Distributed Data

Understanding data distribution and load balancing in distributed systems

Process of selecting a coordinator node in distributed systems for consensus and coordination

Techniques to prevent multiple nodes from acting as leaders simultaneously in distributed systems

Distributed transaction protocol that ensures atomicity across multiple nodes

Coordinating access to shared resources across distributed systems

Understanding the fundamental trade-offs in distributed systems design and implementation

Extension of CAP theorem considering latency and consistency trade-offs during normal operation

Designing systems that can tolerate arbitrary failures including malicious behavior

Voting mechanisms for achieving consensus and consistency in distributed systems

Epidemic-style information dissemination protocols for distributed systems