Dynamic, capability-driven scheduling of DAG-based real-time jobs in heterogeneous cluster [PDF]
, 2004 In this research a scenario is assumed where periodic real-time jobs are being run on a heterogeneous cluster of computers, and new aperiodic parallel real-time jobs, modelled by Directed Acyclic Graphs (DAG), arrive at the system dynamically.
Nudd, G. R. +9 more
core +1 more source
Journal of Applied Science and Technology Trends, 2020 In this paper, several works have been presented related to clustering parallel computing for distributed systems. The trend of the paper is to focus on the strengths of previous works in this field towards enhancing the performance of distributed systems.
Hanan Shukur +6 more
openaire +2 more sources
Development of a Low-Cost Distributed Computing Pipeline for High-Throughput Cotton Phenotyping
SensorsIn this paper, we present the development of a low-cost distributed computing pipeline for cotton plant phenotyping using Raspberry Pi, Hadoop, and deep learning.
Vaishnavi Thesma +2 more
doaj +1 more source
A parallel and distributed stochastic gradient descent implementation using commodity clusters
Journal of Big Data, 2019 Deep Learning is an increasingly important subdomain of artificial intelligence, which benefits from training on Big Data. The size and complexity of the model combined with the size of the training dataset makes the training process very computationally
Robert K. L. Kennedy +3 more
doaj +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
k-Means Clustering Algorithm and Its Simulation Based on Distributed Computing Platform
Complexity, 2021 At present, the explosive growth of data and the mass storage state have brought many problems such as computational complexity and insufficient computational power to clustering research.
Chunqiong Wu +6 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Support for flexible and transparent distributed computing [PDF]
, 2010 Modern distributed computing developed from the traditional supercomputing community rooted firmly in the culture of batch management. Therefore, the field has been dominated by queuing-based resource managers and work flow based job submission ...
Liu, H.
core
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
RETRACTED: An improved DBSCAN algorithm based on cell-like P systems with promoters and inhibitors.
PLoS ONE, 2018 Density-based spatial clustering of applications with noise (DBSCAN) algorithm can find clusters of arbitrary shape, while the noise points can be removed.
Yuzhen Zhao, Xiyu Liu, Xiufeng Li
doaj +1 more source