CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Breaking the silence: auralization of parallel program behavior
Journal of Parallel and Distributed Computing - Special issue on tools and methods for visualization of parallel systems and computations
Distributed resource administration using Cfengine
Software—Practice & Experience
Auditory Display: Sonification, Audification, and Auditory Interfaces
Auditory Display: Sonification, Audification, and Auditory Interfaces
LISA '98 Proceedings of the 12th USENIX conference on System administration
Networked music: bridging real and virtual space
Organised Sound
The Maelstrom: Network Service Debugging via "Ineffective Procedures"
LISA '01 Proceedings of the 15th USENIX conference on System administration
Holistic Quota Management: The Natural Path to a Better, More Efficient Quota System
LISA '02 Proceedings of the 16th USENIX conference on System administration
Process Monitor: Detecting Events That Didn't Happen
LISA '02 Proceedings of the 16th USENIX conference on System administration
Using sound to understand software architecture
Proceedings of the 27th ACM international conference on Design of communication
SensorTune: a mobile auditory interface for DIY wireless sensor networks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A scalable aural-visual environment for security event monitoring, analysis, and response
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Toward sound-assisted intrusion detection systems
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
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Activities in complex networks are often both too important to ignore and too tedious to watch. We created a network monitoring system, Peep, that replaces visual monitoring with a sonic 'ecology' of natural sounds, where each kind of sound represents a specific kind of network event. This system combines network state information from multiple data sources, by mixing audio signals into a single audio stream in real time. Using Peep, one can easily detect common network problems such as high load, excessive traffic, and email spam, by comparing sounds being played with those of a normally functioning network. This allows the system administrator to concentrate on more important things while monitoring the network via peripheral hearing.