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Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while ...
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CAP theorem Euler diagram. Thus, if there is a network partition, one has to choose between consistency or availability. ... Lambda architecture (solution) PACELC ...
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Event-driven architecture (EDA) is a software architecture paradigm concerning the production and detection of events. Event-driven architectures are evolutionary in nature and provide a high degree of fault tolerance, performance, and scalability. However, they are complex and inherently challenging to test. EDAs are good for complex and ...
The latter is guaranteed by the strong confluence property of reduction in this model of computation. Thus interaction nets provide a natural language for massive parallelism. Interaction nets are at the heart of many implementations of the lambda calculus, such as efficient closed reduction [2] and optimal, in Lévy's sense, Lambdascope. [3]
The information bottleneck method is a technique in information theory introduced by Naftali Tishby, Fernando C. Pereira, and William Bialek. [1] It is designed for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint probability distribution p(X,Y) between X and an observed relevant variable Y - and self ...
AWS Graviton is a family of 64-bit ARM-based CPUs designed by the Amazon Web Services (AWS) subsidiary Annapurna Labs.The processor family is distinguished by its lower energy use relative to x86-64, static clock rates, and lack of simultaneous multithreading.