Results 21 to 30 of about 53,480 (280)

A study on performance measures for auto-scaling CPU-intensive containerized applications [PDF]

, 2019
Autoscaling of containers can leverage performance measures from the different layers of the computational stack. This paper investigate the problem of selecting the most appropriate performance measure to activate auto-scaling actions aiming at ...
Casalicchio, Emiliano
core   +1 more source

Employing Vertical Elasticity for Efficient Big Data Processing in Container-Based Cloud Environments

Applied Sciences, 2021
Recently, “Big Data” platform technologies have become crucial for distributed processing of diverse unstructured or semi-structured data as the amount of data generated increases rapidly.
Jin-young Choi, Minkyoung Cho, Jik-Soo Kim   +2 more
doaj   +1 more source

Application Migration Method for Heterogeneous Container Cloud [PDF]

Jisuanji gongcheng, 2019
To meet the migrating needs of applications based on the Docker container between Kubernetes clusters and Docker Swarm clusters,an application migration system for A-Migrator heterogeneous container cloud is developed.Through the application ...
YANG Kaiqi, YAO Pei, ZHAO Yulong, TANG Lingtao
doaj   +1 more source

Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images

Journal of Imaging, 2023
The third trimester of pregnancy is the most critical period for human brain development, during which significant changes occur in the morphology of the brain. The development of sulci and gyri allows for a considerable increase in the brain surface. In
David Rabanaque, Maria Regalado, Raul Benítez, Sonia Rabanaque, Thais Agut, Nuria Carreras, Christian Mata   +6 more
doaj   +1 more source

Component-aware Orchestration of Cloud-based Enterprise Applications, from TOSCA to Docker and Kubernetes

, 2020
Enterprise IT is currently facing the challenge of coordinating the management of complex, multi-component applications across heterogeneous cloud platforms.
Antonio Brogi, Brogi A, Chekin P, Cochrane K, Davide Neri, Erl T, Hightower K, Jacopo Soldani, Matteo Bogo, Matthias K, Mitchell M, Stefan K, Tozzi C, Wurster M, Wurster M   +14 more
core   +1 more source

poreCov-An Easy to Use, Fast, and Robust Workflow for SARS-CoV-2 Genome Reconstruction via Nanopore Sequencing

Frontiers in Genetics, 2021
In response to the SARS-CoV-2 pandemic, a highly increased sequencing effort has been established worldwide to track and trace ongoing viral evolution. Technologies, such as nanopore sequencing via the ARTIC protocol are used to reliably generate genomes
Christian Brandt, Sebastian Krautwurst, Riccardo Spott, Mara Lohde, Mateusz Jundzill, Mike Marquet, Martin Hölzer   +6 more
doaj   +1 more source

DNA methylation profiling of primary neuroblastoma tumors using methyl-CpG-binding domain sequencing [PDF]

, 2016
Comprehensive genome-wide DNA methylation studies in neuroblastoma (NB), a childhood tumor that originates from precursor cells of the sympathetic nervous system, are scarce. Recently, we profiled the DNA methylome of 102 well-annotated primary NB tumors
Decock, Anneleen, Ongenaert, Maté, Speleman, Franki, Van Criekinge, Wim, Vandesompele, Jo   +4 more
core   +1 more source

Performance Evaluation of Distributed Database Strategies Using Docker as a Service for Industrial IoT Data: Application to Industry 4.0

Information, 2022
Databases are an integral part of almost every application nowadays. For example, applications using Internet of Things (IoT) sensory data, such as in Industry 4.0, are a classic example of an organized storage system. Due to its enormous size, it may be
Theodosios Gkamas, Vasileios Karaiskos, Sotirios Kontogiannis   +2 more
doaj   +1 more source

Building microclouds at the network edge with the Cloudy platform [PDF]

, 2017
Edge computing enables new types of services which operate at the network edge. There are important use cases in pervasive computing, ambient intelligence and the Internet of Things (IoT) for edge computing.
Freitag, Fèlix, Navarro Moldes, Leandro, Pueyo Centelles, Roger   +2 more
core   +1 more source

Performance Evaluation of Deep Learning Tools in Docker Containers

, 2017
With the success of deep learning techniques in a broad range of application domains, many deep learning software frameworks have been developed and are being updated frequently to adapt to new hardware features and software libraries, which bring a big ...
Chu, Xiaowen, Shi, Shaohuai, Xu, Pengfei
core   +1 more source