Visualization of Node Interaction Dynamics in Network Traces

Dobrev, Petar; Stancu-Mara, Sorin; Schönwälder, Jürgen

doi:10.1007/978-3-642-02627-0_12

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…Dobrev et al [108] introduce some experiments using visualization to understand the dynamics recorded in NetFlow traces. Additionally, they also explore SNMP traces.…”

Section: B State Of the Artmentioning

confidence: 99%

A Survey on Information Visualization for Network and Service Management

Guimaraes

Freitas

Sadre

et al. 2016

IEEE Commun. Surv. Tutorials

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Network and service management encompasses a set of activities, methods, procedures, and tools whose ultimate goal is to guarantee the proper functioning of a networked system. Computational tools are essential to help network administrators in their daily tasks, and information visualization techniques are of great value in such context. In essence, information visualization techniques associated to visual analytics aim at facilitating the tasks of network administrators in the process of monitoring and maintaining the network health. This paper surveys the use of information visualization techniques as a tool to support the network and service management process. Through a Systematic Literature Review (SLR), we provide a historical overview and discuss the current state of the art in the field. We present a classification of 285 articles and papers from 1985 to 2013, according to an information visualization taxonomy as well as a network and service management taxonomy. Finally, we point out future research directions and opportunities regarding the use of information visualization in network and service management.Taking into account the example mentioned above, [15] and [17] are examples of articles/papers that match with the research goal. Thus, they are stored and cataloged, and their references are verified. In the analysis of the references of [15], for example, we found the work of Koike et al. "Visualizing cyber attacks using IP matrix" [19]. On the other hand, [16] is an example of a work that was discarded after the analysis of the abstract and keywords (i.e., the second step of filtering).Once finished the search process, a set of 374 articles and papers remained selected. These publications are from a time interval ranging from 1985 to 2013.

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“…Dobrev et al [108] introduce some experiments using visualization to understand the dynamics recorded in NetFlow traces. Additionally, they also explore SNMP traces.…”

Section: B State Of the Artmentioning

confidence: 99%

A Survey on Information Visualization for Network and Service Management

Guimaraes

Freitas

Sadre

et al. 2016

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

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“…Salvador et al [5] presented three visualization techniques for visualizing specific information related to SNMP traffic measurements performed accordingly to a methodology proposed by the Internet Research Task Force (IRTF) [6]. Finally, Dobrev et al [7] used existing tools to visualize node interaction dynamics, trying to find patterns on the polling cycle of stations and topology changes.…”

Section: Introductionmentioning

confidence: 98%

Interactive SNMP traffic analysis through information visualization

Barbosa

Granville

2010

2010 IEEE Network Operations and Management Symposium - NOMS 2010

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The network management area deals with large amounts of data. Some of its protocols and techniques are not completely understood when it comes to usage patterns and most used features. The understanding of such characteristics is a challenging process, due to the massive data amount involved. This process can be supported by information visualization techniques. These consist in visual representations of data that make use of the unique properties of the human visual system to make insights about it in a more intuitive and effective way. In this context, interactivity has proved itself to be one of the main factors involved in providing such intuitiveness and effectiveness, specially in analysis of large datasets. Nevertheless, few interaction possibilities are available in current network management traffic visualization systems. In this paper we present a set of interactive information visualization techniques adapted to visualize SNMP trace files. We used an insight-based evaluation to show how the presented techniques can aid on the insight achievement process.

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