Multi-Technology Integration: Challenges and Solutions in Heterogeneous IT Environments
Keywords:
Multi-technology integration, Heterogeneous IT, Interoperability, Data consistency, Systems architectureAbstract
In the present digital age, companies are more and more depending on three types of computer systems—the traditional ones, those that are part of the internet, and even programs—for their businesses to remain competitive and innovative. The transformation in this sector has made it necessary to quickly join different types of new IT tools, both in terms of diversity of models and the compatibility of the systems used for efficient system interoperability. In spite of the fact that the harmony realized during homogeneity in the environment of the tools may be called for for a number of issues that have to be resolved, they can be the result of the incapability of new and old computing systems to be interoperable, synchronization of data in silos, and the use of inconsistent procedures in the aerospace industry, and a combined requirement of both; for example, security concerns, integration complexity, and the likelihood of encountering difficulties in maintaining performance and scalability are some of the circumstances that can be responsible for the technical and operational issues. These bugs, triggered by these situations, are capable of putting off and gradually moving to the top of the digital transformation plan lists. To solve the problems, enterprises are going for strategic integration frameworks, using middleware solutions and deployment of automation platforms not only to remove the gaps but also to make the communication the same everywhere. This abstract has the purpose of illustrating how companies are currently using integrations to become successful by showing the ways they connect on-premise ERP systems to cloud-based analytics and integrate IoT devices with centralized dashboards for data transmission in real time..
Downloads
References
De Schepper, T., Famaey, J., & Latré, S. (2020, April). Multi-technology management of heterogeneous wireless networks. In NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium (pp. 1-6). IEEE.
De Schepper, T. (2019). Multi-technology management of heterogeneous wireless networks (Doctoral dissertation, University of Antwerp).
Raptis, K., Spinellis, D., & Katsikas, S. (2001). Multi-technology distributed objects and their integration. Computer Standards & Interfaces, 23(3), 157-168.
Benguria, G., Alonso, J., Etxaniz, I., Orue-Echevarria, L., & Escalante, M. (2018). Agile development and operation of complex systems in multi-technology and multi-company environments: Following a DevOps approach. In Systems, Software and Services Process Improvement: 25th European Conference, EuroSPI 2018, Bilbao, Spain, September 5-7, 2018, Proceedings 25 (pp. 15-27). Springer International Publishing.
Sangaraju, Varun Varma. "AI-Augmented Test Automation: Leveraging Selenium, Cucumber, and Cypress for Scalable Testing." International Journal of Science And Engineering 7 (2021): 59-68
Granstrand, O. (2004). Multi-technology management. In The economics and management of technological diversification (pp. 321-356). Routledge.
Veluru, Sai Prasad, and Mohan Krishna Manchala. “Federated AI on Kubernetes: Orchestrating Secure and Scalable Machine Learning Pipelines”. Essex Journal of AI Ethics and Responsible Innovation, vol. 1, Mar. 2021, pp. 288-12
Foisel, H. M., Spaeth, J., Cavazzoni, C., Wessing, H., & Popov, M. (2007). MUPBED-interworking challenges in a multi-domain and multi-technology network environment. In Optical Network Design and Modeling: 11th International IFIP TC6 Conference, ONDM 2007, Athens, Greece, May 29-31, 2007. Proceedings (pp. 269-278). Springer Berlin Heidelberg.
Kupunarapu, Sujith Kumar. "AI-Enhanced Rail Network Optimization: Dynamic Route Planning and Traffic Flow Management." International Journal of Science And Engineering 7.3 (2021): 87-95.
Paidy, Pavan. “Testing Modern APIs Using OWASP API Top 10”. Essex Journal of AI Ethics and Responsible Innovation, vol. 1, Nov. 2021, pp. 313-37
Meneses, F., Corujo, D., Guimaraes, C., & Aguiar, R. L. (2017, July). An abstraction framework for flow mobility in multi-technology 5G environments using virtualization and SDN. In 2017 IEEE Conference on Network Softwarization (NetSoft) (pp. 1-5). IEEE.
Yasodhara Varma, and Manivannan Kothandaraman. “Leveraging Graph ML for Real-Time Recommendation Systems in Financial Services”. Essex Journal of AI Ethics and Responsible Innovation, vol. 1, Oct. 2021, pp. 105-28
Osorio, A. L., Gorçalves, C., Araujo, P., Barata, M., Gomes, J. S., Jacquet, G., & Dias, B. M. (2005). open multi-technology service oriented architectur for “its” business models: the ITSIBus Etoll services. In Collaborative Networks and Their Breeding Environments: IFIP TC5 WG 5.5 Sixth IFIP Working Conference on VIRTUAL ENTERPRISES, 26–28 September, 2005, Valencia, Spain 6 (pp. 439-446). Springer US.
Sangeeta Anand, and Sumeet Sharma. “Big Data Security Challenges in Government-Sponsored Health Programs: A Case Study of CHIP”. American Journal of Data Science and Artificial Intelligence Innovations, vol. 1, Apr. 2021, pp. 327-49
Le, H., Achir, N., & Boussetta, K. (2019, October). Fog computing architecture with heterogeneous Internet of Things technologies. In 2019 10th International Conference on Networks of the Future (NoF) (pp. 130-133). IEEE.
Talakola, Swetha. “Automation Best Practices for Microsoft Power BI Projects”. American Journal of Autonomous Systems and Robotics Engineering, vol. 1, May 2021, pp. 426-48
Almeida, R., Oliveira, R., Sousa, D., Luis, M., Senna, C., & Sargento, S. (2017, December). A multi-technology opportunistic platform for environmental data gathering on smart cities. In 2017 IEEE Globecom Workshops (GC Wkshps) (pp. 1-7). IEEE.
Paidy, Pavan. “Scaling Threat Modeling Effectively in Agile DevSecOps”. American Journal of Data Science and Artificial Intelligence Innovations, vol. 1, Oct. 2021, pp. 556-77
Latre, S., Leroux, P., Coenen, T., Braem, B., Ballon, P., & Demeester, P. (2016, September). City of things: An integrated and multi-technology testbed for IoT smart city experiments. In 2016 IEEE international smart cities conference (ISC2) (pp. 1-8). IEEE.
Atluri, Anusha, and Teja Puttamsetti. “Mastering Oracle HCM Post-Deployment: Strategies for Scalable and Adaptive HR Systems”. American Journal of Autonomous Systems and Robotics Engineering, vol. 1, Apr. 2021, pp. 380-01
Niemöller, J., Freiter, E., Vandikas, K., Quinet, R., Levenshteyn, R., & Fikouras, I. (2010, July). Multi-technology service composition for the telecommunication domain-concepts and experiences. In 2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies (pp. 34-41). IEEE.
Veluru, Sai Prasad. “Flink-Powered Feature Engineering: Optimizing Data Pipelines for Real-Time AI”. American Journal of Data Science and Artificial Intelligence Innovations, vol. 1, Nov. 2021, pp. 512-33
Atluri, Anusha. “Breaking Barriers With Oracle HCM: Creating Unified Solutions through Custom Integrations ”. Essex Journal of AI Ethics and Responsible Innovation, vol. 1, Aug. 2021, pp. 247-65
Liao, Z., Hannam, P. M., Xia, X., & Zhao, T. (2012). Integration of multi-technology on oil spill emergency preparedness. Marine pollution bulletin, 64(10), 2117-2128.
Ali Asghar Mehdi Syed. “Impact of DevOps Automation on IT Infrastructure Management: Evaluating the Role of Ansible in Modern DevOps Pipelines”. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), vol. 9, no. 1, May 2021, pp. 56–73
Talakola, Swetha. “Comprehensive Testing Procedures”. International Journal of AI, BigData, Computational and Management Studies, vol. 2, no. 1, Mar. 2021, pp. 36-46
Wallace, B., Hills, R., Rothwell, J., Kumar, D., Garber, I., van Roode, T., ... & Hore, D. (2021). Implementing an integrated multi‐technology platform for drug checking: Social, scientific, and technological considerations. Drug Testing and Analysis, 13(4), 734-746.
Baranda, J., Mangues-Bafalluy, J., Pascual, I., Nunez-Martinez, J., De La Cruz, J. L., Casellas, R., ... & Turyagyenda, C. (2018). Orchestration of end-to-end network services in the 5G-crosshaul multi-domain multi-technology transport network. IEEE Communications Magazine, 56(7), 184-191.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
