Optimization of the capacity of Profibus for the transmission of images and control traffic

Author(s):  
J. Silvestre Blanes ◽  
V.M. Sempere Paya ◽  
M.A. Montava Belda
Keyword(s):  
2019 ◽  
Vol 8 (2) ◽  
pp. 23 ◽  
Author(s):  
Dania Marabissi ◽  
Romano Fantacci ◽  
Linda Simoncini

Ultra-Dense Network (UDN) deployment is considered a key element to achieve the requested capacity in future fifth-generation (5G) mobile networks. Backhaul networks in UDNs are formed by heterogeneous links with multi-hop connections and must handle massive traffic. Backhauling in future 5G networks may represent the capacity bottleneck. Therefore, there is the need for efficient and flexible routing schemes able to handle the dynamism of the traffic load in capacity-limited networks. Toward this goal, the emerging Software-Defined Network (SDN) paradigm provides an efficient solution, transferring the routing operation from the data plane switches to a central controller, thus achieving more flexibility, efficiency, and faster convergence time in comparison to conventional networks. This paper proposes and investigates an SDN-approach for an efficient routing in a capacity-limited backhaul network that carries data and control traffic of a heterogeneous UDN. The routing algorithm is centralized in the SDN controller and two different types of traffic flow are considered: data and control plane coordination traffic. The goal is to reduce or even to avoid the amount of traffic that the backhaul network is not able to support, distributing in a fair way the eventual lack of bandwidth among different access points. Simulation results show that with the considered approach the performance significantly improves, especially when there is an excess of traffic load in the network. Moreover, thanks to the SDN-based design, the network can reconfigure the traffic routing depending on the changing conditions.


2017 ◽  
Vol 13 (7) ◽  
pp. 155014771772079 ◽  
Author(s):  
Futai Zou ◽  
Siyu Zhang ◽  
Linsen Li ◽  
Li Pan ◽  
Jianhua Li

In this article, we analyze the behavioral characteristics of domain name service queries produced by programs and then design an algorithm to detect malware with expired command-and-control domains based on the key feature of domain name service traffic, that is, repeatedly querying domain with a fixed interval. In total, 3027 malware command-and-control domains in the network traffic of Shanghai Jiao Tong University, affecting 249 hosts, were successfully detected, with a high precision of 92.0%. This algorithm can find those malware with expired command-and-control domains that are usually ignored by current research and would have important value for eliminating network security risks and improving network security environment.


2022 ◽  
Vol 355 ◽  
pp. 02061
Author(s):  
Jiang Li ◽  
YongBin Li ◽  
Jinhua Tan ◽  
Zhimin Yang

Fully enclosed noise barrier has been used to prevent and control traffic noise pollution because of its effectiveness. It has become the best solution for controlling environmental noise of high-rise buildings from expressways, urban viaducts and railways that cross the crowded downtown area. However, its high cost has become an important retarding factor on its application and popularization, so reducing the cost become an urgent problem. The research theory, structure frame, sound absorbing and insulating materials are investigated for the fully enclosed noise barrier, so as to provide technical solutions for optimizing the design scheme and reducing the construction cost.


Author(s):  
Hossein Rastgoftar ◽  
Jean-Baptiste Jeannin ◽  
Ella Atkins

Abstract This paper offers an integrative behavioral-based physics-inspired approach to model and control traffic congestion in an efficient manner While existing physics-based approaches commonly assign density and traffic flow states with the Fundamental Diagram, this paper specifies the flow-density relation using past traffic behavior (intent) recorded over a time sliding window with constant horizon length. With this approach, traffic coordination trends can be consistently learned and incorporated into traffic planning. This is integrated with mass conservation law (continuity) to model traffic coordination as a probabilistic process and obtain traffic feasibility conditions using linear temporal logic. By spatial discretization of a network of inter-connected roads (NOIR), the NOIR is represented by a graph with inlet boundary nodes, outlet boundary nodes, and interior nodes. The paper offers a boundary control approach to manage congestion through the inlet boundary nodes. More specifically, model predictive control (MPC) is applied to control traffic congestion through the boundary of the traffic network. Therefore, the optimal boundary in flow is assigned as the solution of a constrained quadratic programming problem with equality and inequality constrained. The simulation results shows that the proposed MPC boundary controller can successfully control the traffic through the inlet boundary nodes where traffic reaches the steady state condition.


Author(s):  
Christian Vitale ◽  
Carla Fabiana Chiasserini ◽  
Francesco Malandrino ◽  
Senay Semu Tadesse
Keyword(s):  

2009 ◽  
Author(s):  
Basil AsSadhan ◽  
José M.F. Moura ◽  
David Lapsley ◽  
Christine Jones ◽  
W. Timothy Strayer

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 38947-38958 ◽  
Author(s):  
Ibrahim Ghafir ◽  
Vaclav Prenosil ◽  
Mohammad Hammoudeh ◽  
Thar Baker ◽  
Sohail Jabbar ◽  
...  

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