posted by user: eliska_eai || 458 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

IROS 2020   International Conference on Intelligent Robots and Systems
ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
IEEE COINS 2020   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
SIUSAI 2021-Ei Compendex 2021   2021 International Symposium on Intelligent Unmanned Systems and Artificial Intelligence(SIUSAI 2021)
EI-ICBICC 2020   2020 2nd International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2020)
DASFAA 2020   Database Systems for Advanced Applications
EI ISCSIC 2020   2020 4th International Symposium on Computer Science and Intelligent Control(ISCSIC 2020)
icist 2020   acm- 10th International Conference on Information Systems and Technologies
Ei-CCESG 2020   2020 3rd International Joint Conference on Clean Energy and Smart Grid(CCESG 2020)
PPSN 2020   Parallel Problem Solving from Nature