Results 51 to 60 of about 14,769 (187)
Robustness against Read Committed for Transaction Templates [PDF]
arXiv, 2021 The isolation level Multiversion Read Committed (RC), offered by many database systems, is known to trade consistency for increased transaction throughput. Sometimes, transaction workloads can be safely executed under RC obtaining the perfect isolation of serializability at the lower cost of RC.
arxiv
Blockchain and NoSQL: Enhancing Throughput via a Deep Learning‐Based Hybrid Architecture
Internet Technology Letters, EarlyView.ABSTRACT Any data structure used to store information can be considered a database. Blockchain technology, at its core, is no more than a ledger to store information about transactions. In recent years, such technology has gained immense popularity in a wide range of applications.
Longo Antonello +4 more
wiley +1 more source
British Journal of Management, EarlyView.Abstract The ubiquitous entanglement of digital, social and mobile media – and increasingly generative artificial intelligence – in everyday life is reconstituting us (and our methodologies) as cyborg. This paper sets out to explore how cyborg methodologies can positively impact research practice and outcomes.
Josi Fernandes, Katy Mason
wiley +1 more source
Cut-off Theorems for the PV-model [PDF]
arXiv, 2018 We prove cut-off results for deadlocks and serializability of a $PV$-thread $T$ run in parallel with itself: For a $PV$ thread $T$ which accesses a set $\mathcal{R}$ of resources, each with a maximal capacity $\kappa:\mathcal{R}\to\mathbb{N}$, the PV-program $T^n$, where $n$ copies of $T$ are run in parallel, is deadlock free for all $n$ if and only if
arxiv
A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling
Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.Abstract High‐resolution wind fields has always been the goal of refined meteorological forecasting. Using advanced deep learning algorithms for wind downscaling is an effective approach to achieve this goal. However, the lack of physical process understanding in deep learning algorithms results in the inability to accurately reconstruct fine‐scale ...
Anboyu Guo +9 more
wiley +1 more source
Search Multiple Types of Research Assets From Jupyter Notebook
Software: Practice and Experience, Volume 55, Issue 5, Page 946-965, May 2025.ABSTRACT Objective Data science and machine learning methodologies are essential to address complex scientific challenges across various domains. These advancements generate numerous research assets such as datasets, software tools, and workflows, which are shared within the open science community. Concurrently, computational notebook environments like
Na Li, Siamak Farshidi, Zhiming Zhao
wiley +1 more source
Parsing Millions of DNS Records Per Second
Software: Practice and Experience, Volume 55, Issue 4, Page 778-788, April 2025.ABSTRACT Objectives To enhance the throughput of DNS parsing by addressing the computational expense of processing large plain text DNS zone files. To specifically increase the speed of parsing DNS zone files compared to existing state‐of‐the‐art parsers. Method Development of a new approach named simdzone for DNS parsing.
Jeroen Koekkoek, Daniel Lemire
wiley +1 more source
Rethinking serializable multiversion concurrency control [PDF]
arXiv, 2014 Multi-versioned database systems have the potential to significantly increase the amount of concurrency in transaction processing because they can avoid read-write conflicts. Unfortunately, the increase in concurrency usually comes at the cost of transaction serializability.
arxiv
Scalable parallel and distributed simulation of an epidemic on a graph. [PDF]
PLoS One, 2023 Dou G.
europepmc +1 more source
Increasing Interoperability between Digital Twin Standards and Specifications: Transformation of DTDL to AAS. [PDF]
Sensors (Basel), 2023 Schmidt C +3 more
europepmc +1 more source