Update by hanx@lhws312.ihep.ac.cn at 2026-01-20 14:43:04

Author: hanx-hep

slides.md

@@ -544,41 +544,41 @@ title: System Upgrade Roadmap
 ```mermaid
 %%{init: {'theme': 'base', 'timeline': {'disableMulticolor': true}}}%%
 timeline
-    section Phase 1: Foundation (2026)
+    section Phase 1 - Foundation (2026)
         Q1-Q2 : Monitoring system enhancements<br>Critical service optimizations
         Q3-Q4 : Storage performance improvements<br>DiracX readiness assessment
-    section Phase 2: Scaling (2027)
+    section Phase 2 - Scaling (2027)
         Q1-Q2 : Network infrastructure upgrades<br>Compute resource expansion
         Q2-Q3 : Containerization pilot projects<br>Storage system procurement
         Q3-Q4 : Advanced orchestration deployment<br>Network upgrade completion
-    section Phase 3: Transformation (2028)
+    section Phase 3 - Transformation (2028)
         Q1-Q2 : DiracX migration completion<br>Production migration approval
         Q2-Q3 : Full system validation<br>Advanced monitoring implementation
         Q3-Q4 : Performance optimization<br>Scalability validation
 ```
 
-## JUNO DCI System Evolution Plan
-
-### Hardware Infrastructure
-- **Compute Resources**: Expand GPU capabilities for ML workloads
-- **Storage Systems**: Upgrade to high-performance parallel file systems
-- **Network Fabric**: Implement dedicated science DMZ connections
-
-### Software Stack
-- **Dirac Evolution**: Complete migration from DIRAC v8 to DiracX
-- **Containerization**: Full Docker/Kubernetes deployment for all services
-- **Orchestration**: Advanced workflow management and automation
-
-### Architecture Optimization
-- **Microservices**: Decompose monolithic services into scalable components
-- **Data Management**: Implement tiered storage with intelligent caching
-- **Monitoring**: AI-driven predictive analytics and anomaly detection
-
-### Key Objectives
-1. **Scalability**: Support 5x current workload capacity
-2. **Reliability**: Achieve 99.9% system availability
-3. **Performance**: Reduce average job completion time by 50%
-4. **Maintainability**: Simplify operations and reduce manual intervention
+<!-- ## JUNO DCI System Evolution Plan -->
+<!--  -->
+<!-- ### Hardware Infrastructure -->
+<!-- - **Compute Resources**: Expand GPU capabilities for ML workloads -->
+<!-- - **Storage Systems**: Upgrade to high-performance parallel file systems -->
+<!-- - **Network Fabric**: Implement dedicated science DMZ connections -->
+<!--  -->
+<!-- ### Software Stack -->
+<!-- - **Dirac Evolution**: Complete migration from DIRAC v8 to DiracX -->
+<!-- - **Containerization**: Full Docker/Kubernetes deployment for all services -->
+<!-- - **Orchestration**: Advanced workflow management and automation -->
+<!--  -->
+<!-- ### Architecture Optimization -->
+<!-- - **Microservices**: Decompose monolithic services into scalable components -->
+<!-- - **Data Management**: Implement tiered storage with intelligent caching -->
+<!-- - **Monitoring**: AI-driven predictive analytics and anomaly detection -->
+<!--  -->
+<!-- ### Key Objectives -->
+<!-- 1. **Scalability**: Support 5x current workload capacity -->
+<!-- 2. **Reliability**: Achieve 99.9% system availability -->
+<!-- 3. **Performance**: Reduce average job completion time by 50% -->
+<!-- 4. **Maintainability**: Simplify operations and reduce manual intervention -->
 
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 layout: top-title-two-cols