Tag: analytics

HDocker and Docker Image Analysis Accepted for DAIS 2021

We conducted joint work with Université de Neuchâtel on improving the handling of Docker container images in the increasingly heterogeneous hardware environments. We propose to (1) finer-grained incorporate hardware dependency information in the image metadata, (2) leveraging heuristic analysis techniques to populate such information at large scale (although of course preferring properly curated metadata), and (3) improving the tool support around container creation from images. The work has led to new tools like hdocker and heuristic analysis rules. Furthermore, to underline the need for such a solution, we have been conducting a long-term tracking over fourteen now seventeen months of selected subsets of registered Docker container images.

This work has been accepted by the 21st International Conference on Distributed Applications and Interoperable Systems (DAIS 2021). Ahead of the event we already provide the collected data and code. Have a look!

Financial Analytics with Cloud Functions

As we have recently been granted Google Cloud Research Credits for the investigation of Serverless Data Integration, we continue our exploration of open and public data. This HOWTO-style blog post presents the application domain of financial analytics and explains how to run a cloud function to achieve elastically scalable analytics. Although there are no research results to report yet, it raises a couple of interesting challenges that we or other computer scientists should work on in the future.

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