Covers the general logistics, course rationale, prerequisites, organization, credits, workload, grading, and course content, including swarm intelligence, foraging strategies, and collective phenomena.
Explores data locality in scheduling decisions for multi-tenant platforms and discusses Hadoop's architecture, execution engine optimizations, and fault tolerance strategies.
Explores Hadoop's execution models, fault tolerance, data locality, and scheduling, highlighting the limitations of MapReduce and alternative distributed processing frameworks.
Introduces the fundamental concepts of scheduling in operating systems, covering limited direct execution, protection rings, context switching, and various scheduling policies.
Covers the operating system's role as a referee in managing resources and ensuring security through fault isolation, resource sharing, and communication.
