Data Distribution Service for Cloud Migration via Dedicated Channels
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Solution Overview
Problem
Current methods for migrating large-scale data between cloud providers over public Internet connections are impractical due to slow speeds, lack of security, and inability to provide error correction or management options, making it difficult to transfer terabytes or petabytes of data efficiently and securely.
Innovation Solution
Implementing a data distribution service with dedicated transport connections that stages and transfers data via high-bandwidth channels, allowing for secure and efficient migration of data payloads between cloud providers, utilizing a cloud management system to coordinate resource allocation and manage virtual machines across multiple clouds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is migrated over public Internet connections, then connectivity and accessibility are improved, but transfer speed and efficiency deteriorate
Solution Approach 1:
The patent introduces a data distribution service as an intermediary between source and target clouds. This service establishes dedicated transport connections that bypass the public Internet, thereby maintaining connectivity flexibility while achieving high-speed data transfer through private network pathways.
2Adaptability or versatility
If data is migrated over public Internet connections, then accessibility is improved, but security and data protection deteriorate
Solution Approach 1:
The data distribution service acts as a secure intermediary that manages dedicated transport connections. This intermediary enables controlled access to data during migration while enforcing security policies, encryption, and authentication mechanisms that are not feasible over public Internet connections.
3Ease of manufacture
If public Internet connections are used for data migration, then implementation simplicity is improved, but error correction and management capabilities deteriorate
Solution Approach 1:
The data distribution service provides self-service error correction and data management capabilities through automated protocols implemented on dedicated transport connections. The system automatically detects, corrects, and recovers from transmission errors without requiring complex manual intervention, maintaining reliability while simplifying implementation.
Data Source
AI summary
Embodiments relate to systems and methods for migrating data between cloud networks via a data distribution service. In aspects, an administrator of a data payload may wish to migrate the data payload from a host cloud network to a target cloud provider to leverage cost, security, redundancy, consolidation, or other advantages. The data distribution service can identify target cloud providers with sets of resources that are capable of hosting the data payload. Further, the data distribution service can determine that the target cloud providers are connected to or capable of being connected to the data distribution service via a set of dedicated communication channels. According to aspects, the data distribution service can receive the data payload from the host cloud network, and transport the data payload to a selected target cloud provider via the set of dedicated communication channels.