Advanced Topics on In-Memory Database Systems (Wintersemester 2014/2015)

Lecturer: Dr. Matthias Uflacker , Martin Boissier (Enterprise Platform and Integration Concepts)
Course Website: https://epic.hpi.uni-potsdam.de/Home/AdvancedTopicsOnInMemoryDatabaseSystemsWiSe201415

General Information

• Weekly Hours: 4
• Credits: 6
• Graded: yes
• Enrolment Deadline: 24.10.2014
• Teaching Form: Seminar
• Enrolment Type: Compulsory Elective Module

Programs, Module Groups & Modules

Description

Latest:

• Intermediate presentations: we will meet Monday, June 15th at 9 AM and Wednesday, June 17th at 9.15 AM for the intermediate presentations (Villa, V.2.16)

 

The aim of the research seminar is to teach the students the basics of scientific research and a basic knowledge of the inner mechanics of in-memory databases. The seminar is focused on parallelization of various algorithms in conjunction with columnar in-memory database systems on modern hardware. Hence, each student will work individually on a topic, resulting in a final paper (6-8 pages, IEEE) in addition to a midterm and final presentation. The topics vary from optimized (e.g., lock-free) data structures for in-memory database to general database concepts (e.g., transaction handling, memory tiering). Each topic will have an implementation component, which should be employed and closely evaluated in the resulting paper.

While the main focus of this seminar is HYRISE and parallel computation, there will also be a few more analytical topics which focus on real-world database systems and their characteristics.

Topics (for all topics, please take a look at the introduction slides):

• HYRISE/HANA Topics (usually includes programming in C, C++ or Python):
• Data Eviction using Phase-Change Memory on HYRISE
• Hybrid Data Partitioning on HYRISE
• Application-Defined Partitioning on db Level
• In-Memory Database Coprocessing, GPUs for In-Memory Databases (Intel Xeon Phi and Nvidia Tesla)
• Spatial-temporal Event Detection for Soccer Game Analytics

• Analytical Topics (usually includes SQL and Python):
• Data Footprint Reduction (in cooperation with SAP)
• Synthetic benchmarks: How synthetic are they really?

Literature

Your coach will hand relevant related work to you as soon as you've been assigned to a topic. To get a general introduction into main memory computing, we recommend the following book:

• A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases by Hasso Plattner (please contact Andrea Lange in order to borrow the book for seminar preparation).

Examination

The following components determine the final mark:

Part	Valuation in %	Type
Presentations (Mid-term / Final)	30 (10 / 20)	Personal grade
Results	30	Personal grade
Article	30	Personal grade
Peer-Review of an assigned paper of a fellow student	10	Personal grade

All of the components must be passed in order to pass the seminar.

Dates

The first meeting will take place in the Villa, V-2.16, on October 14 at 11 AM.

We will probably meet all together twice in the first two weeks. Afterwards, there will be weekly meetings with your coach.

In case you're interested to get an introduction into paper writing or in-memory computing, we will also schedule a slot for that.

For the most up to date information, please always check the seminar page on our chair's website.

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