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DataMill: a distributed heterogeneous infrastructure forrobust experimentation
2015
Software, Practice & Experience
Empirical systems research is facing a dilemma. Minor aspects of an experimental setup can have a significant impact on its associated performance measurements and potentially invalidate conclusions drawn from them. Examples of such influences, often called hidden factors, include binary link order, process environment size, compiler generated randomized symbol names, or group scheduler assignments. The growth in complexity and size of modern systems will further aggravate this dilemma,
doi:10.1002/spe.2382
fatcat:joemppub6nhbzounxaejuomjai