Cloud Data Distribution Service for Reliable Payload Transport
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Solution Overview
Problem
Existing data migration systems face challenges in efficiently and reliably transporting large amounts of data from on-premise networks to cloud-based storage due to limitations in bandwidth and reliability of public networks, leading to prolonged transfer times and potential data integrity issues.
Innovation Solution
A data distribution service is established to condition, prepare, and stage data payloads for delivery to cloud storage using dedicated and managed connections, reducing transport time, improving reliability, and providing enhanced security, while leveraging existing relationships with cloud providers for optimized hosting options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If public networks are used for data transport, then network accessibility is improved, but transport time and reliability deteriorate
Solution Approach 1:
The patent introduces a data distribution service as an intermediary between the on-premise network and cloud storage. This mediator establishes dedicated transport connections that are pre-configured and managed, providing reliable data transport while maintaining the simplicity of public network access for users.
Solution Approach 2:
The system performs preliminary actions by establishing dedicated transport connections before data migration begins. These connections are pre-configured, authenticated, and optimized for the specific data transfer task, ensuring reliability and performance before the actual data transport occurs.
2Ease of operation
If public networks are used for data transport, then network accessibility is improved, but transport time increases
Solution Approach 1:
The data distribution service acts as an intermediary that optimizes the transport path. By using dedicated connections managed through this intermediary, data can be transferred over optimized networks rather than congested public networks, significantly reducing transport time.
Solution Approach 2:
The system changes the network parameters by switching from public network interfaces to dedicated transport connections. This parameter change includes using private network paths, optimized routing, and guaranteed bandwidth allocations, all of which reduce transport time compared to best-effort public network delivery.
3Device complexity
If manual configuration is used for data transport, then system complexity is reduced, but automation capability deteriorates
Solution Approach 1:
The data distribution service provides self-service capabilities by automatically discovering existing subscriptions and relationships with cloud providers. The system autonomously configures transport parameters, selects appropriate destinations, and initiates data migration without requiring manual administrator intervention, while maintaining simplicity through automated decision-making.
Solution Approach 2:
The system uses feedback mechanisms to automatically adjust transport configurations. By monitoring existing subscriptions, relationship data, and cloud provider offerings, the system receives feedback that enables it to automatically optimize transport paths, select destinations, and configure parameters without manual intervention.
Data Source
AI summary
Embodiments relate to systems and methods for transporting data to a cloud network. In aspects, an administrator of a data payload may wish to transport the data payload from a data distribution service to a candidate cloud provider to leverage cost, security, redundancy, consolidation, or other advantages. The data distribution service can identify candidate cloud providers that are able to host the data payload. Further, the data distribution service can examine any relationships between the administrator and the candidate cloud providers, and, based on the relationships, can present the administrator with respective offers from the candidate cloud providers to host the data payload. The administrator can review the offers, make a selection, and the data payload can be transported to the selected candidate cloud provider for hosting.