Catalog Description: Continued graduate survey of large-scale systems for managing information and computation. Topics include basic performance measurement; extensibility, with attention to protection, security, and management of abstract data types; index structures, including support for concurrency and recovery; parallelism, including parallel architectures, query processing and scheduling; distributed data management, including distributed and mobile file systems and databases; distributed caching; large-scale data analysis and search. Homework assignments, exam, and term paper or project required.

Units: 3

Prerequisites: COMPSCI 262A

Spring: 3.0 hours of lecture per week
Fall: 3.0 hours of lecture per week

Grading basis: letter

Final exam status: No final exam

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