Figure - available from: The Journal of Supercomputing
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This paper presents HiperView, a visual analytics framework monitoring and characterizing the health status of high-performance computing systems through a RESTful interface in real time. The primary objectives of this visual analytical system are: (1) to provide a graphical interface for tracking the health status of a large number of data center...
Citations
... Hiperview is a visual analytics tool that characterizes and visualizes the health status of HPC nodes [32]. Fig. 14 shows the main graphical interface of the HiperView visualization which consists of a radar charts view and a main view using heatmaps. ...
Current monitoring tools for high-performance computing (HPC) systems are often inefficient in terms of scalability and interfacing with modern data center management APIs. This inefficiency leads to a lack of effective management of the infrastructure of modern data centers. Nagios is one of the widely used industry-standard tools for data center infrastructure monitoring, which mainly includes monitoring of nodes and associated hardware and software components. However, current Nagios monitoring has special requirements that introduce several limitations. First, significant human effort is needed for the configuration of monitored nodes in the Nagios server. Second, the Nagios Remote Plugin Executor and the Nagios Service Check Acceptor are required on the Nagios server and each monitored node for active and passive monitoring, respectively. Third, Nagios monitoring also requires monitoring-specific agents on each monitored node. These shortcomings are inherently due to Nagios’ in-band implementation nature. To overcome these limitations, we introduced Redfish-Nagios, a scalable out-of-band monitoring tool for modern HPC systems. It integrates the Nagios server with the out-of-band Distributed Management Task Force’s Redfish telemetry model, which is implemented in the baseboard management controller of the nodes. This integration eliminates the requirements of any agent, plugin, hardware component, or configuration on the monitored nodes. It is potentially a paradigm shift in Nagios-based monitoring for two reasons. First, it simplifies communication between the Nagios server and monitored nodes. Second, it saves computational costs by removing the requirements of running complex Nagios-native protocols and agents on the monitored nodes. The Redfish-Nagios integration methodology enables the monitoring of next-generation HPC systems using the scalable and modern Redfish telemetry model and interface.
