Multi-Cloud Federated Computing: Optimizing Cost, Performance, and Disaster Recovery Across AWS, Azure, and GCP

Subhasis Kundu

doi:10.71097/IJSAT.v12.i2.2817

Multi-Cloud Federated Computing: Optimizing Cost, Performance, and Disaster Recovery Across AWS, Azure, and GCP

Author(s)	Subhasis Kundu
Country	United States
Abstract	This study investigates the concept of multi-cloud federated computing, with a focus on optimizing cost, performance, and disaster recovery across Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP). This study introduces a vendor-agnostic cloud framework designed to enable seamless interoperability and enhance resilience by capitalizing on the strengths of multiple platforms while addressing their respective limitations. This study examined cost optimization strategies, including resource allocation and management, pricing model comparisons, and automated cost optimization techniques. Performance enhancement methodologies, such as load balancing across clouds, data locality and latency reduction, and workload optimization and distribution, have also been explored. Furthermore, this study analyzes disaster recovery and resilience aspects, encompassing multi-cloud backup and replication, failover, and recovery strategies, and ensuring data consistency across clouds. The proposed architecture demonstrates significant improvements in the overall system efficiency, reliability, and cost-effectiveness compared to single-cloud solutions. This research contributes to the evolving field of cloud computing by offering a comprehensive approach to multi-cloud federation, paving the way for more resilient and flexible cloud infrastructure. The findings underscore the importance of adopting multi-cloud strategies to optimize resource utilization, enhance performance, and improve disaster recovery capabilities in an increasingly complex and dynamic cloud-computing landscape.
Keywords	: Multi-Cloud Federation, Cost Optimization, Performance Enhancement, Disaster Recovery, Cloud Interoperability, Vendor-Agnostic Framework, Cloud Resilience, Resource Allocation, Load Balancing, Data Consistency
Field	Engineering
Published In	Volume 12, Issue 2, April-June 2021
Published On	2021-05-06
Cite This	Multi-Cloud Federated Computing: Optimizing Cost, Performance, and Disaster Recovery Across AWS, Azure, and GCP - Subhasis Kundu - IJSAT Volume 12, Issue 2, April-June 2021. DOI 10.71097/IJSAT.v12.i2.2817
DOI	https://doi.org/10.71097/IJSAT.v12.i2.2817
Short DOI	https://doi.org/g899fh

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Multi-Cloud Federated Computing: Optimizing Cost, Performance, and Disaster Recovery Across AWS, Azure, and GCP

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