Abstract
With the increasing size and complexity of next-generation communication networks, it is critical to utilize interactive visualizations to support the monitoring, planning, and management of networks. Effectively visualizing large-scale networks is difficult with traditional methods because of the high link density and complex node relationships. Given the limited screen space, to assist Internet Service Provider’s (ISP) network planning and management activities, investigating how to present ultra-large-scale network data efficiently is crucial. This paper presents a real-time interactive visualization system that combines the design strategies of progressive disclosure and multiple panels to elegantly visualize the large-scale networks and avoid the information-overload problem. The system also visualizes the configuration of the network elements and provides the network performance information, including the port-level Quality of Service (QoS) metrics. Furthermore, the system enables navigation through the port-level connection and provides different modes for multiple purposes.
Highlights
1.1 MotivationThere has been a rapid growth in both the variety and volume of network traffic, and at the same time, it is becoming ever more important for network analysts to understand network behaviors and conduct network management [1]
Network management refers to the methods, activities, procedures, and tools that pertain to the operation, administration, maintenance, and provisioning of networked systems [2]
Network topology is a representation of the interconnection between directly connected peers in the network, and it is the arrangement of the elements of a communication network
Summary
Conducting network planning and management and monitoring network behaviors have been considered more and more important with the growth in network complexity and volume. With the increasing size and complexity of networks, more researchers consider it vital to utilize information interactive visualization tools to encourage data exploration and real-time analysis, and visualization can support timely response and decision making. Given the limited screen space, it is essential to explore how to manage large quantities of network data efficiently and contain the necessary network configuration and performance details. Providing performance metrics can benefit the network operators in understanding and monitoring the behavior of the network, and Quality of Service (QoS) management is one of the essential tasks in the network service management. The above are expected to benefit the network planners / network managers in conducting their network health analysis in a more effective way
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