Toward variability management to tailor high dimensional index implementations

The increasing amount of complex data requires a solution to store and query these data efficiently. One possibility to speed-up various query types is the application of high dimensional index structures. In prior work, we introduced QuEval as platform to evaluate these indexes for user-defined use cases. Our design allows to easily extend QuEval with new index structure implementations. However, based on our experiences, we encountered severe challenges by tailoring index structure implementations to specific use cases. In particular, we face challenges to manage several similar implementation variants of the same index. In this paper, we consequently show benefits and drawbacks that emphasize the necessity to tailor index structure implementations with the help of a short evaluation study. Finally, we outline approaches for adequate variability management to address the aforementioned drawbacks.