The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).
If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.
Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.
BibTex Citation Data :
@article{JOIV374, author = {Istabraq Al-Joboury and Emad H. Al-Hemiary}, title = {Virtualized Fog Network with Load Balancing for IoT based Fog-to-Cloud}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {4}, number = {3}, year = {2020}, keywords = {Internet of Things; Cloud Computing; Fog Computing; Load Balancing; Data in Motion; MQTT; Packet loss; SLB.}, abstract = {Fog Computing is a new concept made by Cisco to provide same functionalities of Cloud Computing but near to Things to enhance performance such as reduce delay and response time. Packet loss may occur on single Fog server over a huge number of messages from Things because of several factors like limited bandwidth and capacity of queues in server. In this paper, Internet of Things based Fog-to-Cloud architecture is proposed to solve the problem of packet loss on Fog server using Load Balancing and virtualization. The architecture consists of 5 layers, namely: Things, gateway, Fog, Cloud, and application. Fog layer is virtualized to specified number of Fog servers using Graphical Network Simulator-3 and VirtualBox on local physical server. Server Load Balancing router is configured to distribute the huge traffic in Weighted Round Robin technique using Message Queue Telemetry Transport protocol. Then, maximum message from Fog layer are selected and sent to Cloud layer and the rest of messages are deleted within 1 hour using our proposed Data-in-Motion technique for storage, processing, and monitoring of messages. Thus, improving the performance of the Fog layer for storage and processing of messages, as well as reducing the packet loss to half and increasing throughput to 4 times than using single Fog server.}, issn = {2549-9904}, pages = {123--126}, doi = {10.30630/joiv.4.3.374}, url = {http://joiv.org/index.php/joiv/article/view/374} }
Refworks Citation Data :
@article{{JOIV}{374}, author = {Al-Joboury, I., Al-Hemiary, E.}, title = {Virtualized Fog Network with Load Balancing for IoT based Fog-to-Cloud}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {4}, number = {3}, year = {2020}, doi = {10.30630/joiv.4.3.374}, url = {} }Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
__________________________________________________________________________
JOIV : International Journal on Informatics Visualization
ISSN 2549-9610Â (print) | 2549-9904 (online)
Organized by Society of Visual Informatocs, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
View JOIV Stats
 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.