In this paper, we propose m2r2, an extensible and language-independent framework for results materialization and reuse in high-level dataflow systems for big ...

Abstract—High-level parallel dataflow systems, such as Pig and Hive, have lately gained great popularity in the area of big data processing.

In this paper, we propose m2r2, an extensible and language-independent framework for results materialization and reuse in high-level dataflow systems for big ...

In this paper, we propose m2r2, an extensible and language-independent framework for results materialization and reuse in high-level dataflow systems for big ...

May 16, 2014 · In this paper, we propose m2r2, an extensible and language-independent framework for results materialization and reuse in high-level dataflow ...

Jan 9, 2016 · This document presents m2r2, a framework for materializing and reusing results in high-level dataflow systems for big data.

IEEE Transactions on Knowledge and Data Engineering 30 (2), 305-324, 2018 ... m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow ...

m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow. Systems for Big Data. Vasiliki Kalavri, Hui Shang, Vladimir Vlassov. 16th ...

m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data. In: : . Paper presented at 2nd International Conference ...

Database management system engines. Recommendations. m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data. CSE ...