Topic 1: Edge computing
Edge computing Frame Design
Edge computing resource management
Edge node virtualization
Collaboration between edge computing and cloud computing
Network Protocol of edge computing
Fault management of edge devices
Load balancing in edge computing
Dynamic scheduling of edge computing services
Data cache in edge computing
Internet of Things supported by edge computing
Deep Learning Application of edge computing
Adaptive Learning Technology of edge computing
Data mining in edge computing
Reinforcement Learning of edge computing
Integration method of edge intelligent algorithms
Prediction model of edge computing
Automatic Decision Making in edge computing
Topic 2: Optimization Algorithms
Mathematical programming (exact algorithm)
Heuristic and Meta Heuristic Algorithms
Gradient based optimization
Combination optimization method
Optimization based on proxy model
Multi-objective optimization
Constraint handling method
Random and Robust Optimization
Parallel and Distributed Optimization
Algorithm design and debugging strategy
Specific domain optimization
Performance evaluation and comparison, etc
Topic 3: Distributed Systems
Compute nodes (servers/instances)
Communication and Network
Data storage and replica management
Coordination and Service Governance
Cluster management and scheduling
Time and sequence management
Fault tolerance and high availability mechanism
Client/Interface Layer