QUALITATIVE FEATURES OF SOA: RESEARCH VACANCIES AND MULTIDISCIPLINARY RESEARCH APPROACHES

Authors

  • Dikshendra Daulat Sarpate Author
  • B. Sankaraiah Author
  • B.Rani Author
  • Vemula Nikitha Author
  • Dr. Syed Umar Author

DOI:

https://doi.org/10.65009/4p890v74

Keywords:

service-oriented, architecture design, energy consumption, enterprise service bus Quality of Experience (QoE), Quality of Protection (QoP).,,

Abstract

This service era's primary architectural style is known as Service-Oriented Architecture 
(SOA), which enables heterogeneous distributed systems to communicate with one another by exposing 
their application functionality as a service. SOA offers a number of advantages, including high 
interoperability, loose coupling, low cost, and agility.  Moreover, it fosters the development of legacy 
systems and the rapid integration of those systems.  The growing popularity of this architectural style 
encourages the utilization of the quality attribute conception in the process of developing and managing 
services that are based on quality.  Since this technology is not dependent on any one platform, businesses 
and academic institutions are working together to create more intriguing transdisciplinary solutions that 
make use of the integration and interoperability capabilities of service-oriented architecture (SOA).  The 
primary objective of this work is to examine the gaps in research and to highlight the multidisciplinary 
breakthroughs that have occurred in SOA Quality Attributes. 
 It is becoming increasingly popular to use service-oriented architecture as a design because of the benefits 
it offers in terms of flexibility and reusability.  Through a discussion of service-oriented theory and 
associated techniques, this study constructs a service-oriented system modeling approach of a petroleum 
company on energy consumption. The methodology is founded on the concept of energy consumption.  
Service users are able to invoke the services that are released on the enterprise service bus of the 
architecture model based on their specific business requirements. This is accomplished by releasing the 
services on the enterprise service bus.  According to the findings of the system's deployment, the proposed 
architecture of the system that is presented in this article is feasible.  

,

References

M.H.I. Hamzah, F. Baharom, H. Mohd, An exploratory study for investigating the issues and

current practices of service-oriented architecture adoption, J. Inf. Commun. Technol. 18 (3) (2019)

–304, http://dx.doi.org/10.32890/jict2019.18.3.3.

Naveen Sai Bommina, Uppu Lokesh, Nandipati Sai Akash, Dr. Hussain Syed, Dr. Syed Umar,

"Optimizing AI-Driven Security Protocols in IoT Networks Using Metaheuristic Algorithms",

International Journal of Intelligent Systems and Applications in Engineering, IJISAE, 2024,

(23s), 3339–3347.

RS Supriya Khaitan, Divya Rohatgi, Sana Nalband, Tejali Mhatre, Shweta Patil, "Enhancing

Essay Grading Efficiency and Consistency through Two-Layer LSTM Models and Attention

Mechanisms", Journal of Information Systems Engineering and Management 10 (2), 191-202.

Habeeb, M. S., & Babu, T. R. (2024). Coarse and fine feature selection for network intrusion

detection systems (IDS) in IoT networks. Transactions on Emerging Telecommunications

Technologies, 35(4), e4961.

J. Puttonen, A. Lobov, M.A.C. Soto, J.L.M. Lastra, Cloud computing as a facilitator for web

service composition in factory automation, J. Intell. Manuf. 30 (2) (2019) 687–700,

http://dx.doi.org/10.1007/s10845-016-1277-z.

Umar, Syed, Bommina Naveen Sai, Nagineni Sai Lasya,Doppalapudi Asutosh, and LohithaRani.

"Machine Learning based Sentiment Analysis of Product Reviews Using DeepEmbedding."

Journal of Optoelectronics Laser 41, no. 6(2022): 108-113.

M. Abdellatif, G. Hecht, H. Mili, G. Elboussaidi, N. Moha, A. Shatnawi, Y.-G. Guéhéneuc, State

of the practice in service identification for SOA migration in industry, in: Service-Oriented

Computing. ICSOC 2018, in:Lecture Notes in Computer Science, vol. 11236, Springer, Cham,

, pp. 634–650, http://dx.doi.org/10.1007/978-3-030-03596-9_46.

Nandipati Sai Akash, Naveen Sai Bommina, Uppu Lokesh, Hussain Syed, Syed Umar,

"Optimized Block Chain-Enabled Security Mechanism for IoT Using Ant Colony Optimization",

International Journal on Recent and Innovation Trends in Computing and Communication, (2023),

(10), 1226–1233.

D Veerendra, BN Umesh, A Khandare, D Rohatgi, K Tiwari, S Datta, "ECA-MURE algorithm

and CRB analysis for high-precision DOA estimation in coprime sensor arrays", IEEE Sensors

Letters 7 (12), 1-4.

O. Alsaryrah, I. Mashal, T.-Y. Chung, Energy-aware services composition for Internet of Things,

in: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), (Vol. 2018, IEEE, 2018, pp.

–608, http://dx.doi.org/10.1109/WF-IoT.2018.8355213.

Naveen Sai Bommina, Uppu Lokesh, Nandipati Sai Akash, Dr. Hussain Syed, Dr. Syed Umar,

"Optimized AI Models for Real-Time Cyberattack Detection in Smart Homes and Cities",

International Journal of Applied Engineering & Technology, Vol. 4 No.1, June, 2022.

P. Gupta, T.P. Mokal, D.D. Shah, K.V.V. Satyanarayana, Event-driven SOA-based iot

architecture, in: International Conference on Intelligent Computing and Applications. Advances

in

Intelligent Systems and Computing, Springer, Singapore, 2018, pp. 247–258,

http://dx.doi.org/10.1007/978-981-10-5520-1_24.

Habeeb, M. S., & Babu, T. R. (2022). Network intrusion detection system: a survey on artificial

intelligence‐based techniques. Expert Systems, 39(9), e13066.

Naveen Sai Bommina , Nandipati Sai Akash, Uppu Lokesh , Dr. Hussain Syed , Dr. Syed Umar,

"Multi-Objective Genetic Algorithms for Secure Routing and Data Privacy in IoT Networks",

International Journal of Communication Networks and Information Security (IJCNIS), (2020),

(3), 632–643.

R. Gnanakumaran, Divya Rohatgi, A K Sampath, Nidhi Nagar, D. Amuthaguka, Raj Kumar

Gupta, "Robust Extreme Learning Machine based Sentiment Analysis and Classification", 2023

th International Conference on Smart Systems and Inventive Technology (ICSSIT), (2023), DOI:

1109/ICSSIT55814.2023.10061017.

Habeeb, M. S., & Babu, T. R. (2024). MS-CFFS: Multistage Coarse and Fine Feature Selection

for Advanced Anomaly Detection in IoT Security Networks. International Journal of Electrical

and Electronics Research, 12(3), 780-790.

Nandipati Sai Akash, Uppu Lokesh, Naveen Sai Bommina, Hussain Syed, Syed Umar, "Swarm

Intelligence-Based Hyperparameter Optimization for AI-Powered IoT Threat Detection",

International Journal of Intelligent Systems and Applications in Engineering, (2024), 12(17s),

in

G. Rodríguez, J.A. Díaz-Pace, Á. Soria, A case-based reasoning approach to reuse quality-driven

designs

service-oriented

architectures,

http://dx.doi.org/10.1016/j.is.2018.06.003.

Downloads.

Published

2025-11-01

How to Cite

QUALITATIVE FEATURES OF SOA: RESEARCH VACANCIES AND MULTIDISCIPLINARY RESEARCH APPROACHES . (2025). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 3(4), 43-48. https://doi.org/10.65009/4p890v74