Paper Info
Title
Model transformations of MapReduce Design Patterns for automatic development and verification.
Abstract
Mapping MapReduce frameworks to Cloud Architecture became a must in last years because of the need of managing large data sets and Big Data in fast, reliable (and as cheap as possible) way. Scientific Literature proposes many works about new architectures, frameworks and algorithms improving and optimizing performances while performing MapReduce operations. Anyway, MapReduce framework is only the starting point for building a plethora of services based on different analyses. This is the reason for recent application of Design Patterns methodologies to develop MapReduce applications. Here we propose a Model Driven Engineering methodology to design, verify and develop MapReduce applications on Cloud Systems. The methodology is driven by MapReduce Design Patterns and is used to analyse soundness and reliability of services based on MapReduce from early design stage to runtime.
Year
DOI
Venue
2017
10.1016/j.jpdc.2016.12.017
Journal of Parallel and Distributed Computing
Keywords
Field
DocType
Cloud computing,Cloud patterns,Formal verification,MapReduce,Model driven engineering
Scientific literature,Cloud systems,Computer science,Model-driven architecture,Parallel computing,Software design pattern,Soundness,Big data,Distributed computing,Formal verification,Cloud computing
Journal
Volume
ISSN
Citations 
110
0743-7315
0
PageRank 
References 
Authors
0.34
23
2
Name
Order
Citations
PageRank
Flora Amato145866.48
Francesco Moscato229832.28