Computation and Visualization of Planning Alternatives in the Adaptation in iObserve

Preliminary

In iObserve we want to combine the self-adaption of system with operator-based selection of planning alternatives. These alternatives may be chosen if no rules could be applied to react to a situation or if the operator has domain specific knowledge of future workloads, e.g. an upcoming sale or some forecasts from other components. A goal for iObserve is to give the operator some alternatives at hand that can be computed through monitoring data and complemented with certain parameters. In this task, you will implement some filter in the Pipe-and-Filter architecture of iObserve, which solve this planning problem. This problem was already solved by: KAMP
Additionally, this planing needs a visualization (which may be included here).

Related Repositories

https://github.com/research-iobserve/iobserve-analysis
https://github.com/research-iobserve/iobserve-ui-deployment

Documentation

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