While we are already used to see more than 1,000 cores within a single machine, the next processing platforms for database engines will be heterogeneous with built-in GPU-style processors as well as specialized FPGAs or chips with domain-specific instruction sets. Moreover, the traditional volatile as well as the upcoming non-volatile RAM with capacities in the 100s of TBytes per machine will provide great opportunities for storage engines but also call for radical changes on the architecture of such systems. Finally, the emergence of economically affordable, high-speed/low-latency interconnects as a basis for rack-scale computing is questioning long-standing folklore algorithmic assumptions but will certainly play an important role in the big picture of building modern data management platforms. In this talk, we will try to classify and review existing approaches from a performance, robustness, as well as energy efficiency perspective and pinpoint interesting starting points for further research activities.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:81310 |
| Date | 10 January 2023 |
| Creators | Lehner, Wolfgang |
| Publisher | ACM |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/acceptedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 2150-8097, 10.14778/3137765.3137834 |
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