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Optimizing Cloud Migration for SAP-based Systems
Subject area: Science,Engineering and Technology · Area of research: Cloud Migration
Abstract
Cloud migration has become a pivotal strategy for enterprises seeking agility, scalability, and cost-efficiency. This paper focuses on the optimization of cloud migration for SAP-based systems, aiming to address the complexities and challenges associated with transitioning these mission-critical applications. Migrating SAP systems to the cloud involves several intricacies, such as data integrity, security, system downtime, and performance management. Optimizing the migration process ensures minimal disruption to operations while maximizing the benefits of cloud technology, including improved flexibility, real-time processing, and cost control. This study explores key strategies for seamless SAP cloud migration, emphasizing pre-migration assessments, workload analysis, and the selection of appropriate cloud environments (public, private, or hybrid). It highlights the role of automation tools, such as SAP Cloud Platform Integration (CPI) and Cloud Application Migration Services (CAMS), in reducing manual effort and accelerating the transition. Additionally, the paper discusses data management techniques to maintain data consistency and reliability during migration, along with security protocols to ensure compliance and protect sensitive information. Furthermore, the optimization framework includes phased migration approaches, pilot testing, and robust monitoring mechanisms to detect and resolve potential issues in real-time. The importance of aligning SAP systems with cloud-native architectures for enhanced scalability and performance is also addressed. This research aims to provide organizations with actionable insights and best practices for efficient cloud migration, ensuring that SAP systems not only function optimally post-migration but also leverage the full potential of the cloud ecosystem for future growth.
Keywords
SAP cloud migration, optimization strategies, workload analysis, cloud-native architecture, data management, SAP Cloud Platform Integration, automation tools, phased migration, system performance, security protocols, cloud scalability, real-time processing, hybrid cloud environments.
How to cite this paper
@article{1702989,
author = {Sridhar Jampani, Aravindsundeep Musunuri, Pranav Murthy, Om Goel, Prof. (Dr.) Arpit Jain; Dr. Lalit Kumar},
title = {Optimizing Cloud Migration for SAP-based Systems},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {5},
number = {5},
pages = {306-327},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702989.pdf},
abstract = {Cloud migration has become a pivotal strategy for enterprises seeking agility, scalability, and cost-efficiency. This paper focuses on the optimization of cloud migration for SAP-based systems, aiming to address the complexities and challenges associated with transitioning these mission-critical applications. Migrating SAP systems to the cloud involves several intricacies, such as data integrity, security, system downtime, and performance management. Optimizing the migration process ensures minimal disruption to operations while maximizing the benefits of cloud technology, including improved flexibility, real-time processing, and cost control.
This study explores key strategies for seamless SAP cloud migration, emphasizing pre-migration assessments, workload analysis, and the selection of appropriate cloud environments (public, private, or hybrid). It highlights the role of automation tools, such as SAP Cloud Platform Integration (CPI) and Cloud Application Migration Services (CAMS), in reducing manual effort and accelerating the transition. Additionally, the paper discusses data management techniques to maintain data consistency and reliability during migration, along with security protocols to ensure compliance and protect sensitive information.
Furthermore, the optimization framework includes phased migration approaches, pilot testing, and robust monitoring mechanisms to detect and resolve potential issues in real-time. The importance of aligning SAP systems with cloud-native architectures for enhanced scalability and performance is also addressed. This research aims to provide organizations with actionable insights and best practices for efficient cloud migration, ensuring that SAP systems not only function optimally post-migration but also leverage the full potential of the cloud ecosystem for future growth.},
keywords = {SAP cloud migration, optimization strategies, workload analysis, cloud-native architecture, data management, SAP Cloud Platform Integration, automation tools, phased migration, system performance, security protocols, cloud scalability, real-time processing, hybrid cloud environments.},
month = {November},
}