Private Cloud Traffic Processing with Dynamic Identity Masking
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Solution Overview
Problem
Existing cloud computing platforms, particularly bare-metal private cloud architectures, face challenges in managing resources efficiently while ensuring high quality of service, experience, and reliability. Users may encounter issues with interoperability, reliability, and functionality due to decision-making processes being solely managed by cloud operators, and there is a need to dynamically manage applications and resources while masking identifiers for security and efficiency.
Innovation Solution
The proposed solution involves a system and method for processing communications or traffic within a private cloud network. This includes identifying characteristics of traffic, such as whether it is associated with a control plane or user plane, and applying appropriate functions like firewall, network address translation, or operations, administration, and maintenance functions to manage traffic between nodes and routers within and external to the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud operators manage all decision-making processes for resource allocation and application deployment, then operational efficiency and resource utilization improve, but user control and customization capabilities deteriorate
Solution Approach 1:
The patent segments decision-making authority between cloud operators and users through a hybrid cloud architecture. Operators manage infrastructure-level decisions (resource allocation, networking) while users control application-level decisions (deployment, configuration). This segmentation resolves the contradiction by allowing operators to maintain operational efficiency while users retain customization capabilities.
Solution Approach 2:
The patent introduces an intermediary layer (edge computing nodes or local cloud agents) that mediates between centralized cloud operator policies and user-specific application requirements. This intermediary enables automated resource management by operators while providing users with localized control over their applications, thus resolving the efficiency-versus-control contradiction.
2Reliability
If identifiers associated with cloud platform resources are shielded or masked for security, then security and efficiency improve, but accessibility and ease of operation deteriorate
Solution Approach 1:
The patent introduces an intermediary identification layer that masks internal cloud resource identifiers while providing user-friendly external identifiers. This intermediary layer maintains security by hiding internal structures while improving ease of operation through simplified access interfaces, thus resolving the security-versus-accessibility contradiction.
Solution Approach 2:
The patent implements local quality by providing different identifier types for different operational contexts: secure masked identifiers for internal system communication and user-friendly identifiers for external access. This contextual identifier strategy allows the system to maintain security while improving ease of operation where needed.
3Adaptability or versatility
If the cloud platform dynamically manages applications and traffic based on changing demands, then adaptability and service quality improve, but system complexity increases
Solution Approach 1:
The patent implements dynamic resource allocation and traffic management mechanisms that automatically adjust cloud platform capabilities based on real-time demand conditions. This dynamic approach enables the system to adapt to changing workloads while the underlying automated mechanisms hide the complexity from users, resolving the adaptability-versus-complexity contradiction.
Solution Approach 2:
The patent incorporates feedback loops that continuously monitor system performance, resource utilization, and traffic patterns to automatically adjust cloud platform operations. This feedback-driven dynamic management enables high adaptability while the automated control systems manage the inherent complexity, preventing it from overwhelming the system or users.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining traffic that is conveyed at least in part within a private cloud network, based on the obtaining, identifying characteristics of the traffic, and based on the identifying of the characteristics of the traffic, causing at least one action to be performed within the private cloud network. Other embodiments are disclosed.