Hybrid Cloud Data Transfer Profile System
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Solution Overview
Problem
Current cloud technologies fail to effectively support secure data transfer, synchronization, backup, and security protection in hybrid cloud environments, particularly in enterprise settings, due to limitations in accommodating dynamic cloud infrastructure and elastic computing requirements.
Innovation Solution
A data transfer profile system that generates and distributes rules for secure data transfer across different domains, utilizing a central management system to manage data transfer, synchronization, and encryption, with features like cache servers, virtual machines, and security key management to ensure efficient and secure data movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is transferred to cloud servers dynamically generated and deleted on demand, then cloud computing elasticity is achieved, but data transfer security and reliability deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-establishing security credentials, encryption keys, and transfer policies before data transfer occurs. The central management system pre-configures security parameters and authentication mechanisms that remain valid across dynamic cloud server instances, ensuring security is not compromised by server ephemeral nature
Solution Approach 2:
The patent introduces a central management system as an intermediary that coordinates data transfer between enterprise networks and cloud servers. This intermediary maintains security policies, manages credentials, and orchestrates transfers across dynamic server instances, decoupling security management from the ephemeral cloud infrastructure
2Reliability
If entire data volumes are transferred for processing, then data processing completeness is improved, but network bandwidth consumption increases
Solution Approach 1:
The system extracts and transfers only the necessary portions of data rather than entire data volumes. The central management system determines which specific data elements or transformations are needed for cloud processing, extracting only those portions for transfer while leaving the rest in the enterprise network
Solution Approach 2:
The patent segments data transfer into discrete, manageable units that can be selectively transferred. Data is divided into logical segments or records that can be individually evaluated and transferred based on processing needs, rather than moving complete data sets
3Loss of information
If data synchronization is implemented for frequent revisions, then data currency is improved, but network bandwidth consumption increases
Solution Approach 1:
The system applies partial action by synchronizing only the specific data elements that have changed or are relevant to processing requirements. Rather than complete data synchronization, the central management system identifies and transfers only the necessary updates or specific data records
4Device complexity
If manual data transfer processes are used, then system complexity is reduced, but productivity deteriorates
Solution Approach 1:
The patent implements self-service automation where the central management system automatically discovers cloud servers, negotiates transfer parameters, manages authentication, and orchestrates data movement without manual intervention. The system serves itself by maintaining configuration data and automatically adapting to dynamic cloud environments
Data Source
AI summary
A data transfer profile defines the transfer of data among different domains. The data transfer profile is processed to generate data transfer rules. Subsets of the rules are distributed to the different domains. A rule can specify a folder in a particular domain in which files stored in the folder will be transferred to another domain.