Tag: leading house

Smart Cloud Log File Compression

Software developers and service operators need log files to identify issues, detect anomalies and trace execution behaviour. The amount of generated log data is increasing, and often log files need to be kept for longer periods of time due to regulations. To preserve logs in a cost-efficient manner, they are typically compressed, at certain cost for running the compression, and then stored in long-term archives, again at certain cost per size-duration products. The goal is decrease both cost components, but there are certain trade-offs, for instance a highly efficient compression that consumes a lot of CPU but leads to better compression ratios, consuming less storage capacity as a result. The decision which compression tools and parameters to use is usually hardcoded. We present a smart knowledge-based advisor service to query goal-based adaptive compression commands to maximise savings.

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Research Slam on «Fog-Cloud Continuum Framework» and other Swiss-Latin American cooperation projects

The University of St. Gallen, through its Latin-American-Swiss Center (CLS-HSG), is the Leading House for the Latin American region, granting incentives and developing joint research cooperation projects with numerous Latin American countries. One of the grant recipients is the Service Prototyping Lab at Zurich University of Applied Sciences, bringing programmability to fog-cloud continuum computing with its parters from UNICAMP in Brazil. In this blog post, a recent research slam featuring this and other chosen projects is summarised.

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