Report on the First International Workshop on Incremental Re-computation

Abstract

In the last decade, advances in computing have deeply transformed data processing. Increasingly systems aim to process massive amounts of data efficiently, often with fast response times that are typically characterised by the 4V's, i.e., Volume, Variety, Velocity, and Veracity. While fast data processing is desirable, it is also often the case that the outcomes of computationally expensive processes become obsolete over time, due to changes in inputs, reference datasets, tools, libraries, and deployment environment. Given massive data processing, such changes must be carefully accounted for, and their impact on original computation assessed, to determine how much re-computation is needed in response to changes.