Data Structures for In-Memory Databases (Sommersemester 2012)
Lecturer:
Prof. Dr. Hasso Plattner
(Enterprise Platform and Integration Concepts)
,
Johannes Wust
(Enterprise Platform and Integration Concepts)
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 1.4.2012 - 25.4.2012
- Teaching Form: Project seminar
- Enrolment Type: Compulsory Elective Module
Programs, Module Groups & Modules
- Business Process & Enterprise Technologies
- Operating Systems & Information Systems Technology
- Software Architecture & Modeling Technology
- IT-Systems Engineering A
- IT-Systems Engineering B
- IT-Systems Engineering C
- IT-Systems Engineering D
Description
This seminar covers advanced database topics in the context of in-memory databases with regards to enterprise data management. At the beginning of the term the students will be provided with the necessary knowledge in a short series of lectures. The main part of the seminar will consist of individually preparing a topic in close supervision with a lecturer.
The following topics will be covered:
- Analytical model for In-Memory Database Operators
- Merge Process Optimizations (In-place / Rebuild)
- Strategies for a Merge Process
- Merge Process Scheduling in Mixed Workload Environments
- Bit Compression for Dictionary Encoding in In-Memory Databases
- Impact of Data Distribution on Data Processing
- Impact of the Merge Process on the Transactional Behavior
- Inverted Index Maintenance
- In-Memory Databases on Mobile Devices
- Leveraging GPU's for In-Memory Databases
Requirements
- Completed Bachelor studies
- Participation in courses Datenbanksysteme I and II is helpful
- C++ programming skills are desirable.
Examination
Students have to deliver all of the items below:
- Presentations (all graded)
- Intermediate presentation (10 mins talk + 5 mins discussion)
- Final presentation (20 mins talk + 10 mins discussion)
- Testbed for measurements
- Paper (12 pages in ACM two-column style)
- an intermediate version for reviewing (required)
- final version (graded)
- 1 paper review (a colleague’s paper) (graded)
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