Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

A Survey on Hybrid and Multi-Cloud Environments: Integration Strategies, Challenges, and Future Directions

View through CrossRef
The rapid evolution of cloud computing has led organizations to adopt hybrid and multi-cloud environments to meet increasing demands for scalability, flexibility, and resilience. While these environments provide significant benefits, they introduce unique challenges, including interoperability, data consistency, security, and vendor lock-in. This survey comprehensively reviews deployment architectures, integration strategies, middleware roles, and the challenges associated with multi-vendor cloud systems. The survey results reveal that middleware plays a critical role in enabling seamless communication, abstraction, orchestration, and maintainability across heterogeneous cloud platforms. Widely adopted integration strategies identified include API-driven integration, service-oriented architectures (SOA), containerization with orchestration, cloud brokers, and Middleware-as-a-Service (MWaaS). These strategies effectively mitigate heterogeneity, support workload portability, and enhance security, thereby enabling scalable and resilient multi-cloud deployments. Additionally, the survey highlights the operational complexities and open research challenges, emphasizing the need for standardized interfaces, unified governance frameworks, and automated management solutions. The findings provide a roadmap for enterprises to implement robust multi-cloud integration frameworks while addressing operational, security, and compliance requirements. This study contributes to a deeper understanding of hybrid and multi-cloud ecosystems, guiding future research toward adaptive middleware, AI-driven orchestration, and edge-cloud integration for enhanced performance, flexibility, and secure adoption.
Title: A Survey on Hybrid and Multi-Cloud Environments: Integration Strategies, Challenges, and Future Directions
Description:
The rapid evolution of cloud computing has led organizations to adopt hybrid and multi-cloud environments to meet increasing demands for scalability, flexibility, and resilience.
While these environments provide significant benefits, they introduce unique challenges, including interoperability, data consistency, security, and vendor lock-in.
This survey comprehensively reviews deployment architectures, integration strategies, middleware roles, and the challenges associated with multi-vendor cloud systems.
The survey results reveal that middleware plays a critical role in enabling seamless communication, abstraction, orchestration, and maintainability across heterogeneous cloud platforms.
Widely adopted integration strategies identified include API-driven integration, service-oriented architectures (SOA), containerization with orchestration, cloud brokers, and Middleware-as-a-Service (MWaaS).
These strategies effectively mitigate heterogeneity, support workload portability, and enhance security, thereby enabling scalable and resilient multi-cloud deployments.
Additionally, the survey highlights the operational complexities and open research challenges, emphasizing the need for standardized interfaces, unified governance frameworks, and automated management solutions.
The findings provide a roadmap for enterprises to implement robust multi-cloud integration frameworks while addressing operational, security, and compliance requirements.
This study contributes to a deeper understanding of hybrid and multi-cloud ecosystems, guiding future research toward adaptive middleware, AI-driven orchestration, and edge-cloud integration for enhanced performance, flexibility, and secure adoption.

Related Results

Hybrid Cloud Scheduling Method for Cloud Bursting
Hybrid Cloud Scheduling Method for Cloud Bursting
In the paper, we consider the hybrid cloud model used for cloud bursting, when the computational capacity of the private cloud provider is insufficient to deal with the peak number...
AI-driven zero-touch orchestration of edge-cloud services
AI-driven zero-touch orchestration of edge-cloud services
(English) 6G networks demand orchestration systems capable of managing thousands of distributed microservices under sub-millisecond latency constraints. Traditional centralized app...
Leveraging Artificial Intelligence for smart cloud migration, reducing cost and enhancing efficiency
Leveraging Artificial Intelligence for smart cloud migration, reducing cost and enhancing efficiency
Cloud computing has become a critical component of modern IT infrastructure, offering businesses scalability, flexibility, and cost efficiency. Unoptimized cloud migration strategi...
Effective Strategies for Managing Multi-Cloud Salesforce Solutions
Effective Strategies for Managing Multi-Cloud Salesforce Solutions
Businesses are using multi-cloud solutions to improve flexibility, scalability, and efficiency in today's dynamic environment. Salesforce, a prominent CRM platform, is crucial to m...
THE IMPACT OF CLOUD COMPUTING ON CONSTRUCTION PROJECT DELIVERY ABUJA NIGERIA
THE IMPACT OF CLOUD COMPUTING ON CONSTRUCTION PROJECT DELIVERY ABUJA NIGERIA
Cloud computing is the delivery of computing services, such as storage, processing power, and software applications, via the internet. Cloud computing offers various advantages and...
Developing a Cloud Computing Framework for University Libraries
Developing a Cloud Computing Framework for University Libraries
Our understanding of the library context on security challenges on storing research output on the cloud is inadequate and incomplete. Existing research has mostly focused on profit...
A baseline cloud climatology for Aotearoa New Zealand and the Southwest Pacific region 
A baseline cloud climatology for Aotearoa New Zealand and the Southwest Pacific region 
This study presents a cloud climatology over Aotearoa New Zealand and the surrounding Southwest Pacific Ocean region (140-210°E, 10-70°S) using satellite observations, ground measu...
Supporting cloud resource allocation in configurable business process models
Supporting cloud resource allocation in configurable business process models
Supporter l'allocation des ressources cloud dans les processus métiers configurables Les organisations adoptent de plus en plus les Systèmes (PAIS) pour gérer leurs...

Back to Top