This paper is published in Volume-5, Issue-3, 2019
Area
Information Technology
Author
Anumita Sinha
Co-authors
Nishi Mehta, Pramod Bhakta, Era Johri
Org/Univ
K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India
Pub. Date
14 May, 2019
Paper ID
V5I3-1302
Publisher
Keywords
Service integration, Integrating and standardizing applications, Normalize data, Context-aware, Web service, UDDI, REST API, WS-QoS, tModel

Citationsacebook

IEEE
Anumita Sinha, Nishi Mehta, Pramod Bhakta, Era Johri. On the fly integration of applications using context aware approach, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anumita Sinha, Nishi Mehta, Pramod Bhakta, Era Johri (2019). On the fly integration of applications using context aware approach. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Anumita Sinha, Nishi Mehta, Pramod Bhakta, Era Johri. "On the fly integration of applications using context aware approach." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

IT Applications have dominated every sector making the services online, there is a heartfelt need to standardize these applications so as when these applications when work in conjugation give better results real time for any kind of queries of customers maintaining levels of abstraction and information hiding. This paper aims at proposing a model for the on fly integration of the applications using context-aware self-adaptation approach for application service to cater to the need to integrate the data and services provided by the various applications. Our research within this direction has depicted the characteristics of the existing information and application systems primarily of the QoS Broker Architecture and Service Oriented Architecture. The latter part of this paper proposes an architectural model to describe the fly culmination of services by standardizing it and providing the result of a query using the context-aware engine. The aim of this paper is to study the existing systems, identify drawbacks and improve systems integrations to achieve an optimized and dynamic platform for real-time query processing.
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