Abstract

At present, the use of middleware technologies has been observed to be used by the companies for successful enterprise application integration (EAI). The EAI can helps in integrating the data and information relating to the systems. Thus, the study focuses on highlighting a brief overview of the EAI along with its architecture. The study has also focused on providing a concise description of all the middleware technologies and the frameworks of cloud computing. In addition, the research study has also focused on using qualitative approach collecting data and information for obtaining data relating to the middleware technologies with respect to the cloud computing and its alignment with EAI. Thus, it can be stated that the use of the middleware technologies can significantly help the companies to cloud computing framework.

Highlights

  • Enterprise application integration (EAI) is better understood as a technical term, which has been used since the early 2000s

  • Considering the present trends and challenges witnessed in enterprise application integration (EAI), this research paper aimed at developing insights to various middleware technologies that are used for cloud computing frameworks on the behalf of efficient EAI form

  • Based on the findings retrieved from literature review and secondary sources, it has been evident that the modern business corporations are more inclined towards using middleware technologies for cloud computing frameworks from the perspective of EAI

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Summary

Introduction

Enterprise application integration (EAI) is better understood as a technical term, which has been used since the early 2000s. It is an approach, which helps in offering interoperability amid numerous disparate mechanisms that eventually form a distinctive enterprise infrastructure (MuleSoft Inc., 2018). Some of the middleware technologies include message oriented middleware (MOM), transaction processing (TP) monitors, and object request broker (ORB) among others. These middleware technologies are identified to be used in the frameworks of cloud computing from the standpoint of successful EAI (Kalyani, 2012)

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