scholarly journals F-FDN: Federation of Fog Computing Systems for Low Latency Video Streaming

2019 ◽  
Author(s):  
Vaughan Veillon ◽  
Chavit Denninnart ◽  
Mohsen Amini Salehi
Keyword(s):  
Video Streaming ◽  
Fog Computing ◽  
Low Latency ◽  
Computing Systems

A Low-Latency MPTCP Scheduler for Live Video Streaming in Mobile Networks

2021 ◽  
pp. 1-1
Author(s):  
Yitao Xing ◽  
Kaiping Xue ◽  
Yuan Zhang ◽  
Jiangping Han ◽  
Jian Li ◽  
...  
Keyword(s):  
Video Streaming ◽  
Mobile Networks ◽  
Low Latency ◽  
Live Video ◽  
Live Video Streaming

scholarly journals Software Architecture of a Fog Computing Node for Industrial Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3715
Author(s):  
Ioan Ungurean ◽  
Nicoleta Cristina Gaitan
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Development Process ◽  
Fog Computing ◽  
Low Latency ◽  
Practical Implementation ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Starting Point ◽  
Hard Real Time

In the design and development process of fog computing solutions for the Industrial Internet of Things (IIoT), we need to take into consideration the characteristics of the industrial environment that must be met. These include low latency, predictability, response time, and operating with hard real-time compiling. A starting point may be the reference fog architecture released by the OpenFog Consortium (now part of the Industrial Internet Consortium), but it has a high abstraction level and does not define how to integrate the fieldbuses and devices into the fog system. Therefore, the biggest challenges in the design and implementation of fog solutions for IIoT is the diversity of fieldbuses and devices used in the industrial field and ensuring compliance with all constraints in terms of real-time compiling, low latency, and predictability. Thus, this paper proposes a solution for a fog node that addresses these issues and integrates industrial fieldbuses. For practical implementation, there are specialized systems on chips (SoCs) that provides support for real-time communication with the fieldbuses through specialized coprocessors and peripherals. In this paper, we describe the implementation of the fog node on a system based on Xilinx Zynq UltraScale+ MPSoC ZU3EG A484 SoC.

scholarly journals Time-constrained strong multi-designated verifier signature suitable for Internet of things–based collaborative fog computing systems

2021 ◽  
Vol 17 (3) ◽  
pp. 155014772110017
Author(s):  
Han-Yu Lin
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Discrete Logarithm ◽  
Signature Scheme ◽  
Computing Systems ◽  
Extended Technique ◽  
Diffie Hellman ◽  
Designated Verifier ◽  
Designated Verifier Signature ◽  
Cloud Servers

Fog computing is viewed as an extended technique of cloud computing. In Internet of things–based collaborative fog computing systems, a fog node aggregating lots of data from Internet of things devices has to transmit the information to distributed cloud servers that will collaboratively verify it based on some predefined auditing policy. However, compromised fog nodes controlled by an adversary might inject bogus data to cheat or confuse remote servers. It also causes the waste of communication and computation resources. To further control the lifetime of signing capability for fog nodes, an appropriate mechanism is crucial. In this article, the author proposes a time-constrained strong multi-designated verifier signature scheme to meet the above requirement. In particular, a conventional non-delegatable strong multi-designated verifier signature scheme with low computation is first given. Based on its constructions, we show how to transform it into a time-constrained variant. The unforgeability of the proposed schemes is formally proved based on the famous elliptic curve discrete logarithm assumption. The security requirement of strong signer ambiguity for our substantial constructions is also analyzed by utilizing the intractable assumption of decisional Diffie–Hellman. Moreover, some comparisons in terms of the signature size and computational costs for involved entities among related mechanisms are made.

scholarly journals Enabling Low-Latency Applications in LTE-A Based Mixed Fog/Cloud Computing Systems

2019 ◽  
Vol 68 (2) ◽  
pp. 1757-1771 ◽  
Author(s):  
Jianbo Du ◽  
Liqiang Zhao ◽  
Xiaoli Chu ◽  
F. Richard Yu ◽  
Jie Feng ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Low Latency ◽  
Computing Systems

A Low-Latency and Massive-Connectivity Vehicular Fog Computing Framework for 5G

2018 ◽  
Author(s):  
Chen Xu ◽  
Yahui Wang ◽  
Zhenyu Zhou ◽  
Bo Gu ◽  
Valerio Frascolla ◽  
...  
Keyword(s):  
Fog Computing ◽  
Low Latency ◽  
Computing Framework
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