Merge pull request #4912 from RainbowMango/pr_update_roadmap

Update roadmap of 2024

ROADMAP.md

@@ -4,18 +4,19 @@ This document defines a high level roadmap for Karmada development and upcoming
 Community and contributor involvement is vital for successfully implementing all desired items for each release.
 We hope that the items listed below will inspire further engagement from the community to keep Karmada progressing and shipping exciting and valuable features.
 
-## 2023 H1
-- Cluster scheduling group
-- Multiple schedulers support
-- Application-level failover
-- Multi-cluster HPA (Horizontal Pod Autoscaling)
-- Karmada operator
-- ResourceInterpreter include third-party CRD resources
-- Karmada playground
+## 2024 H1
+- Lazy mode of PropagationPolicy
+- Cluster Problem Detector(CPD) - Part one: Cluster condition-based remedy system
+- Scheduler Enhancement - enable scheduler estimator supports resource quota
+- Scheduler Enhancement - Provide a mechanism of re-balance workloads
 
-## 2023 H2
+## 2024 H2
+- AI training and batch job support (Including PyTorch, Spark, Flink and so on)
 - Karmada Dashboard - alpha release
 - Multi-cluster workflow
+- Scheduler Enhancement - Optimize scheduling with GPU resources
+
+## Pending
 - Cluster addon management
 - Multi-cluster Application
 - Multi-cluster monitoring
@@ -24,7 +25,5 @@ We hope that the items listed below will inspire further engagement from the com
 - Multi-cluster RBAC
 - Multi-cluster networking
 - Data migration across clusters
-- Integration with terraform
-- Cluster lifecycle management
 - Image registry across clouds
 - Multi-cluster Service Mesh solutions