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Distributed dataflow systems like Spark or Flink enable users to analyze large datasets. Users create programs by providing sequential user-defined functions for a set of well-defined operations, select a set of resources, and the systems automatically distribute the jobs across these resources. However, selecting resources for specific performance needs is inherently difficult and users consequently...
Using service level agreements (SLAs) is a central concept for the grid commercialization since customers require guarantees for a successful job execution. However, agreeing on SLAs is a business risk for resource providers: system failures can lead to paying tremendous penalties. Accordingly, resource providers require an estimation about the risk of agreeing on an SLA. Furthermore, risks can be...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.