The proceedings contain 26 papers. The topics discussed include: a selective and biased choice of techniques for building a distributed data store;accelerating the performance of distributed stream processing systems ...
ISBN:
(纸本)9798400701221
The proceedings contain 26 papers. The topics discussed include: a selective and biased choice of techniques for building a distributed data store;accelerating the performance of distributed stream processing systems with in-network computing;secure distributed data and event processing at scale: where are we now?;adaptive distributed streaming similarity joins;I will survive: an event-driven conformance checking approach over process streams;on improving streaming system Autoscaler behavior using windowing and weighting methods;practical forecasting of cryptocoins timeseries using correlation patterns;an exploratory analysis of methods for real-time data deduplication in streaming processes;considerations for integrating virtual threads in a Java framework: a Quarkus example in a resource-constrained environment;and discovery of breakout patterns in financial tick data via parallel stream processing with in-order guarantees.
The current quantum landscape is characterised by a wide variety of quantum computers, each with unique capabilities and limitations. Despite its rapid advancement, this field is still in its early stages and lacks es...
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ISBN:
(纸本)9798331541378
The current quantum landscape is characterised by a wide variety of quantum computers, each with unique capabilities and limitations. Despite its rapid advancement, this field is still in its early stages and lacks essential software engineering principles such as resilience and customisability by design. To provide developers with a quantum technology stack that embeds these principles by design, we propose leveraging the heterogeneity of existing quantum computers. Specifically, we introduce a novel distribution methodology, termed shot-wise, to distribute the quantum computation workload of a single circuit execution (i.e., its shots) across multiple quantum computers. This shot-wise methodology is highly customisable, allowing for the embedding of user-specific and scenario-specific requirements into the distribution process. Requirements can be expressed through constraints, such as the geographical location of the QPUs, and their architecture, or ensuring or avoiding specific combinations of QPUs and quantum providers. Additionally, requirements can be defined by one or more objective functions to be minimised or maximised, such as reducing waiting time, computation cost, or energy footprint. By also combining constraints and objective functions, our shot-wise methodology enhances flexibility and improves the overall resilience of quantum computations against potential quantum computer failures. Preliminary results indicate that this approach offers error rates comparable to, or lower than, those of single-device execution even in all the tested scenarios with different numbers of qubits, families of circuits and number of QPUs to distribute the shots.
In the hybrid line fault of the wind farm collection line, the complex traveling wave reflection phenomenon increases the difficulty of fault location. In order to solve this problem, this paper proposes to install a ...
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In recent times, many streetlights have been wasting energy by staying on unnecessarily during the evenings and nights. This not only harms the environment but also costs a lot of money. The goal of Smart Street Light...
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Managing blood screening data is critical for healthcare, requiring secure and transparent systems to safeguard public health. Existing methods often lack secure access to donors' medical histories, posing risks. ...
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In the current paper, optimal power flow (OPF) issue has been addressed using Multi-trial vector based monkey king evolution (MMKE). The test system is standard ieee 57 bus network where renewable energy sources (RESs...
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A DCS (distributed Control System) allows the integration of equipment from different brands to implement automation tasks. This work develops and implements a multi-purpose DCS for academic purposes that integrates S...
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Secondary frequency control can converge the frequency to the rated value, which is crucial for stabilizing microgrids (MGs), especially in the islanded mode. Currently, secondary frequency control mainly achieves sta...
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Blockchain scalability is one of the most desired properties for permissionless blockchain. Many recent blockchain protocols have focused on increasing the transaction throughput. However, existing protocols cannot dy...
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ISBN:
(纸本)9781665445139
Blockchain scalability is one of the most desired properties for permissionless blockchain. Many recent blockchain protocols have focused on increasing the transaction throughput. However, existing protocols cannot dynamically scale the throughput to meet transaction demand. In this paper, we propose Occam, a secure and adaptive scaling scheme. Occam adaptively changes the transaction throughput by expanding and shrinking according to the transaction demand in the network. We introduce a dynamic adjustment mechanism of mining difficulty and a mining power load balancing mechanism to resist various attacks. Furthermore, we implement Occam on Amazon EC2 cluster with 1000 full nodes. Experimental results show that Occam can greatly increase the throughput of the blockchain and the mining power utilization.
The proceedings contain 28 papers. The topics discussed include: power marketing based on deep reinforcement learning can explain large data mining methods;design and implementation system and statistical model for pr...
ISBN:
(纸本)9798331506261
The proceedings contain 28 papers. The topics discussed include: power marketing based on deep reinforcement learning can explain large data mining methods;design and implementation system and statistical model for precision evaluation of measurement methods;research on impact modeling and risk assessment of software requirements change based on dependency structure matrix;improved brain tumor segmentation framework based on multimodal MRI and cascaded segmentation strategy;probabilistic safety verification of stochastic hybrid systems using probably approximately correct barrier certificates;research on electricity price prediction technology based on mode decomposition and deep learning;and a local differential privacy preservation method for high-dimensional data based on big data mining.
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