Cost-Efficiency and Performance in Cloud Migration Strategies: An Analytical Study
ER. FNU ANTARA
, ER. APOORVA JAIN , PROF.(DR.) PUNIT GOEL
Cloud Migration • Cost-Efficiency • Performance • Operational Efficiency • Scalability • Migration Strategies • Lift-and-Shift • Re-Platforming • Re-Architecting • Cloud Service Models • Infrastructure as a Service (IaaS) • Platform as a Service (PaaS) • Software as a Service (SaaS) • Cost Management Techniques • Performance Optimization
Cloud migration has become a pivotal strategy for organizations seeking to enhance operational efficiency, scalability, and flexibility. However, the successful migration to cloud environments necessitates careful consideration of both cost-efficiency and performance. This analytical study explores the intricate balance between cost and performance in cloud migration strategies, providing valuable insights into optimizing these critical factors.
The primary objective of this study is to evaluate the cost-efficiency and performance implications of various cloud migration strategies. Cloud migration involves transitioning data, applications, and workloads from on-premises systems to cloud platforms. While the benefits of cloud computing, such as reduced capital expenditure and increased scalability, are well-documented, organizations must navigate complex decision-making processes to ensure that migration strategies align with their cost and performance goals.
The study employs a comprehensive analytical framework to assess the cost and performance impacts of different cloud migration strategies. It examines key factors such as migration methods (e.g., lift-and-shift, re-platforming, and re-architecting), cloud service models (e.g., Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)), and various cost management techniques. By analyzing real-world case studies and industry data, the research identifies best practices for achieving a cost-effective migration while maintaining or enhancing performance.
Findings indicate that cost-efficiency in cloud migration is influenced by several factors, including the choice of cloud service model, the level of optimization applied during migration, and the ongoing management of cloud resources. For example, while the lift-and-shift approach may offer lower initial migration costs, it may not always result in optimal performance or long-term cost savings. Conversely, more comprehensive strategies like re-architecting can provide significant performance improvements but may involve higher upfront costs.
Performance considerations are also critical, as organizations must ensure that cloud-based applications and workloads meet their performance requirements. The study reveals that performance optimization techniques, such as resource scaling, load balancing, and caching, play a crucial role in maintaining application performance post-migration. Additionally, the integration of automated monitoring and management tools helps in achieving a balance between cost and performance.
"Cost-Efficiency and Performance in Cloud Migration Strategies: An Analytical Study", JNRID - JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT (www.JNRID.org), ISSN:2984-8687, Vol.1, Issue 6, page no.a1-a13, June-2023, Available :https://tijer.org/JNRID/papers/JNRID2306001.pdf
Volume 1
Issue 6,
June-2023
Pages : a1-a13
Paper Reg. ID: JNRID_700575
Published Paper Id: JNRID2306001
Downloads: 000291
Research Area: Science and Technology
Country: -, -, India
ISSN: 2984-8687 | IMPACT FACTOR: 9.57 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: JNRID (IJ Publication) Janvi Wave
