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EN
This article analyzes the dynamic power losses generated by various hardware implementations of the BLAKE3 hash function. Estimations of the parameters were based on the results of post-route simulations of designs implemented in Xilinx Spartan-7 FPGAs. The algorithm was tested in various hardware organizations: based on a standard iterative architecture with one round instance in the programmable array, various derived versions with pipeline processing were elaborated, which ultimately led to a set of 6 architectural variants of the cipher, from the iterative case (without pipeline) to one with maximum of 6 pipeline stages. Moreover, the results obtained for the iterative architecture were compared with analogous implementations of the BLAKE2 (direct predecessor) and KECCAK (the foundation of the current SHA-3 standard) algorithms. This case study illustrates the differences (or lack thereof) in the power requirements of these three hash functions when they are implemented on an FPGA platform, and illustrate the significant savings that can be achieved by introducing pipeline to the processing of the BLAKE round.
EN
The chapter discusses the performance aspects of intelligent agents in Complex Event Processing (CEP) systems. The contemporary solution for implementing CEP systems is based on available software components (Siddhi) and modern implementation techniques (Kubernetes). However, Siddhi lacks the implementation of modern deep learning algorithms. Hence, the concept of intelligent agent is introduced. A case study with a set of intelligent agents designed to handle real-world events related to environmental data monitoring is presented. The results of the case study discussion indicate a reasonable scale for tuning the Event Processing Element (EPA) topology with correct responses and the required output performance level. These results have important implications for the practical implementation of the EPA structure, i.e., the use of GPUs in CEP systems. Finally, the results of performance analysis of different implementations of intelligent agents are presented and discussed.
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