From 5f3c820da4f78ad233594a9bc6459cdba2fa3c49 Mon Sep 17 00:00:00 2001 From: rambohe-ch Date: Tue, 19 Dec 2023 15:04:42 +0800 Subject: [PATCH] add nodebucket proposal --- ...affic-spike-during-rapid-node-additions.md | 92 +++++++++++++++++++ 1 file changed, 92 insertions(+) create mode 100644 docs/proposals/20231219-reduce-traffic-spike-during-rapid-node-additions.md diff --git a/docs/proposals/20231219-reduce-traffic-spike-during-rapid-node-additions.md b/docs/proposals/20231219-reduce-traffic-spike-during-rapid-node-additions.md new file mode 100644 index 00000000000..c6f5f65ffd4 --- /dev/null +++ b/docs/proposals/20231219-reduce-traffic-spike-during-rapid-node-additions.md @@ -0,0 +1,92 @@ +| title | authors | reviewers | creation-date | last-updated | status | +|:-----------------------------------------------------------:|-------------| --------- |---------------| ------------ | ----------- | +| Reduce cloud-edge traffic spike during rapid node additions | @rambohe-ch | | 2023-12-19 | | | + +# Reduce cloud-edge traffic spike during rapid node additions + +## Summary + +Introducing the NodeBucket resource provides a scalable and efficient way to manage large NodePools in OpenYurt clusters, +significantly reducing cloud-edge traffic during rapid node additions and maintaining cluster stability. + +## Motivation + +In OpenYurt, NodePool resources manage a group of nodes, and NodePool.status.nodes hold information about all nodes in the pool. +YurtHubs rely on NodePool.status.nodes to determine endpoints within the same NodePool, providing service topology capabilities at the node pool level. +In scenarios where a large NodePool (e.g., with 1000 nodes) experiences rapid growth, such as the addition of 100 edge nodes within a short period of 1 minute, +the cloud-edge traffic can escalate dramatically. Notably, for each node addition, the NodePool data is updated, resulting in 100 updates for 100 new nodes. +These updates are then propagated to every YurtHub component. Assuming a NodePool resource with 1000 nodes information is 60KB in size, the average traffic can be calculated as follows: + +``` +100 (updates) * 1000 (nodes) * 60KB (size per update) / 60 seconds = 100 MB/s = 800 Mbps. +``` + +Such a traffic spike can strain the network and impact cluster stability. + +### Goals + +- Introduce a scalable solution for managing large-scale NodePools in OpenYurt clusters. +- Minimize cloud-edge network traffic caused by frequent NodePool updates during rapid node additions. +- Maintain cluster stability by preventing bandwidth saturation. + +### Non-Goals/Future Work + +- It does not seek to replace the existing NodePool resource but rather to complement it and optimize it for scalability. +- Controllers in yurt-manager component that are using NodePool will remain unchanged. + +## Proposal + +### Solution Introduction + +- The proposed solution is the implementation of a NodeBucket resource that holds node information within the NodePool. +The NodePool to NodeBucket ratio would be 1:N. For example, if one NodeBucket can store information for up to 100 nodes, +then a NodePool with 1000 nodes could be split into 10 NodeBuckets, each being only 1/10th the size of the original (e.g., 6KB). + +- Following the previously described NodeBucket CRD segment, a significant change in design is that YurtHubs will monitor NodeBucket instead of NodePool on all edge nodes. +This shift is critical for enabling the NodeBucket resource to reduce traffic and increase scalability effectively. + +- During the addition of 100 nodes within 1 minute, only the NodeBuckets would be updated and propagated to all YurtHubs. The cloud-edge NodeBucket communication traffic would then be: + +``` +100 (updates) * 1000 (nodes) * 6KB (size per update) / 60 seconds = 10 MB/s = 80 Mbps. +``` + +This represents a tenfold reduction in cloud-edge traffic compared to the current NodePool approach. + +### NodeBucket API + +``` +type Node struct { + // Name is the name of node + Name string `json:"name,omitempty"` +} + +type NodeBucket struct { + metav1.TypeMeta `json:",inline"` + metav1.ObjectMeta `json:"metadata,omitempty"` + // NumNodes represents the number of nodes in the nodebucket + NumNodes int32 `json:"numNodes"` + // Nodes represents a subset of nodes in the nodepool + Nodes []Node `json:"nodes"` +} + +type NodeBucketList struct { + metav1.TypeMeta `json:",inline"` + metav1.ListMeta `json:"metadata,omitempty"` + Items []NodeBucket `json:"items"` +} +``` + +### User Stories + +#### Story 1(General) + +As a cluster administrator, I manage a large OpenYurt cluster with several node pools, each containing hundreds of edge nodes. + +My challenge is to scale the cluster quickly by adding new nodes to the pools without overloading the network bandwidth or affecting the cluster's performance. + +With the current NodePool setup, I've noticed cloud-edge traffic spikes and stability issues during rapid node pool expansions. + +## Implementation History + +- [ ] 12/19/2023: Draft proposal created; \ No newline at end of file