Dynamic adaptation of OSPF interface metrics based on network load

2015 ◽  
Author(s):  
Cian O'Halloran
Keyword(s):  
Dynamic Adaptation ◽  
Network Load

Drawing the Written Woman

2014 ◽  
Vol 7 (2) ◽  
pp. 31-63
Author(s):  
Sonia Lagerwall
Keyword(s):  
Historical Novel ◽  
Dynamic Adaptation ◽  
Adaptation Process ◽  
The Novel ◽  
Artistic Training

This article deals with Philippe Druillet's three-volume comic adaptation (1980–1985) of Salammbô, Gustave Flaubert's historical novel from 1862, set three centuries BC. Flaubert was famous for not wanting his texts illustrated: he argued that the preciseness of images would undo the poetic vagueness of his written words. The article examines how Druillet tackles the challenge of graphically representing Flaubert's canonical work without reducing the priestess Salammbô into a given type. The analysis shows a dynamic adaptation process in which Druillet gives a kaleidoscopic form to Flaubert's text. His variation on the Salammbô character foregrounds photography, a medium historically relevant to the novel but also to Druillet's own artistic training. Featuring his character Lone Sloane in the role of Mathô, the adaptation proves to be a highly personal appropriation of the novel, where Druillet enhances an autobiographical dimension of his work previously hinted at in La Nuit and Gaïl.

Cloud computing demand elasticity algorithm based on ant colony algorithm

2020 ◽  
Vol 13 ◽  
Author(s):  
Chunyu Liu ◽  
Fengrui Mu ◽  
Weilong Zhang
Keyword(s):  
Ant Colony Algorithm ◽  
Theory Of Elasticity ◽  
Ant Colony ◽  
Demand Elasticity ◽  
Network Efficiency ◽  
Elasticity Of Demand ◽  
Operating Profit ◽  
Network Load ◽  
Network Utilization ◽  
The Impact

Background: In recent era of technology, the traditional Ant Colony Algorithm (ACO) is insufficient in solving the problem of network congestion and load balance, and network utilization. Methods: This paper proposes an improved ant colony algorithm, which considers the price factor based on the theory of elasticity of demand. The price factor is denominated in the impact on the network load which means indirect control of network load, congestion or auxiliary solution to calculate the idle resources caused by the low network utilization and reduced profits. Results: Experimental results show that the improved algorithm can balance the overall network load, extend the life of path by nearly 3 hours, greatly reduce the risk of network paralysis, and increase the profit of the manufacturer by 300 million Yuan. Conclusion: Furthermore, results shows that the improved method has a great application value in improving the network efficiency, balancing network load, prolonging network life and increasing network operating profit.

Robust dynamic adaptation of the Smagorinsky model based on a sub-grid activity sensor

2021 ◽  
Vol 33 (1) ◽  
pp. 015117
Author(s):  
J. Hasslberger ◽  
L. Engelmann ◽  
A. Kempf ◽  
M. Klein
Keyword(s):  
Dynamic Adaptation ◽  
Smagorinsky Model ◽  
Model Based

scholarly journals Robustness of Cyber-Physical Supply Networks in Cascading Failures

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 769
Author(s):  
Dong Mu ◽  
Xiongping Yue ◽  
Huanyu Ren
Keyword(s):  
Load Distribution ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Supply Network ◽  
Supply Networks ◽  
Defense Strategies ◽  
Critical Thresholds ◽  
Network Load ◽  
Physical Node ◽  
Simulation Results

A cyber-physical supply network is composed of an undirected cyber supply network and a directed physical supply network. Such interdependence among firms increases efficiency but creates more vulnerabilities. The adverse effects of any failure can be amplified and propagated throughout the network. This paper aimed at investigating the robustness of the cyber-physical supply network against cascading failures. Considering that the cascading failure is triggered by overloading in the cyber supply network and is provoked by underload in the physical supply network, a realistic cascading model for cyber-physical supply networks is proposed. We conducted a numerical simulation under cyber node and physical node failure with varying parameters. The simulation results demonstrated that there are critical thresholds for both firm’s capacities, which can determine whether capacity expansion is helpful; there is also a cascade window for network load distribution, which can determine the cascading failures occurrence and scale. Our work may be beneficial for developing cascade control and defense strategies in cyber-physical supply networks.

scholarly journals Evolutionary Optimization of Case-Based Forecasting Algorithms in Chaotic Environments

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 301
Author(s):  
Alexander Musaev ◽  
Ekaterina Borovinskaya
Keyword(s):  
Chaotic Dynamics ◽  
Evolutionary Optimization ◽  
Modeling Method ◽  
Dynamic Adaptation ◽  
Evolutionary Modeling ◽  
Computational Schemes ◽  
Prediction Algorithms ◽  
Prediction Scheme ◽  
Case Based

The problem of dynamic adaptation of prediction algorithms in chaotic environments based on identification of the situations-analogs in the database of retrospective observations is considered. Under conditions of symmetrical and unsymmetrical chaotic dynamics, traditional computational schemes of precedent prediction turn out to be ineffective. In this regard, a dynamic adaptation of precedent analysis algorithms based on the method of evolutionary modeling is proposed. Implementation of the computational precedent prediction scheme for chaotic processes as well as the evolutionary modeling method are described.

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