The document proposes a gossip protocol for dynamic resource management in large cloud environments. It aims to (1) ensure fair resource allocation among sites/applications, (2) dynamically adapt the allocation to load changes, and (3) scale with the number of physical machines and sites/applications. Existing gossip protocols have drawbacks like assuming static input, requiring restarts and global synchronization when input changes. The proposed protocol continuously executes on dynamic local input without global synchronization. It formally defines the resource allocation problem and provides an optimal solution without memory constraints and a heuristic solution that considers memory constraints and adaptation costs.