Results 31 to 40 of about 449 (143)
Database workload forecasting for hybrid transactional/analytical processing scenario
Popular approaches to DBMS (Database Management System) management rely on monitoring log files or using third-party statistical tools to observe workload variations, which requires continuous manual intervention from DBAs (Database Administrator) for ...
Qiaowang Li, Jalal Kawash, Reda Alhajj
doaj +1 more source
Virtues and limitations of commodity hardware transactional memory [PDF]
Over the last years Transactional Memory (TM) gained growing popularity as a simpler, attractive alternative to classic lock-based synchronization schemes. Recently, the TM landscape has been profoundly changed by the integration of Hardware TM (HTM) in Intel commodity processors, raising a number of questions on the future of TM.
Nuno Diegues +2 more
openaire +1 more source
Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source
Privatizing transactions for Lee’s algorithm in commercial hardware transactional memory
Lee’s algorithm solves the path-connection problems that arise in logical drawing, wiring diagramming or optimal route finding. Its parallel version has been widely used as a benchmark to test transactional memory systems. It exhibits transactions of large size and duration that stress these systems exposing their limitations.
Ricardo Quislant +3 more
openaire +3 more sources
Miners' Reward Elasticity and Stability of Competing Proof‐of‐Work Cryptocurrencies
ABSTRACT Proof‐of‐Work cryptocurrencies employ miners to sustain the system through algorithmic reward adjustments. We develop a stochastic model of the multicurrency mining and identify conditions for stable transaction speeds. Bitcoin's algorithm requires hash supply elasticity <$<$1 for stability, while ASERT remains stable for any elasticity and ...
Kohei Kawaguchi +2 more
wiley +1 more source
The Many Shades of Clouds: How Law Fails (Us) in Seeing Power in the Digital Economy
ABSTRACT Cloud infrastructures form the backbone of our contemporary (digital) production environment. Despite their centrality, legal and scholarly practice have not been treating cloud infrastructures as single objects of/for study. In other words, we have laws for regulating services and products that flow from (within) cloud infrastructures, but we
Petros Terzis +2 more
wiley +1 more source
When the Group Agrees: Explaining Collective Recommendations From Core to Consensus
ABSTRACT Finding an appropriate explanation for generated recommendations has become vital for increasing trustworthiness in current recommender systems (RSs). While the generation of explanations for recommendations aimed at individuals has recently received further study, explanations for group recommender systems (GRSs) scenarios remain inadequate ...
Raciel Yera +1 more
wiley +1 more source
ABSTRACT For over two decades, firms have built platforms and engaged open innovation communities to improve and customize their products through widened participation in the design process. While the benefits of involving those outside a firm as co‐designers have been well described, how co‐design processes unfold over time at the boundary between ...
Eric Reynolds Brubaker +3 more
wiley +1 more source
Hardware transactional memory with software-defined conflicts [PDF]
In this paper we investigate the benefits of turning the concept of transactional conflict from its traditionally fixed definition into a variable one that can be dynamically controlled in software. We propose the extension of the atomic language construct with an attribute that specifies the definition of conflict,
J. Rubén Titos Gil +7 more
openaire +2 more sources
DepthPark is a cost‐effective indoor parking management system that uses monocular cameras, two fixed cameras, and one mobile camera per parking lane, together with deep learning. By combining license plate recognition, parking‐slot classification, and single‐frame depth estimation, the system enables real‐time occupancy monitoring and parking ...
Lakshay Naresh Ramchandani +1 more
wiley +1 more source

