ◽  
Prediction Accuracy ◽  
Network Data ◽  
Data Link ◽  
Structure Information ◽  
Community Membership

With the proliferation of available network data, link prediction has become increasingly important and captured growing attention from various disciplines. To enhance the prediction accuracy by making full use of community structure information, this paper proposes a new link prediction model, namely CMS, in which different community memberships of nodes are investigated. In the opinion of CMS, different memberships can have different influence to link’s formation. To estimate the connection likelihood between two nodes, the CMS model weights the contribution of each shared neighbor according to the corresponding community membership. Three CMS-based methods are derived by introducing three forms of contribution that neighbors make. Extensive experiments on 12 networks are conducted to evaluate the performance of CMS-based methods. The results manifest that CMS-based methods are more effective and robust than baselines.

scholarly journals Wireless Multi-Hop Network Data Transmission of Multi-Parameter Joint Control

2021 ◽  
Vol 14 (2) ◽  
pp. 73-79
Author(s):  
Liang Zong ◽  
Yudan Ning ◽  
Chenglin Zhao ◽  
Gaofeng Luo ◽  
Baoxing Pu
Keyword(s):  
Data Transmission ◽  
Joint Control ◽  
Network Data

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban
Keyword(s):  
Social Network ◽  
Network Data ◽  
Social Network Data
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