You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.
The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.
For the reports in this repository we specifically note that
- the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
- the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
- technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
- in other cases, please contact the copyright owner for detailed information
By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.
If you are in doubt, feel free to contact webmaster@ide.mdh.se
A Time-Predictable Fog-Integrated Cloud Framework: One Step Forward in the Deployment of a Smart Factory
Publication Type:
Conference/Workshop Paper
Venue:
CSI International Symposium on Real-Time and Embedded Systems and Technologies
DOI:
10.1109/RTEST.2018.8397079
Abstract
This paper highlights cloud computing as one of the principal building blocks of a smart factory, providing a huge data storage space and a highly scalable computational capacity. The cloud computing system used in a smart factory should be time-predictable to be able to satisfy hard real-time requirements of various applications existing in manufacturing systems. Interleaving an intermediate computing layer-called fog-between the factory and the cloud data center is a promising solution to deal with latency requirements of hard real-time applications. In this paper, a time-predictable cloud framework is proposed which is able to satisfy end-to-end latency requirements in a smart factory. To propose such an industrial cloud framework, we not only use existing real-time technologies such as Industrial Ethernet and the Real-time XEN hypervisor, but we also discuss unaddressed challenges. Among the unaddressed challenges, the partitioning of a given workload between the fog and the cloud is targeted. Addressing the partitioning problem not only provides a resource provisioning mechanism, but it also gives us a prominent design decision specifying how much computing resource is required to develop the fog platform, and how large should the minimum communication bandwidth be between the fog and the cloud data center.
Bibtex
@inproceedings{Faragardi5019,
author = {Hamid Reza Faragardi and Saed Dehnavi and Mehdi Kargahi and Alessandro Papadopoulos and Thomas Nolte},
title = {A Time-Predictable Fog-Integrated Cloud Framework: One Step Forward in the Deployment of a Smart Factory},
pages = {54--62},
month = {May},
year = {2018},
booktitle = {CSI International Symposium on Real-Time and Embedded Systems and Technologies },
url = {http://www.es.mdu.se/publications/5019-}
}