Minimum Credits: 3
Maximum Credits: 3
This course provides an overview of the concepts and design principles behind existing cloud solutions. Topics include large scale data processing techniques such as mapreduce/hadoop and its related ecosystem, overview of virtualized commercial cloud models, system virtualization, hypervisors and virtualized platforms. Design of cloud storage systems such as key-value stores and geographically distributed storage systems. Introduction to security and privacy issues in cloud computing, issues of data and execution privacy in modern commercial cloud services.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PREQ: (INFSCI 2500 or INFSCI 2500 Exemption (Test Score=1)); PLAN: School of Information Sciences

Current Sections

Spring 2021

Class No.DaysTimesRoomInstructor(s)TA(s)TypeSession
28379 (1060)Tu3:25 pm - 6:15 pmUCLUB 211B. Palanisamy

Past Sections

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