Course Overview

CSCI 8795 - Advanced Cloud Computing course is to introduce the underlying technologies that created the current cloud computing and infrastructure, then discuss the future of clouds by investigating the cutting-edge research that will soon be part of cloud ecosystems. This course is designed for "graduate students" and is (most importantly) focused on "research project and seminar". We will quickly cover fundamental concepts of cloud computing with lectures, then move onto (more) research-oriented components (seminar and project) of this course.

For more information, please refer to the course syllabus: Syllabus

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Grading

#	Grading Item	Percent
1	Reading assignments	20%
2	Paper presentation	20%
3	Research Project Project Idea: 5% Proposal Doc (PPT) & Presentation: 15% Mid-Phase Report & Meeting: 10% Final Presentation: 10% Final Report: 20%	60%

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Reading Assignment (Paper Review)

All students should read each assigned paper and submit the review before the scheduled lecture (9 a.m. of the day). Please note that the reading assignment will be started in the second week of the semester. The paper review should have three paragraphs:

Paragraph #1	1-2 sentences of problem statement and summary of the paper e.g., Problem Statement: what problem is being addressed in the paper? e.g., Summary of Approach/Evaluation: "the authors address the problem by designing and implementing ..."
Paragraph #2	pros and cons of the paper e.g., Pros: what’s compelling/effective about the paper. e.g., Cons: what are the most significant flaws/limitations of the paper?
Paragraph #3	(at least) three questions for the paper discussion

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Paper Presentation

The presentation should be prepared for 30–40 minutes talk and clearly explain motivation, problem statement, related work (additional literature survey is a plus), the authors’ approach, evaluation, and discussion topics (e.g., pros and cons, further improvement, etc.).

Slide for the presentation must be emailed to the instructor by 6 p.m. before the class day (if not, the student will lose 33% of the grade). Also, students can always consult with the instructor for the presentation preparation.

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Final Research Project

An essential component of this course is a final research project. You are expected to work on a cutting-edge research problem, which is relevant to the topic of this course. You can work either individually or with other students (1 to 3 members). Project ideas have to be discussed with the instructor. Tentative schedule for this project are as follows:

Project Schedule

• Sep/05: Team building deadline
• Sep/19: Project idea deadline
• Oct/02: Proposal doc deadline
• Week06: Project discussion for proposal
• Week07: Proposal presentation
• Oct/25: Mid-Phase report deadline
• Week11: Mid-Phase progress discussion
• Week16: Final project presentation
• Dec/08: Final report due (11:59:00 p.m.)

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Academic Honesty

All students must follow the Academic Honesty Policy of the University of Georgia. Dishonest behavior will not be tolerated and will result into failing the course. If there are any issues regarding this policy, please contact the instructor immediately.

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Coronavirus Information for Students

• Face Coverings.  Effective July 15, 2020, the University of Georgia -- along with all University System of Georgia (USG) institutions -- requires all faculty, staff, students and visitors to wear an appropriate face covering while inside campus facilities/buildings where six feet social distancing may not always be possible. Face covering use is in addition to and is not a substitute for social distancing. Anyone not using a face covering when required will be asked to wear one or must leave the area. Reasonable accommodations may be made for those who are unable to wear a face covering for documented health reasons. Students seeking an accommodation related to face coverings should contact Disability Services at https://drc.uga.edu/.
• DawgCheck.  Please perform a quick symptom check each weekday on DawgCheck -- on the UGA app or website -- whether you feel sick or not. It will help health providers monitor the health situation on campus: https://dawgcheck.uga.edu/
• What do I do if I have symptoms?  Students showing symptoms should self-isolate and schedule an appointment with the University Health Center by calling 706-542-1162 (Monday-Friday, 8 a.m.-- 5 p.m.). Please DO NOT walk-in. For emergencies and after-hours care, please see https://www.uhs.uga.edu/info/emergencies.
• What do I do if I am notified that I have been exposed?  Students who learn they have been directly exposed to COVID-19 but are not showing symptoms should self-quarantine for 14 days consistent with Department of Public Health (DPH) and Centers for Disease Control and Prevention (CDC) guidelines. Please correspond with your instructor via email, with a cc: to Student Care & Outreach at sco@uga.edu, to coordinate continuing your coursework while self-quarantined. If you develop symptoms, you should contact the University Health Center (706-542-1162) to make an appointment to be tested. You should continue to monitor your symptoms daily on DawgCheck.
• How do I get a test?  Students who are demonstrating symptoms of COVID-19 should call the University Health Center. UHC is offering testing by appointment for students; appointments may be booked by calling 706-542-1162. UGA will also be recruiting asymptomatic students to participate in surveillance tests. Students living in residence halls, Greek housing and off-campus apartment complexes are encouraged to participate.
• What do I do if I test positive?  Any student with a positive COVID-19 test is required to report the test in DawgCheck and should self-isolate immediately. Students should not attend classes in-person until the isolation period is completed. Once you report the positive test through DawgCheck, UGA Student Care and Outreach will follow up with you.

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(Tentative) Class Schedule

Papers in the schedule are accessible anywhere on UGA campus.

Week	Date	Topic	Presenter
1	Aug/20	Course Overview	Instructor
2	Aug/25	Cloud Background (I)	Instructor
	Aug/26	Cloud Background (II)	Instructor
	Aug/27	Cloud Background (III)	Instructor
3	Sep/01	Kubernetes	Sushruth Harsha
	Sep/02	Container Technology	Alireza Vaezi
	Sep/03	Docker Team Building Deadline: Sep/05 (Sat) 5 p.m.	Himabindu Pyata
4	Sep/08	Serverless Computing	Kaustubh Rajput
	Sep/09	Datacenter	Siraaj Fadoo
	Sep/10	No Class -- Project Workday
5	Sep/15	Microservices, Edge Computing	Instructor
	Sep/16	(CACM '19) The Rise of Serverless Computing	Shophine Sivaraja
	Sep/17	(HPCA '19) Machine Learning at Facebook: Understanding Inference at the Edge Project Idea Deadline: Sep/19 (Sat) 5 p.m.	Anagha Joshi
6	Sep/22	Project Discussion -- Individual Team Meeting
	Sep/23	Project Discussion -- Individual Team Meeting
	Sep/24	Project Discussion -- Individual Team Meeting
7	Sep/29	Proposal Presentation
	Sep/30	Proposal Presentation
	Oct/01	Proposal Presentation Proposal Doc Deadline: Oct/02 (Friday) 11:59 p.m.
8	Oct/06	(ICNP '19) Microservice Fingerprinting and Classification using Machine Learning	Austin Apt
	Oct/07	(RTSS '19) EdgeBatch: Towards AI-Empowered Optimal Task Batching in Intelligent Edge Systems	Ankit Lalwani
	Oct/08	(USENIX Security '19) All Things Considered: An Analysis of IoT Devices on Home Networks	Prem Almeida
9	Oct/13	(USENIX Security '20) Visor: Privacy-Preserving Video Analytics as a Cloud Service	Zirak Khan
	Oct/14	No Class -- presentation will be rescheduled (FAST '20) InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache
	Oct/15	(NSDI '20) Firecracker: Lightweight Virtualization for Serverless Applications	Raj Mehta
10	Oct/20	(HPCA '20) Missing the Forest for the Trees: End-to-End AI Application Performance in Edge Data Centers	Yulong
	Oct/21	No Class -- Project Workday
	Oct/22	(ATC '19) MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving Mid-Phase Report Deadline: Oct/25 11:59 p.m.	Shivani Arbat
11	Oct/27	Mid-Phase Discussion -- Individual Team Meeting
	Oct/28	Mid-Phase Discussion -- Individual Team Meeting
	Oct/29	Mid-Phase Discussion -- Individual Team Meeting
12	Nov/03	(SOCC '18) IONN: Incremental Offloading of Neural Network Computations from Mobile Devices to Edge Servers	Ruili
	Nov/04	(ATC '18) Peeking Behind the Curtains of Serverless Platforms	Nazish
	Nov/05	(DEBS '20) FaaSdom: A Benchmark Suite for Serverless Computing	Chinmay
13	Nov/10	(Middleware '19) PrivaTube: Privacy-Preserving Edge-Assisted Video Streaming	Jiameng
	Nov/11	Towards Federated Learning at Scale: System Design	Raj
	Nov/12	(ATC '19) From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers	Divya
14	Nov/17	(PETS '19) Tracking Anonymized Bluetooth Devices	Kawkab Aldoshan
	Nov/18	(PETS '20) Discontinued Privacy: Personal Data Leaks in Apple Bluetooth-Low-Energy Continuity Protocols	Mohd Hasan
	Nov/19	(Middleware '19) On the FaaS Track: Building Stateful Distributed Applications with Serverless Architectures	Qin Yang
15	Nov/24	(FAST '20) InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache	Khushboo Oza
	Nov/25	Thanksgiving Break
	Nov/26	Thanksgiving Break
16	Dec/01	Final Project Presentation (Online)
	Dec/02	Final Project Presentation (Online)
	Dec/03	Final Project Presentation (Online) Final Report Deadline: Dec/08 11:59 p.m.