Data Management on Modern Storage Technologies (Wintersemester 2020/2021)

Lecturer: Prof. Dr. Tilmann Rabl (Data Engineering Systems) , Lawrence Benson (Data Engineering Systems)
Course Website: https://hpi.de/rabl/teaching/winter-term-2020-21/data-management-on-modern-storage-technologies.html

General Information

Weekly Hours: 4
Credits: 6
Graded: yes
Enrolment Deadline: via email to us by Nov 6th 23:59
Teaching Form: Seminar
Enrolment Type: Compulsory Elective Module
Course Language: English

Programs, Module Groups & Modules

Cybersecurity MA

IT-Systems Engineering MA

OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
IT-Systems Engineering
- HPI-ITSE-K Konstruktion
IT-Systems Engineering
- HPI-ITSE-M Maintenance

Data Engineering MA

Description

The ever-increasing volume of data that is produced today poses numerous challenges on how to efficiently manage it. One of these challenges is how to efficiently store and retrieve such data volumes. For many years, the memory hierarchy was clearly split into fast and expensive DRAM vs. slower but cheaper SSDs (or HDDs). The main goal was to squeeze as much hot data as possible into limited DRAM and only access disks for cold data. This came at the price of either giving up persistence for in-memory data or creating sophisticated mechanisms to store it persistently on slower disks. However, newly available non-volatile memory (NVM) is a class of storage technologies that provides fast byte-addressable storage (like DRAM) in much higher capacities than DRAM with persistence (like SSDs). Thus, NVM is a promising alternative to existing storage solutions. In this course we want to look at the latest developments in NVM-research and develop our own ideas on how to efficiently integrate NVM into the storage landscape.

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