| Week |
Date |
Lecture |
| 1 |
xx/xx/2013 |
Introduction to Cloud Computing
- The cloud computing movement [CAYS-1.0] [CAYS-1.3] [CAYS-9.1]
- The principles of cloud computing [CAYS-1.1]
- The benefits of cloud computing [CAYS-1.2]
- The economics of cloud computing [CAYS-3.1]
- Where the cloud does and doesn't make sense [CAYS-3.2]
|
| 2 |
xx/xx/2013 |
Cloud Computing Technologies and Types
- The technological underpinings of cloud computing [CAYS-2.1]:
data centers, virtualisation, RESTful APIs, cloud storage, NoSQL databases, elasticity
- Understanding the different classifications of clouds [CAYS-1.4] [CAYS-2.2]: IaaS, PaaS, DaaS
- Matching cloud providers to your needs [CAYS-2.3] [CAYS-3.3,3.4,3.5,3.6]
|
| 3 |
xx/xx/2013 |
Big Data
|
| 4 |
xx/xx/2013 |
MapReduce and Hadoop
|
| 5 |
xx/xx/2013 |
Practical Lab Class
|
| 6 |
xx/xx/2013 |
Developing MapReduce Programs
- MapReduce algorithm design [DITP-3] [HIA-4,5,6,7] [HTDG-6,7,8]
|
| 7 |
xx/xx/2013 |
Data Management in the Cloud
- MapReduce algorithms for processing relational and matrix data [MMDS-2.3]
- Comparing SQL databases and Hadoop [HIA-1.4]
|
| 8 |
xx/xx/2013 |
Information Retrieval in the Cloud
- MapReduce for inverted indexing [DITP-4]
|
| 9 |
xx/xx/2013 |
Link Analysis in the Cloud
|
| 10 |
xx/xx/2013 |
Beyond MapReduce
|
| 11 |
xx/xx/2013 |
Selected Case Studies
|
| -- |
---------- |
More on Data Management in the Cloud
(Optional self-study material, excluded from assessment.)
|
| -- |
---------- |
Machine Learning in the Cloud
(Optional self-study material, excluded from assessment.)
|
| -- |
---------- |
Security of Cloud Computing
(Optional self-study material, excluded from assessment.)
|
