Cloud Migrationmodeler: A Comprehensive Study on Cloud Migration and Roi Evaluation

  • Durani Mahirkhan
  • Yashi Joshi Pankti Patel
  • Hriday Jyoti Patgiri Dasari Pavan Kumar
  • Mareboina Kalyani
  • Somala Charan Sai Ram Rathod
  • Gautam Sahani
  • Prof. Hardik Parmar
Keywords: Cloud computing, return on investment (ROI), Cloud MigrationModeler,, Azure App Service P5mv3

Abstract

Cloud computing has revolutionized the landscape of modern IT infrastructure, offering unprecedented access to computing resources and scalability.Despite the increasing prevalence of cloud migration initiatives, a significant research gap exists in the development of comprehensive frameworks that address the multifaceted challenges of cloud migration. Existing models often overlook crucial factors such as return on investment (ROI) evaluation, risk assessment, and alignment with business objectives.This paper introduces Cloud MigrationModeler, a model-based methodology addressing this gap by facilitating the transition of enterprise systems to cloud environments. Comprising seven distinct phases, Cloud MigrationModeler encompasses tasks ranging from initial inspection to framework testing and assessment. This paper delves into the financial implications of migration to cloud-based infrastructure, using the Azure App Service P5mv3 plan as a focal point. Through a detailed cost analysis, we aim to assess the potential ROI and strategic benefits associated with this migration. By meticulously calculating the cost differentials and efficiency gains, we offer unparalleled insights into the tangible financial benefits of embracing cloud-based solutions. Together, the introduction of Cloud MigrationModeler and the detailed ROI analysis underscore the pivotal role of research-driven methodologies and data-driven insights in guiding organizations towards successful cloud migration endeavors.This analysis underscores the necessity for a standardized migration framework and strategies.

Author Biographies

Durani Mahirkhan

Faculty of IT & Computer Science, Parul University, Vadodara, India

Yashi Joshi Pankti Patel

Faculty of IT & Computer Science, Parul University, Vadodara, India

Hriday Jyoti Patgiri Dasari Pavan Kumar

Faculty of IT & Computer Science, Parul University, Vadodara, India

Mareboina Kalyani

Faculty of IT & Computer Science, Parul University, Vadodara, India

Somala Charan Sai Ram Rathod

Faculty of IT & Computer Science, Parul University, Vadodara, India

Gautam Sahani

Faculty of IT & Computer Science, Parul University, Vadodara, India

Prof. Hardik Parmar

Faculty of IT & Computer Science, Parul University, Vadodara, India

References

[1] Shankaranarayana, Koushik & Patil, Annapurna. (2022). Exploring Live Cloud Migration on Amazon S3 Instance Using InterCloudFramework. 10.1007/978-981-16-4369-9_23.
[2] Satpathy, Anurag & Sahoo, Manmath& Mishra, Ashutosh & Majhi, Banshidhar& Rodrigues, Joel &Bakshi, Sambit. (2021). A Service Sustainable Live Migration Strategy for Multiple Virtual Machines in Cloud Data Centers. Big Data Research. 25. 100213. 10.1016/j.bdr.2021.100213.
[3] Alharthi, Dalal. (2023). Secure Cloud Migration Strategy (SCMS): A Safe Journey to the Cloud.
[4] Hasan, Muhammad Hafiz & Osman, Mohd Hafeez &Admodisastro, Novia & Muhammad, Sufri. (2023). Legacy systems to cloud migration: A review from the architectural perspective. Journal of Systems and Software. 202. 111702. 10.1016/j.jss.2023.111702.
[5] Mahendra, NaufalIzza and Rizal FathoniAji. “Legacy System to Cloud Migration Method Design: Case Study of PT XYZ A System Integrator Company.” (2023).
[6] Opara-Martins, Justice. (2023). Perspective Chapter: Cloud Lock-in Parameters – Service Adoption and Migration. 10.5772/intechopen.109601.
[7] Mansour, Ibrahim &Bouchachia, Hamid & Cooper, Kendra. (2017). Exploring Live Cloud Migration on Amazon EC2. 366-371. 10.1109/FiCloud.2017.20.
[8] Wang, Zhixiao& Yan, Wenyao& Wang, Wendong. (2020). Revisiting Cloud Migration: Strategies and Methods. Journal of Physics: Conference Series. 1575. 012232. 10.1088/1742-6596/1575/1/012232.
[9] Abbas, Zafer & Edward, Emily. (2023). Cloud Migration Strategies: Moving Applications and Workloads to the Cloud.
[10] Bairysetti, Prasad &Peddi, Prasadu&Pappala, Suneel &Ijmtst, Editor. (2023). Database Migration Services in Cloud Services. International Journal for Modern Trends in Science and Technology. 9. 35-40. 10.46501/IJMTST0909007.
[11] Hernandez, R. Carlos. Evaluating the ROI of Cloud Migration Amdocs Global Services. 2020. https://www.amdocs.com/sites/default/files/2021-07/evaluating-the-ROI-of-cloud-migration-whitepaper.pdf
[12] Golec, Darko &Strugar, Ivan &Belak, Drago. (2021). The Benefits of Enterprise Data Warehouse Implementation in Cloud vs. On-premises. ENTRENOVA - ENTerpriseREsearchInNOVAtion. 7. 67-76. 10.54820/DMZS9230.
[13] Abdulmohson, Abdulhussein&Kadhim, Mohammed &Anssari, Othman & Al-Jobouri, Ahmed. (2022). Cost analysis of on-premise versus cloud-based implementation of moodle in Kufa University during the pandemic. Indonesian Journal of Electrical Engineering and Computer Science. 25. 1787. 10.11591/ijeecs.v25.i3.pp1787-1794.
Published
2024-09-20
How to Cite
Durani Mahirkhan, Yashi Joshi Pankti Patel, Hriday Jyoti Patgiri Dasari Pavan Kumar, Mareboina Kalyani, Somala Charan Sai Ram Rathod, Gautam Sahani, & Prof. Hardik Parmar. (2024). Cloud Migrationmodeler: A Comprehensive Study on Cloud Migration and Roi Evaluation. Revista Electronica De Veterinaria, 25(2), 1648-1654. https://doi.org/10.69980/redvet.v25i2.1928