Welcome to the graduate course on Cloud Computing

Cloud computing serves many large-scale applications ranging from search engines like Google to social networking websites like Facebook to online stores like Amazon. More recently, cloud computing has emerged as an essential technology to enable emerging fields such as Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning. The exponential growth of data availability and demands for security and speed has made the cloud computing paradigm necessary for reliable, financially economical, and scalable computation. The dynamicity and flexibility of Cloud computing have opened up many new forms of deploying applications on infrastructure that cloud service providers offer, such as renting of computation resources and serverless computing.

This course will cover the fundamentals of cloud services management and cloud software development, including but not limited to design patterns, application programming interfaces, and underlying middleware technologies. More specifically, we will cover the topics of cloud computing service models, data centers resource management, task scheduling, resource virtualization, SLAs, cloud security, software defined networks and storage, cloud storage, and programming models. We will also discuss data center design and management strategies, which enable the economic and technological benefits of cloud computing. Lastly, we will study cloud storage concepts like data distribution, durability, consistency, and redundancy. 

• Course Information

• Course Schedule / Lectures

• Leader-board for Distributed KV Store

• Final Project

Lecture Info

• Instructor: Ali Anwar
• Meeting time: T,Th 09:45 AM - 11:00 AM
• Location: Vincent Hall 364
  
• Email: aanwar_AT_umn.edu

Prerequisite

Undergraduate-level Operating System or a similar course is preferred. This course assumes familiarity with systems, including how operating systems work and how networks work. If you don’t have this background, you should be in communication with me (the instructor) at the beginning of the semester.

Who is this course for?

This course is primarily intended for graduate students and motivated seniors who want to learn the latest research advances in distributed systems and cloud computing areas, and are interested in building cloud-based distributed systems used/demanded by existing/emerging data-intensive applications.

Grading policy

Course Schedule

The course schedule is tentative and subject to change. Topics to be covered are available here.

Group Members	Throughput 3 KV Stores	Average Latency	Ranking
Anas, Ahmad, Suchithra	28500	0.003	1st
Pravallika Kambhampati, Sireesha Pothumudi	4150	0.02	2nd
Thomas Knickerbocker, Owen Ratgen	3800	0.007	3rd
Weichao Huang	2450	0.004
Samuel Nelson, Daniel Tran, Bernie Nnadi	2450	0.02
Chinmayee	2250	0.01
Giang To, Henry Olig	2050	0.004
Azal Khan	1975	0.01
Leo Conforti	1950	0.01
Matthew, Lavanya	1900	0.01
Eric Watson	1800	0.02
Julia, Yashasvi, Hse Wah	1800	0.02