Service-Level Envelope Mapping for Predictable Network Orchestration
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Solution Overview
Problem
Existing network planning systems lack the ability to translate declarative methods into actionable transitions for complex network deployments, particularly in container-based environments, leading to unpredictable and non-atomic state changes.
Innovation Solution
A method for correlating service level outputs to orchestration inputs by using envelopes that encapsulate state transitions, allowing for the characterization of service operations and defining operational constraints, enabling efficient resource allocation and operational sequencing through a service orchestrator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If declarative methods are used for network planning, then service level objectives can be defined, but the system lacks ability to translate these into actionable transitions leading to unpredictable state changes
Solution Approach 1:
The patent introduces an intermediary layer (orchestration system with envelope technology) between the declarative service level definitions and the actual network state changes. This intermediary translates high-level service level objectives into controlled, predictable state transitions by managing the transformation process through defined interfaces and validation rules, thereby maintaining both ease of operation and reliability.
Solution Approach 2:
The system performs preliminary validation and planning before executing state transitions. By pre-defining valid transition paths, validating service level objectives against operational constraints beforehand, and preparing the orchestration sequence in advance, the system ensures that state changes are predictable and reliable while maintaining ease of operation through structured preprocessing.
2Reliability
If manual planning or simple automation is used, then system control is maintained, but complexity increases and efficiency decreases in large-scale container orchestration
Solution Approach 1:
The patent segments the orchestration management into distinct modular components: service level definition module, validation module, orchestration module, and execution module. Each component handles a specific aspect of the orchestration process, reducing overall system complexity while maintaining reliable control through clear separation of concerns and defined interfaces between segments.
Solution Approach 2:
The orchestration system implements universal, standardized interfaces and protocols that can handle multiple types of network services and container orchestration scenarios through a single unified framework. This multi-functionality reduces complexity by avoiding the need for separate management systems for different service types while maintaining reliable control through consistent validation and orchestration rules.
3Productivity
If resource allocation is optimized for service levels, then operational efficiency improves, but operational constraints may be violated
Solution Approach 1:
The patent implements a feedback mechanism where the orchestration system continuously monitors resource allocation against operational constraints and service level objectives. When constraints are approached or violated, the system provides feedback to adjust resource allocation dynamically, ensuring both operational efficiency and constraint compliance through closed-loop control that balances productivity and reliability.
Solution Approach 2:
The system performs preliminary validation of resource allocation plans against operational constraints before execution. By pre-checking whether proposed resource allocations violate any constraints and adjusting the allocation plan in advance, the system ensures efficient resource utilization while maintaining reliable compliance with operational constraints, preventing violations before they occur.
Data Source
AI summary
This technology defines an envelope of a set of constraints to impose a network characteristic. A function is created to form a combined set of envelopes to configure resources for use in the network. A path is discovered from a first state to a second state based on the combined set of envelopes. A set of service descriptors configures the function based on a load demand for the network. A path selection is tested of a set of envelopes against the load demand for the network. The set of constraints of a path selection is determined as to whether the load demand is met demand. In response to a set of envelopes meeting the load demand, a path selection is enabled for a set of constraints defined by the set of envelopes, else if the load demand is not met, then an error message is returned to the network provider.