2019•Communications in computer and information scienceOpen access

Association Visualization Analysis for the Application Service Layer and Network Control Layer

Mianmian Shi, Huaping Cao

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Abstract

Most researches about complex networks are single-layer networks-based representation. However, in most cases, systems in the real world are not isolated but connective. In this paper, different from the traditional Open System Interconnection (OSI) model, our research pays attention to application service layer and network control layer for the view of application. Two layers connect with each other by using IP mapping relationship. Firstly, to avoid unnecessary loss of computational efficiency, we modify Louvain algorithm to divide the nodes in network control layer into several parts. Secondly, we add additional community attractive force and introduce Barnes-Hut force-calculation model to Fruchterman-Reingold algorithm in order to make nodes in network control layer aligned more structured and well-distributed efficiently. Finally, we merge the application service layer and the network control layer into a two-layer visualization model. Based on our two-layer model, the whole network trend, topology and incidence relation can be conveniently grasped.

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What this paper is about

Most researches about complex networks are single-layer networks-based representation. However, in most cases, systems in the real world are not isolated but connective. In this paper, different from the traditional Open System Interconnection (OSI) model, our research pays attention to application service layer and network control layer for the view of application. Two layers connect with each other by using IP mapping relationship. Firstly, to avoid unnecessary loss of computational efficiency, we modify Louvain algorithm to divide the nodes in network control layer into several parts. Secondly, we add additional community attractive force and introduce Barnes-Hut force-calculation model to Fruchterman-Reingold algorithm in order to make nodes in network control layer aligned more structured and well-distributed efficiently. Finally, we merge the application service layer and the network control layer into a two-layer visualization model. Based on our two-layer model, the whole network trend, topology and incidence relation can be conveniently grasped.

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Available abstract

Most researches about complex networks are single-layer networks-based representation. However, in most cases, systems in the real world are not isolated but connective. In this paper, different from the traditional Open System Interconnection (OSI) model, our research pays attention to application service layer and network control layer for the view of application. Two layers connect with each other by using IP mapping relationship. Firstly, to avoid unnecessary loss of computational efficiency, we modify Louvain algorithm to divide the nodes in network control layer into several parts. Secondly, we add additional community attractive force and introduce Barnes-Hut force-calculation model to Fruchterman-Reingold algorithm in order to make nodes in network control layer aligned more structured and well-distributed efficiently. Finally, we merge the application service layer and the network control layer into a two-layer visualization model. Based on our two-layer model, the whole network trend, topology and incidence relation can be conveniently grasped.

Key concepts: OSI model, Computer science, Service layer, Application layer, Network layer, Layer (electronics), Distributed computing, Data link layer

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