Cleveland State University

Transcription

1 SYLLABUS AND COURSE GUIDE Cleveland State University Department of Electrical and Computer Engineering EEC 693 Special topic, Secure Cloud Computing Fall Semester 2015 Instructor: Dr. Abdul Razaque Office: TBD Phone: (347) Office Hours: TBD Or by appointment FALL 2015 Department of Electrical Engineering and Computer Science Cleveland State University Cleveland, Ohio

2 Course Description EEC 693 provides a hands-on comprehensive study of Cloud concepts and capabilities across the various Cloud service models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS). IaaS topics start with a detailed study the evolution of infrastructure migration approaches from VMWare/Xen/KVM virtualization, to adaptive virtualization, and Cloud Computing / on-demand resources provisioning. Mainstream Cloud infrastructure services and related vendor solutions are also covered in detail. PaaS topics cover a broad range of Cloud vendor platforms including AWS, Google App Engine, Microsoft Azure, Eucalyptus, OpenStack and others as well as a detailed study of related platform services such as storage services that leverage Google Storage, Amazon S3, Amazon Dynamo, or other services meant to provide Cloud resources management and monitoring capabilities. The SaaS and PaaS topics covered in the course will familiarize students with the use of vendormaintained applications and processes available on the Cloud on a metered on-demand basis in multitenant environments. The course also covers the Cloud security model and associated challenges and delves into the implementation and support of High Performance Computing and Big Data support capabilities on the Cloud. Through hands-on assignments and projects, students will learn how to configure and program IaaS services. The Students will learn how to develop Cloud-based software applications on top of various Cloud platforms, how to integrate application-level services built on heterogeneous Cloud platforms, and how to leverage SaaS and BPaaS solutions to build comprehensive end-to-end business solutions on the Cloud. In addition, the students will also learn how to construct and secure a private cloud computing environment based on open source VCL solutions, and how to federate it with external clouds, such as public EC2 offering, and some other solutions. Performance, virtualization, cloud mobility, security, cost, usability and utility of cloud computing solutions will be studied both theoretically and in a hands-on lab. Students are expected to learn and demonstrate practical elements of: Cloud Computing principles. Cloud Computing components and services. Cloud mobility and different handover process Cloud Computing architectures and implementations Cloud Computing management and security Learning Objectives: At the end of the course, student will be able to understand complex technologies leading to the development of current and future cloud computing security. Course Material: The course material will be based on notes prepared and distributed by the instructor. Reference Text: Cloud industry publications, online textbooks, and research papers on various topics connected to the various sessions. Prerequisites Course: NA Course Structure: 12 lectures, Demo, project presentation, midterm and final exams Detailed schedule of lectures (each lecture spans one week of class): Recommended Simulator: GreenCloud, CloudSim, SimGrid, VirtualCloud, EMUSIM, GroudSim Recommended Computing Library: Isis2 Recommended tools: CloudAnalyst Recommended Platform: Windows, Linux, Amazon EC2 and Mono 2

3 *Course Outline (Subject to change) Week # Date Course Break-down 1 08/24-08/30 1 Overview of Distributed Computing & Cloud Computing 2 08/31-09/06 2 Infrastructure as a Service (IaaS), Software as a Service (SaaS), Platform as a Service (PaaS) 3 09/07-09/13 3 Virtualization 4 09/14-09/20 4 Cloud Mobility and Handoff/Handover 5 09/21-09/27 5 Privacy preserving model for three stakeholders ( Third party auditor, Cloud service provider and Cloud service user) 6 09/28-10/04 6 Cloud Security 7 10/05-10/11 Research Project First Presentation 8 10/12-10/18 7 Cloud Security approaches & offerings 9 10/19-10/25 8 Tools for cloud computing security assurance 10 10/26-11/01 9 Secure Service Management in Cloud Computing 11 11/02-11/08 10 Enterprise Cloud-Based High Performance Computing (HPC) Applications 12 11/09-11/15 11 High Performance Cloud Computing Vendor Solutions 13 11/16-11/ Cloud Computing Advanced Topics 14 11/23-11/29 Research Project Demo 15 11/30-12/06 Research Project Final Presentation 16 12/07-12/13 Final Examination *Note: Students are required to access the Blackboard on the regular basis for the course materials, home works, Project description, solutions. Tentative Topics, Reading Assignments, Tasks and Events The instructor will make a diligent effort to follow the schedule outlined below. Unless students hear otherwise, students are responsible for completing the reading assignments below by the start of class on the date indicated. Supplemental readings, usually web-based articles related to that week s topic, may be assigned by your instructor throughout the semester. Supplemental reading assignments will be posted on the Blackboard by Saturday prior to the week that they will be discussed in class. Course Policies 3

4 Blackboard Learning Management System (LMS): We will make extensive use of CSU s Blackboard Learning Management System (LMS) in this class. It will be used as a repository for course-relevant information, including lecture and lab pre-reads, and also as a platform for administering quizzes and other assessments. Blackboard is the functional heart of this course. Attendance: Regular class attendance has been shown to have an extremely high correlation with achievement and grades in this course. Attendance is therefore strongly encouraged and rewarded. Students will accumulate points for all classes attended. Be sure to sign the attendance sheet circulated at the start of each class with a single unique signature because I compare signatures across class sessions to eliminate the practice of students signing in for missing friends. Under no circumstances will students sign in for each other. Students arriving more than 10 minutes late to class are considered absent for attendance purposes. Participation and Instructor Interaction: Participation requirements for this class are limited to posting occasional questions on the LMS and completing each graded task by the specified deadline. However, students are strongly encouraged to ask questions in class and labs and to look for opportunities to interact with me, before or after class/lab, during office hours, or whenever an opportunity might arise. Pre-Lab Quizzes: To prepare students for lab sessions, we have developed a weekly prelab exercise, which exposes them in advance to the key concepts that will be covered during the lab. Each of these pre-lab exercises will have a quiz associated with it, which must be completed by the start of class, the same as the online assessments. Exams: There will be three exams, including a comprehensive final exam administered during the officially scheduled University final exam time. Prior to each exam, a highlevel review sheet will be distributed to students. All exam questions are developed directly by the instructor and they are analyzed for statistical validity. Assignment Deadliness: Weekly assignments close out at the start of each class and generally will not be reopened. Projects are due at the start of class on the date noted on the syllabus. Late project-related assignments will be decreased by 2 percent for each calendar day late. Make-Up Quizzes, Labs, Exams: Make-up quizzes, labs, and exams will only be administered for cases of official university absence or because of a personal or family emergency. In all of these cases, excuses must be formally documented and approved by the instructor or through the school Student Services office. If students cannot provide formal documentation for an absence, make-ups will not be made available. Labs: The students will be expected to complete individual pre-lab assignments using their own computer. Macintosh users should be aware of the fact that some assignments may require use of Microsoft Windows applications. This can be accomplished either by using special software on your Mac (Boot-camp, Parallels, VMWare Fusion) or by completing these tasks in the School computing lab. Students arriving late will have their 4

5 lab grade lowered by 20% for each 5 minutes they are late. Student Progress: The instructor recognizes that students taking this class have basic computer network knowledge. A key goal of this course is to motivate every student to improve individual knowledge and understanding of networking. If students have special needs or if issues arise during the semester that impact their class performance, please make someone on the instructional team aware of it. If something in class is confusing, take advantage of office hours, private appointments, and . I am willing to make time for every student who demonstrates a desire to learn. Grading: The traditional grading scale will be used. However, I will prefer to apply the relevant grading method. 90%-100% A 87%-89% A- 83%-86% B+ 80%-82% B 76%-79% B- 60%-75% C 0%-59% F Weights for course work and tentative dates: Quiz 10% (Pop quizzes, review & preview) Final Exam 20% (Comprehensive) Homework/Lab 20 % (5-10) Participation/Worksheet 10% (worksheet after each lecture) Research Project 40% (2-3 person project, four sub-parts) TOTAL 100 % Academic Dishonesty Academic dishonesty is defined to include any form of cheating and/or plagiarism. Cheating includes, but is not limited to, such acts as stealing or altering testing instruments; falsifying the identity of persons for any academic purpose; offering, giving or receiving unauthorized assistance on an examination, quiz or other written or oral material in a course; or falsifying information on any type of academic record. Plagiarism is the presentation of written or oral material in a manner which conceals the true source of documentary material; or the presentation of materials which uses hypotheses, conclusions, evidence, data, or the like, in a way that the student appears to have done work which he/she did not, in fact, do. In cases involving academic dishonesty, a failing grade or a grade of zero (0) for either an assignment and/or a course may be administered. 5

6 Computer Misuse and Dishonesty The University considers any misuse of its computer system to be a serious offense. A student may not attempt to degrade the performance of the computer system, to seek to penetrate its security, or in any way deprive other users of resources or access to the computer. Further violations include, but are not limited to, (a) using a computer account belonging to another individual without the explicit permission of that individual; (b) tampering with the operation of the University s computer system including both its equipment and its programs; (c) using the system for commercial purposes; (d) inspecting, modifying or copying programs or data without authorization from the owner; and (e) using the electronic formats to send abusive, obscene, or otherwise harassing communications. Students with Disabilities The Americans with Disabilities Act is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you believe you have a disability requiring an accommodation, please contact the Department of Student Life or call