SFC Orchestrator VNF Assignment in Local Data Systems
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Solution Overview
Problem
Inefficient management of computing resources in distributed environments leads to suboptimal performance when handling service function chains (SFCs) due to inadequate assignment and deployment of virtual network functions (VNFs) and services across local data systems, resulting in inefficient use of resources and increased latency costs.
Innovation Solution
A method and system where a service function chain orchestrator determines candidate local data systems based on resource availability mapping, performs analysis to assign VNFs and services optimally, and initiates deployment, considering latency costs and resource allocation to minimize combination costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If VNFs and services are assigned without optimization in distributed environments, then deployment is simpler, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent performs preliminary actions by determining candidate LDSs based on resource availability mapping before actual VNF assignment. The SFC orchestrator proactively identifies suitable local data systems and performs analysis on candidate sets, preparing the deployment environment in advance to optimize resource utilization before the actual assignment occurs.
Solution Approach 2:
The patent introduces an SFC orchestrator as an intermediary between VNF deployment requests and local data systems. This orchestrator manages the complex assignment process by determining candidate LDSs, performing analysis, and making optimized assignment decisions, thereby simplifying the overall system while improving resource utilization efficiency.
2Reliability
If VNFs are deployed without considering latency costs, then deployment speed is faster, but overall system performance deteriorates
Solution Approach 1:
The patent implements feedback mechanisms by performing LDS analysis on candidate local data systems before final assignment. The system evaluates latency costs and resource availability, using this feedback information to make informed assignment decisions that optimize both system performance and latency considerations.
Solution Approach 2:
The patent changes the assignment parameters by considering multiple factors including latency costs, resource availability, and performance metrics. The SFC orchestrator adjusts assignment decisions based on these parameters, selecting optimal LDSs that balance latency requirements with overall system performance goals.
3Productivity
If resource availability mapping is not performed, then deployment process is simpler, but resource allocation efficiency deteriorates
Solution Approach 1:
The patent performs preliminary resource availability mapping to identify candidate local data systems before VNF assignment. This preliminary action creates a structured foundation for efficient resource allocation, allowing the SFC orchestrator to make informed decisions about which LDSs can accommodate specific VNFs based on pre-assessed resource capacity.
Data Source
AI summary
A method for managing data includes obtaining, by a service function chain (SFC) orchestrator, a SFC request for a SFC, wherein the SFC comprises at least one virtual network function (VNF) and one service, in response to the SFC request: determining a set of candidate local data systems (LDSs) based on a resource availability mapping, performing a LDS analysis on the set of candidate LDSs, based on the LDS analysis: assigning the VNF to a candidate LDS of the set of candidate LDSs, assigning the service to a second LDS of the set of candidate LDSs, and based on the assigning of the VNF and the assigning of the service, initiating a deployment of the VNF and the service.