Covers the implementation and evaluation of a practical project in Distributed Algorithms, focusing on building Perfect Links, FIFO Broadcast, and Localized Causal Broadcast.
Discusses advanced Spark optimization techniques for managing big data efficiently, focusing on parallelization, shuffle operations, and memory management.
Covers a review of past exams on distributed algorithms, focusing on key concepts such as Terminating Reliable Broadcast, Consensus, and Leader Election.
