An approach to monitoring quality in manufacturing using supervised machine learning on product state data

T Wuest, C Irgens, KD Thoben - Journal of Intelligent Manufacturing, 2014 - Springer
Increasing market demand towards higher product and process quality and efficiency forces
companies to think of new and innovative ways to optimize their production. In the area of …

Performance analysis of HPC applications in the cloud

RR Expósito, GL Taboada, S Ramos, J Touriño… - Future Generation …, 2013 - Elsevier
The scalability of High Performance Computing (HPC) applications depends heavily on the
efficient support of network communications in virtualized environments. However …

A self-adaptive hierarchical monitoring mechanism for clouds

G Katsaros, G Kousiouris, SV Gogouvitis… - Journal of Systems and …, 2012 - Elsevier
While Cloud computing offers the potential to dramatically reduce the cost of software
services through the commoditization of IT assets and on-demand usage patterns, one has …

Methods, systems, and computer readable storage devices for managing faults in a virtual machine network

CY Yang, P Bajpay, J Chang-Han, CC Qiu - US Patent 9,946,614, 2018 - Google Patents
Faults are managed in a virtual machine network. Failure of operation of a virtual machine
among a plurality of different types of virtual machines operating in the virtual machine …

Seamless computing for industrial systems spanning cloud and edge

H Mueller, SV Gogouvitis, A Seitz… - … Conference on High …, 2017 - ieeexplore.ieee.org
Industrial systems are more and more dominated by software. In addition, this software is
present across several compute domains, from decentralized edge to centralized …

SCADA systems in the Cloud

P Church, H Mueller, C Ryan, SV Gogouvitis… - Handbook of Big Data …, 2017 - Springer
Abstract SCADA (Supervisory Control And Data Acquisition) systems allow users to monitor
(using sensors) and control (using actuators) an industrial system remotely. Larger SCADA …

[PDF][PDF] Analytical methods of nonstationary processes modeling.

S Zhmylev, I Martynchuk, V Kireev, T Aliev - MICSECS, 2018 - academia.edu
Due to complex structure and a huge scale, cloud systems design and development
requires a preliminary workload estimation. A typical solution for this design step is a …

Moving SCADA systems to IaaS clouds

P Church, H Mueller, C Ryan… - … on Smart City …, 2015 - ieeexplore.ieee.org
SCADA systems allow users to monitor and/or control physical devices, processes and
events remotely. As these systems are critical to industrial processes, they are often run on …

Virtualised e-Learning on the IRMOS real-time Cloud

T Cucinotta, F Checconi, G Kousiouris… - … Oriented Computing and …, 2012 - Springer
This paper presents the real-time virtualised Cloud infrastructure that was developed in the
context of the IRMOS European Project. The paper shows how different concepts, such as …

A dynamic checkpointing scheme based on reinforcement learning

H Okamura, Y Nishimura, T Dohi - 10th IEEE Pacific Rim …, 2004 - ieeexplore.ieee.org
We develop a new checkpointing scheme for a uniprocess application. First, we model the
checkpointing scheme by a semiMarkov decision process, and apply the reinforcement …