Benchmarking Correctness of Operations in Big Data Applications

With a wide variety of big data applications, the past few years have witnessed an increasing number of data stores with novel design decisions that may sacrifice the correctness of an application´s operations to enhance performance. This paper presents our work-in-progress on a framework that generates a validation component. The input to the framework is the characteristics of an application. Its output is a validation module that plugs-in to either an application or a benchmark to measure the amount of unpredictable data produced by a data store.