Immutable Container Layers for Faster Cloud Environment Startup
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cloud-based environments face significant startup latency and inefficiencies in sharing resources due to the need for separate virtual computing environments for each user request, leading to wasted computing power and prolonged setup times.
Innovation Solution
A system that organizes code into immutable container layers, utilizing an environment cache and layer cache to reuse and share layers across multiple environments, and employs just-in-time image generation to efficiently establish new environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate virtual computing environments are created for each user request, then resource isolation and security are improved, but startup latency increases and resource sharing efficiency deteriorates
Solution Approach 1:
The virtual computing environment is segmented into immutable container layers that can be independently cached and reused. Each layer represents a discrete unit of the environment (base image, dependencies, code) that can be separately managed, cached, and shared across multiple requests while maintaining isolation through layered composition.
Solution Approach 2:
Container layers are pre-built and stored in an environment cache before actual user requests arrive. When a request comes in, the system checks the cache for existing layers and assembles environments from pre-prepared components, eliminating the need to create environments from scratch for each request.
2Adaptability or versatility
If separate virtual computing environments are created for each user request, then environment independence is improved, but resource sharing capability deteriorates
Solution Approach 1:
Multiple user environments are merged at the layer level rather than requiring complete separation. The system identifies common layers across different user requests and shares them through the layer cache, while maintaining environment independence through unique layer combinations and immutable layer design that prevents interference between users.
Solution Approach 2:
Container layers are designed to be universal building blocks that can serve multiple purposes and multiple users. A single cached layer can be reused across different environments, different users, and different requests, making the layer structure a multi-functional resource that improves sharing efficiency while maintaining the specificity needed for each environment.
3Reliability
If complete environments are built from scratch for each request, then environment freshness is improved, but computing power waste increases
Solution Approach 1:
Instead of discarding entire environments after use, the system recovers and retains individual container layers in the environment cache. When environments are no longer needed, only the specific unused layers are discarded, while commonly reused layers are preserved and recovered for future requests, significantly reducing computing power waste.
4Adaptability or versatility
If environment setup is performed for each request, then request-specific customization is improved, but setup time increases
Solution Approach 1:
The environment setup process is segmented into discrete layers (base image, dependencies, code) that can be independently cached and assembled. This segmentation allows the system to reuse common layers from the cache while only building and customizing the specific layers needed for each request, dramatically reducing setup time while maintaining customization.
Data Source
AI summary
A package manager used with a containerization platform can organize code portions into immutable layers. Collections of layers can be organized and saved together as an executable unit. Disclosed solutions recognize that because layers do not change, they can be reused by the same user and can also serve as shared building blocks for multiple environments running simultaneously. To facilitate sharing layers, a system can analyze which ones are common to multiple environments and allow multiple simultaneous environments to share common layers. Layer compression and dominator algorithms can be used to address inherent layer constraints. To facilitate use of existing layers for efficient start-up, code packages can be organized into base layers and additional layers, and commonly-used layers can be cached. New or unique environment requests can combine previously-cached base layers and additional layers to avoid redundant calculations. A just-in-time approach can combine layers into new images on the fly and cache the new images for later use.