City University of Hong Kong. Information on a Course offered by Department of Electronic Engineering with effect from Semester B in 2014/2015

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1 City University of Hong Kong Information on a Course offered by Department of Electronic Engineering with effect from Semester B in 2014/2015 Part I Course Title: Course Code: Course Duration: Cloud Computing Systems EE4221 One Semester (13 weeks) No. of credits: 3 Level: B4 Medium of Instruction: English Prerequisites (Course Code and Title): EE2004 Microcomputer Systems or EE2202/EE3120 Microprocessor & Assembly Programming Language Precursors (Course Code and Title): Equivalent Course (Course Code and Title) : Exclusive Courses: (Course Code and Title): Part II 1. Course Aims: The course aims to provide students the concept of Cloud Computing Technology. The concept of Cloud Infrastructure, Virtualized Computing, Virtualized Storage, Virtualized Networking, Virtualized Desktop and Application will be discussed in details. Cloud Business Continuity model and computing primer models, management and security are covered. The migration of classic infrastructure into cloud and some hand on experience will be learned by students.

2 2. Course Intended Learning Outcomes (CILOs) Upon successful completion of this course, students should be able to: No. CILOs 1. Describe the Journey To Cloud and Classic Data Center (CDC) 2. Describe logical and physical components of a Virtual Data Centre (VDC) Infrastructure 3. Define business continuity in VDC and examine emerging technologies in Cloud Computing 4. Explain how cloud computing technologies can be applied in business applications 3. Teaching and Learning Activities (TLAs) CILO 1 4 Lecturing, work-along exercise, chapter preview and review, thinkpair-share, one minute paper; in-class exercise, problem Q&A, case study and reporting; multiple choice and short questions, practical work such as laboratory or mini-project etc. Timetabling Information Pattern Hours Lecture: 26 Tutorials: 0 Laboratory: 13 Other activities: 0 4. Assessment Tasks/Activities Type of assessment tasks Weighting(if applicable) Continuous Assessment Quizzes and Test, Laboratory, 30% Assignments/Case Studies Examination Written exam 70% 2 hours Remarks: To pass the course, students are required to achieve at least 35% in course work and 35% in the examination. Also, 75% laboratory attendance rate must be obtained.

3 5. Grading of Student Achievement: Letter Grade A+A A- B+B B- C+C C- Grade Point Grade Definitions Excellent Good Adequate D 1.0 Marginal F 0.0 Failure 6. Constructive Alignment with Major Outcomes MILO How the course contribute to the specific MILO(s) 1,3,5 This course contributes to Programme Outcomes by teaching elements of them, and giving students practice via their applications. 4 An ability to function effectively and responsibly as a team member is appropriate to the degree discipline. Students will work in groups of 2-3 for case studies and split the work amongst them and coordinate the design into a practical system. 7 An ability to communicate effectively is appropriate to the degree discipline. Students will work in groups of 2-3 for case studies and split the work amongst them and coordinate the design into a practical system with a report.

4 Part III Keyword Syllabus: Journey to the Cloud Drivers for cloud computing, cloud definition and characteristics, building cloud infrastructure a phased approach from Classic data center to virtual data center to Cloud, virtualization and its benefits. Introduction to Data Centers Key elements of data center - application, DBMS, compute, storage and network, server clustering, RAID technology, intelligent storage system. Virtualized Data Center (VDC) Compute Compute virtualization benefits, hypervisor types, virtual machine (VM) and its resources, VM resource management, physical to virtual conversion process, benefits and considerations. Virtualized Data Center Storage Storage virtualization benefits, storage for VMs, block and file level storage virtualization, virtual provisioning benefits and best practices, storage tiering. Virtualized Data Center Networking Network virtualization benefits, VDC network infrastructure components, VLANs, and Network traffic management techniques. Virtualized Data Center Desktop and Application Desktop, application, and user state virtualization benefits, tools, and deployment methods. Cloud Computing Primer Cloud computing characteristics, cloud deployment models private, public, hybrid and community cloud, cloud services SaaS, PaaS, and IaaS, cloud economics and challenges. Public Cloud Services Amazon Web Services (AWS): cloud computing with AWS, Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), big data on AWS; Google s cloud solutions. Advance Topics in Cloud Computing Introduction to big data analytics, using MapReduce/Hadoop for analyzing unstructured data, Hadoop ecosystem of tools.

5 Recommended Reading: Cloud Infrastructure and Services Participant Guide Volume 1 & 2 (EMC Education Services, Oct 2011) M. Haines, S. Kaplan, D. Epping and B. Lin: Cloud Computing with VMware vcloud Director (Short Topics in System Administration) (Kindle ebook, 2011, ISBN ) J. Rhoton: Cloud Computing Explained: Implementation Handbook for Enterprises (Recursive Press, 2009, ISBN ) J. Rhoton, R Haukioja: Cloud Computing Architected: Solution Design Handbook (Recursive Press, 2011, ISBN ) R. Jennings : Cloud Computing with the Windows Azure Platform (Wrox Programmer to Programmer) (Wiley, 2009, ISBN ) T. Petrocelli: Data Protection and Information Lifecycle Management (Prentice Hall, 2006, ISBN ) S.R. Smoot and N. K. Tan : Private Cloud Computing: Consolidation, Virtualization, and Service- Oriented Infrastructure (Elsevier, 2012, ISBN: )

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