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  • Author: Robert Thomas x
  • IT-Security and Cryptology x
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Abstract

Storage Class Memory (SCM) is emerging as a viable solution to lift DRAM's scalability limits, both in capacity and energy consumption. Indeed, SCM combines the economic characteristics, non-volatility, and density of traditional storage media with the low latency and byte-addressability of DRAM. In this paper we survey research works on how SCM can be leveraged in databases and explore different solutions ranging from using SCM as disk replacement, to single-level storage architectures, where SCM is used as universal memory (i.e., as memory and storage at the same time), together with the challenges that stem from these opportunities. Finally, we synthesize our findings into recommendations on how to exploit the full potential of SCM in next-generation database architectures.

Abstract

Abandoning fossil and nuclear energy sources in the long run and increasing amount of renewable energies in electricity production causes a more volatile power supply. Depending on external realities, renewable energy production emphasizes the need for measures to guarantee the necessary balance of demand and supply in the electricity system at all times. Energy intensive industry processes theoretically include high Demand Response potentials suitable to tackle this increasing supply volatility. Nevertheless, most companies do not operate their production in a flexible manner due to multiple reasons: among others, the companies lack know-how, technologies and a clear business case to introduce an additional level of flexibility into their production processes, they are concerned about possible impacts on their processes by varying the electricity demand and need assistance in exploiting their flexibility. Aside from fostering knowledge in industry companies, an IT-solution that supports companies to use their processes’ Demand Response potential has become necessary. Its concept must support companies in managing companies’ energy-flexible production processes and monetarize those potentials at flexibility markets. This paper presents a concept, which integrates both companies and energy markets. It enables automated trading of companies’ Demand Response potential on different flexibility markets.