IPU Sidecar Circuitry for Low-Latency Service Proxying
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In edge computing environments, service meshes with sidecar circuitry introduce flexibility but incur overhead and latency due to scheduling and execution, which is undesirable in resource-constrained edge devices requiring low and predictable latency for efficient service management.
Innovation Solution
Implementing an infrastructure processing unit (IPU) with IPU sidecar circuitry that utilizes telemetry data for smart scheduling and integrating it with infrastructure sidecar circuitry to create an 'IPU-mesh' for dynamic load balancing, auto-scaling, and local orchestration, reducing latency and enhancing service mesh efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If service meshes with sidecar circuitry are implemented in edge computing environments, then service management flexibility and scalability are improved, but scheduling overhead and latency increase
Solution Approach 1:
The patent extracts the scheduling function from the sidecar circuitry and relocates it to a centralized scheduler. This separation allows the sidecar circuitry to focus on local service mesh operations while the centralized scheduler handles time-sensitive scheduling decisions, thereby reducing scheduling latency while maintaining service management flexibility.
Solution Approach 2:
The patent introduces a centralized scheduler as an intermediary component between the service mesh and the edge computing environment. This mediator receives service mesh status information, makes optimized scheduling decisions, and communicates with the sidecar circuitry, thereby reducing the overhead and latency associated with direct sidecar scheduling operations.
2Ease of operation
If sidecar circuitry is used for service mesh deployment, then service discovery and connection setup are simplified, but resource consumption and processing overhead increase
Solution Approach 1:
The patent extracts complex service discovery and connection setup operations from the sidecar circuitry and relocates them to a centralized service mesh controller. This allows the sidecar circuitry to maintain simplified service mesh functionality while the centralized controller handles resource-intensive operations, thereby reducing processing overhead while preserving ease of operation.
Solution Approach 2:
The sidecar circuitry is designed to perform self-service operations for service mesh management, such as local service discovery and connection establishment, without requiring continuous intervention from the centralized controller. This self-service capability reduces the processing overhead on the sidecar circuitry while maintaining operational simplicity.
3Speed
If centralized scheduling is implemented to reduce latency, then service request response time is improved, but system complexity and coordination overhead increase
Solution Approach 1:
The patent segments the scheduling system into a centralized scheduler that handles high-speed service request routing and local sidecar circuitry that manages service mesh operations. This segmentation allows the centralized scheduler to optimize response time for critical service requests while the distributed sidecar circuitry manages local complexity, thereby improving speed without proportionally increasing overall system complexity.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Example methods, apparatus, and systems to facilitate service proxying are disclosed. An example apparatus includes interface circuitry to access a service request intercepted by from an infrastructure processing unit, the service request corresponding to a first node; instructions in the apparatus; and infrastructure sidecar circuitry to execute the instructions to: identify an active service instance corresponding to the service request; compare first telemetry data corresponding to the active service instance to a service quality metric; select a second node to service the service request based on the comparison and further telemetry data; and cause transmission of the service request to the second node.