posted by user: eliska_eai || 306 views || tracked by 1 users: [display]

INIS 2018 : Fog Computing for Intelligent Systems

FacebookTwitterLinkedInGoogle

Link: https://escripts.eai.eu/publication/179-fog-computing-for-intelligent-systems
 
When N/A
Where N/A
Submission Deadline Aug 15, 2018
Notification Due Oct 1, 2018
Final Version Due Oct 31, 2018
Categories    fog computing   big data   cloud-based networks   control networks
 

Call For Papers

With the development of computer technologies, industrial automation significantly reduces the cost. Cloud computing in industrial networks continues to provide services related to storage and computation by managing a pool of high cost resources. However, to meet specific requirements such as low end-to-end delay, fast response, cloud computing suffers from long delay from cloud data centers to the user end while processing a large amount of data.

On the other hand, due to the distribution of applications and services closer to the end-users, academics and industry experts are now advocating for going from large-centralized cloud computing infrastructures to a range of computing nodes located at the edge of the network. Basically, the fog computing extends the services and resources of thecloud closer to users, which facilitates the leveraging of available services and resources in the edge networks.

Fog computing with the features (e.g., low latency, location awareness and capacity of processing large number of nodes with wireless access) to support heterogeneity and real-time applications is an attractive solution to delay- and resource-constrained industrial networks and intelligent systems. However, with the benefits of fog computing, the research challenges arise regarding fog computing.

For instance, how to handle different protocols and data format from highly dissimilar data sources in fog layer? How to determine which data should be processed in cloud or be processed in fog layer while designing computation offloading strategies? Moreover, the privacy and security mechanisms within fog servers are also key design considerations. Developing sustainable infrastructures, protocols are major research challenges for fog computing.

Related Resources

ROBOT 2019   Fourth Iberian Robotics Conference
DSA 2019   The Frontiers in Intelligent Data and Signal Analysis DSA 2019
UCC 2019   12th IEEE/ACM International Conference on Cloud Computing
IEEE BigData 2019   IEEE International Conference on Big Data
IEEE Mobile Cloud 2019   The Seventh IEEE International Conference on Mobile Cloud Computing, Services, and Engineering
ICPP 2019   International Conference on Parallel Processing
ICRAI--Ei Compendex and Scopus 2019   2019 5th International Conference on Robotics and Artificial Intelligence (ICRAI 2019)--Ei Compendex and Scopus
IEEE--ICAIBD--Ei and Scopus 2019   IEEE--2019 The 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD 2019)--Ei Compendex, Scopus
ICISIP 2019   The 7th IIAE International Conference on Intelligent Systems and Image Processing 2019
DATA 2019   8th International Conference on Data Science, Technology and Applications