README
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Gödel Unified Scheduling System
Gödel represents a comprehensive scheduling and resource management platform designed for various business groups to efficiently operate their diverse cloud-native workloads. It features an integrated quota management system and a scheduler that administers a consolidated resource pool. The Gödel scheduling system is a critical component in the management of clusters.
Thanks to the Gödel architecture, we can realize enhanced performance in terms of resource utilization, resource elasticity, and scheduling throughput, optimizing the overall functionality and efficiency of cluster management.
Overall Architecture
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Drawing inspiration from the Kubernetes scheduler and incorporating the concept of optimistic concurrency, we have optimized the most time-intensive process of matching application nodes—encompassing both filtering and scoring—within the scheduler component. This approach allows for concurrent execution, enhancing the scheduling throughput for large-scale clusters.
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Our two-tiered scheduling semantic abstraction, comprising Unit and Pod, along with its framework implementation, offers a more versatile "batch" scheduling capability. This significantly bolsters support for offline services while simultaneously enhancing throughput and scalability.
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The system boasts a plethora of features coupled with outstanding performance, fulfilling a diverse range of business requirements including online, offline (batch, stream), and training operations, thereby achieving truly unified scheduling.
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While remaining compatible with the Kubernetes ecosystem and serving as a potential substitute for the Kubernetes scheduler, our framework distinguishes itself through performance and architectural advancements. Although the framework interface deviates slightly from that of the Kubernetes scheduler, its extensibility remains uncompromised. Scheduling plugins can be developed in a manner akin to Kubernetes.
Local Gödel Environment Setup with KIND
We offered a guide to set up a local Kubernetes cluster installed with Gödel. Please refer to Local Gödel Environment Setup with KIND for details.
Quick Start Guide for Key Features
Please refer to the below links for quick start guides on key features. Please note that Gödel supports Kubernetes versions from 1.21.4 up to 1.24.6. Using lower or higher Kubernetes versions may cause compatibility issues.
Contribution Guide
Please refer to Contribution.
Directories
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cmd
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pkg
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util/taints
package taints implements utilities for working with taints
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package taints implements utilities for working with taints |
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version/verflag
Package verflag defines utility functions to handle command line flags related to version of Kubernetes.
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Package verflag defines utility functions to handle command line flags related to version of Kubernetes. |
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test
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e2e/framework
Package framework contains provider-independent helper code for building and running E2E tests with Ginkgo.
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Package framework contains provider-independent helper code for building and running E2E tests with Ginkgo. |
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e2e/framework/config
Package config simplifies the declaration of configuration options.
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Package config simplifies the declaration of configuration options. |
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e2e/framework/ginkgowrapper
Package ginkgowrapper wraps Ginkgo Fail and Skip functions to panic with structured data instead of a constant string.
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Package ginkgowrapper wraps Ginkgo Fail and Skip functions to panic with structured data instead of a constant string. |
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e2e/framework/testfiles
Package testfiles provides a wrapper around various optional ways of retrieving additional files needed during a test run: - builtin bindata - filesystem access
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Package testfiles provides a wrapper around various optional ways of retrieving additional files needed during a test run: - builtin bindata - filesystem access |
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utils/junit
Package junit provides data structures to allow easy XML encoding and decoding of JUnit test results.
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Package junit provides data structures to allow easy XML encoding and decoding of JUnit test results. |