Cs 643 syllabus
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This document provides the syllabus for the course CS 643 - Cloud Computing. The course focuses on parallel programming techniques for cloud computing and large scale distributed systems. It covers topics such as cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security, and multicore operating systems. Students will study solutions from companies like Google, Amazon, and Microsoft. The course involves a programming assignment, group project, exams, homework, and paper presentations. Students are expected to spend 10 hours per week on coursework.
Cs 643 syllabus
- 1. CS 643 – Cloud Computing Syllabus Faculty Contact Information Instructor: Manoop Talasila Email: mt57@njit.edu Office Hours: WebEx Wednesdays 7-8 P.M. ET Course Description The course presents a top-down view of cloud computing, from applications and administration to programming and infrastructure. Its main focus is on parallel programming techniques for cloud computing and large scale distributed systems which form the cloud infrastructure. The topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Students will study state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, Yahoo, VMWare, etc. Students will also apply what they learn in one programming assignment and one project executed over Amazon Web Services. Textbook and Materials There is no textbook required for this class. Each module is based on recent conference/journal papers as well as documentation from cloud providers. These papers and documentation are posted on the Schedule and Deadlines page. Course Outcomes a. Analyze the trade-offs between deploying applications in the cloud and over the local infrastructure.
- 2. b. Compare the advantages and disadvantages of various cloud computing platforms. c. Deploy applications over commercial cloud computing infrastructures such as Amazon Web Services, Windows Azure, and Google AppEngine. d. Program data intensive parallel applications in the cloud. e. Analyze the performance, scalability, and availability of the underlying cloud technologies and software. f. Identify security and privacy issues in cloud computing. g. Explain recent research results in cloud computing and identify their pros and cons. h. Solve a real-world problem using cloud computing through group collaboration. Course Structure Module Introduction to Cloud Computing Cloud Computing Platforms Parallel Programming in the Cloud Distributed Storage Systems Virtualization Cloud Security Multicore Operating Systems Grading Scale Grade Percentile Percentage A 4.0 70.00-100.00% B+ 3.5 60.00-69.99% B 3.0 45.00-59.99% C+ 2.5 38.00-44.99% C 2.0 30.00-37.99% F N/A 0-29.99% At the discretion of the instructors, the grading may be done on a curve.
- 3. Grading Categories Course Policies Course Correspondence All correspondence with the instructor will take place through Moodle. Questions of general interest should be posted on Moodle’s Ask the Instructor discussion board. Personal/ individual questions should be emailed if the instructor is not responsive to your discussion board posting. Paper Presentations Students will present, in groups of two, one research paper during the semester. These papers cover very recent developments in cloud computing. The presentations (using PowerPoint slides) will take place in class, and extra-credit will be assigned for active participation in discussions. Programming Assignment There will be one individual programming assignment consisting of creating an AMI for Hadoop and implementing short Hadoop programs on the Amazon Web Services platform. Project Students will choose their project topic and work in teams of three to design, implement, and evaluate cloud applications using Hadoop on the Amazon Web Services platform. General requirements for all projects will be discussed in class after the midterm. Categories Percentage Midterm Exam 25% Final Exam 25% Programming Assignment 15% Application Project 15% Homework Problems 10% Paper Presentations 10%
- 4. Exams There will be two exams: a midterm, and a final exam. Both are proctored closed book (i.e., papers, notes) exams. The final exam will cover only the material taught after the midterm. Time Commitment The students are expected to allocate ten hours per week to study and work on the assignments for this course. Late Work and Make-Up Exams In case of missing an exam, a make-up may be taken only after providing written documentation to the Dean of Students. It is left the instructor's discretion whether to accept all other late assignments. Sharing Information Students are free to discuss assignments with their colleagues. However, they should not take any written (electronic or otherwise) record away from the discussion. This applies when the assignment is supposed to be an individual effort or whenever two teams discuss common problems they are each encountering (inter-group collaboration). After the discussion, it is advisable to engage in at least half hour of non- course related activity before starting to work on the assignment. This will assure that students are able to reconstruct by themselves what they learned from the discussion. Student Conduct The NJIT University code on academic integrity, found at http://www.njit.edu/education/pdf/academic-integrity-code.pdf, will be followed in all courses.