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This folder contains SLASH, the research prototype implementation of Serverless Apache Spark Hub. To make it run, install the dependencies for OpenStack access, e.g.: % sudo apt-get install python3-novaclient SLASH consists of three components: The Python module 'slash' which augments 'pyspark' magically with reactive autoscaling capabilities, the 'slashhub' which collects on-demand scaling actions to calculate reactive autoscaling in conjunction with predictive ones, and the 'slashjobserver' which executes the calendar scheduling and forecasting. A calendar file is expected as 'calendar' with dates or date ranges per line. Furthermore, the functionality is determined by environment variables: OS_* (see openstackclient.py for a list) and SLASH pointing 'slash' to the node running 'slashhub' on port 11111.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 11 | |
| downloads | 2 |

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