Cloud Federation Platform for Seamless Resource Migration
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Solution Overview
Problem
Cloud computing environments face challenges in efficiently bridging and managing computing resources across disparate platforms and clouds, leading to issues with capacity planning, resource optimization, security, interoperability, and billing, due to the heterogeneity of computing resources and varying peak demands among enterprises.
Innovation Solution
The solution involves generating an image of the host system that can be decoupled from its underlying resources, allowing seamless migration across different computing platforms, including physical and virtual systems, and public or private clouds, using a remote management module that enables configuration, synchronization, and policy-based management of resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If cloud computing resources are virtualized across multiple platforms to improve resource utilization and reduce costs, then resource optimization and cost efficiency are improved, but device complexity and interoperability challenges increase due to heterogeneity of computing resources
Solution Approach 1:
The patent implements a universal cloud federation platform that can manage and orchestrate resources across multiple heterogeneous cloud environments (public, private, hybrid clouds) through a single unified interface. This multi-functional system handles diverse computing resources, storage systems, and network infrastructures, allowing enterprises to access and manage resources from different cloud providers through common management mechanisms, thereby improving resource utilization without proportionally increasing system complexity.
Solution Approach 2:
The patent introduces cloud federation intermediaries and abstraction layers that mediate between enterprise applications and underlying heterogeneous cloud resources. These intermediaries provide standardized interfaces, translation mechanisms, and coordination protocols that simplify access to diverse cloud platforms, reducing the complexity burden on end users while enabling efficient resource orchestration across multiple clouds.
2Ease of operation
If computing resources are consolidated onto single platforms to improve management efficiency, then ease of operation is improved, but adaptability and resource flexibility deteriorate due to varying peak demands among enterprises
Solution Approach 1:
The patent implements dynamic resource allocation and orchestration mechanisms that automatically adjust resource distribution based on real-time enterprise demands, workload characteristics, and cloud availability. The system can dynamically provision, migrate, and scale resources across multiple cloud platforms, adapting to varying peak demands while maintaining simplified management through automated decision-making algorithms and policy-based resource management.
Solution Approach 2:
The patent segments cloud resources into modular, independently manageable units that can be allocated and managed separately across different cloud platforms. This segmentation allows the system to maintain simplified centralized management while providing flexible, fine-grained resource allocation to multiple enterprises, enabling each enterprise to access only the specific resources they need from appropriate cloud sources.
3Adaptability or versatility
If multiple cloud service providers are interfaced directly to provide service diversity, then adaptability is improved, but device complexity and security management challenges increase
Solution Approach 1:
The patent creates a universal cloud federation interface layer that provides standardized access to multiple diverse cloud service providers. This unified interface handles authentication, authorization, resource provisioning, and management operations consistently across different cloud platforms, allowing enterprises to access diverse cloud services through a single standardized mechanism rather than managing separate interfaces for each provider.
Solution Approach 2:
The patent introduces federation intermediaries and gateway systems that act as mediators between enterprise applications and multiple cloud service providers. These intermediaries translate between different cloud provider interfaces and standardized internal protocols, managing security credentials, handling protocol conversions, and coordinating cross-cloud operations, thereby reducing interface complexity while maintaining access to diverse cloud services.
4Productivity
If resources are dynamically allocated across multiple clouds to meet peak demands, then productivity is improved, but reliability and security management challenges increase
Solution Approach 1:
The patent implements feedback-based resource allocation mechanisms that continuously monitor resource usage, performance metrics, and security conditions across multiple cloud environments. The system uses this feedback to dynamically adjust resource allocation decisions, ensuring that productivity gains from flexible resource distribution do not compromise security or reliability. Automated policies and controls respond to feedback signals to maintain secure and reliable operations while maximizing resource utilization efficiency.
Data Source
AI summary
Various methods, devices, and systems are described for cloud federation in a cloud computing network including bridging computing resources between an enterprise and a cloud or among multiple clouds. These techniques involve generating an image of the host system and decoupling it from its underlying computing resources so that it can be migrated across disparate computing resources in a seamless manner. In one embodiment, an enterprise workload can be bridged with cloud resources to receive software as a service. In other embodiments, bridging is performed across multiple public or private clouds, each potentially having disparate computing resources. In addition, users can access and use these cloud services through a web browser or other network interface anywhere in the cloud computing network as if the services were installed locally on their own computer.