No Crash Allowed - Patterns for fault tolerance : Uwe Friedrichsen
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This document discusses patterns for creating fault tolerance in applications to prevent crashes. It recommends designing applications using patterns that allow the system to continue functioning even if parts of the system fail, such as replicating components so if one fails another can take over its functions. The document also suggests implementing retry mechanisms to reattempt operations that fail, and circuit breakers that prevent cascading failures from taking down the whole system.
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"Big Data" is a commonly brandished term, but rarely does anyone provide a clear definition of it. If we stop to define Big Data, we find that at its core, it is about an inability to meet the challenges of information storage and access in a world where data is generated by the petabyte. As an alternative exists the concept of Critical Data, data that generates value for businesses, whose unavailability costs money or even lives. This is the data which has already been identified and understood to be at the core of a business. Together, we will gain a deeper understanding of how to gather, store, and access this business critical information.
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Have you always secretly wondered what the heck 'monads' are? How about 'Tail-call recursion?' or 'monomorphic dispatch'? If this sort of terminology has ever left you with self-doubts or seething with anger because someone is confusing you with elitist terminology, then this is the talk for you! Dr Richard Warburton and the Diabolical Developer + James Gough will take a humorous look at the wide range of incomprehensible terminology in our industry today. They'll cover the concepts behind the jargon with simple examples and some practical tips on how to blend the terminology into your day to day technical conversations without scaring everyone off. At the end of the talk you'll be ready to battle it out on tough mailing lists (Scala!) and have a new appreciation for some of the academic principles behind our craft. Oh and as for monads? Well they're just like burritos, except they're not...
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Overview
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Key Topics Covered
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Power Grid Model
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Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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