A Big Data approach to enhance the integration of Access Control Policies for Web services

A Big Data approach to enhance the integration of Access Control Policies for Web services Service-oriented Architecture (SoA) is a layered architecture used to organize software resources asservices that can be deployed, discovered and combined to produce new services. The interactions between services can be affected in situations where a destination service becomes unavailable. Herein, the Protocol service is introduced as a solution to coordinate interactions between services. The method is then extended to consider the automatic assignment of access control policies by the generation of a new service, called the Access Control Policies (AC_Policies) service, which is linked to the Protocol service. In this context, the Protocol service manages a large amount of data. The analysis of such data sets may help improving the Protocol service performance. Dealing with such a large data sets is referred recently as “Big Data”, is a term related to large set of data that is complicated to be analyzed using traditional applications. One of the most successful implementations of Big Data is the Hadoop Framework. This paper proposes an extension to automate the integration of the Hadoop platform. This aims to breaks individual problems down into multiple subtasks, using a simple programming model (MapReduce). After the analysis is computed, the result is submitted to a Score table linked with the Protocol service. The approach harnesses the capability of Model-Driven Architecture (MDA) to automate the creation, and integration of the architecture. As a proof of concept, the approach is then implemented as a tool.