Bi-objective Traffic Optimization in Geo-distributed Data Flows

2019 ◽  
Vol 16 ◽  
pp. 36-48 ◽  
Author(s):  
Anna-Valentini Michailidou ◽  
Anastasios Gounaris
Author(s):  
Ivan Zelinka ◽  
Martin Kruliš ◽  
Marek Běhálek ◽  
Tung Minh Luu ◽  
Jaroslav Pokorný

Optimization algorithms are a powerful tool for solving many problems of engineering applications from different fields of real life. They are usually used where the solution of a given problem analytically is unsuitable or unrealistic. If implemented in a suitable manner, there is no need for frequent user intervention into the actions of the equipment in which they are used. The majority of the problems of real life applications can be defined as optimization problems, for example, finding the optimum trajectory of a robot, optimal data flows in various processes like city traffic optimization or modelling and optimization of the seasonal variances of supply, traffic and facilities occupation in tourism among the others. The structure of this chapter is such that on the beginning are introduced bio-inspired algorithms, then parallelization of algorithms and parallel hardware and at the end, open research on Ho Chi Minh City traffic optimization real world example is introduced. In Conclusion are discussed possibilities of mutual combinations of introduced methods.


2016 ◽  
Vol 41 (1) ◽  
pp. 11-23
Author(s):  
Michael Takeo Magruder ◽  
Jeremy Pilcher

Michael Takeo Magruder, visual artist and researcher, discusses his digital and new media art and practice with Jeremy Pilcher, lawyer and academic, whose research engages with the intersection of art and law. Takeo's work asks viewers to question their relationship both to and within the real-time data flows generated by emerging technologies and the implications these have for archives. His art concerns the way institutions use such systems to create narratives that structure societies. This conversation discusses how Takeo's practice invites us, as individuals, to critically reflect on the implications of the stories that are both told to and about us by using gathered and distributed data.


2017 ◽  
Vol 52 ◽  
pp. 505-509 ◽  
Author(s):  
Vyacheslav Koryachko ◽  
Dmitry Perepelkin ◽  
Maria Ivanchikova

2005 ◽  
Vol 19 (1) ◽  
pp. 25-42 ◽  
Author(s):  
David Liu ◽  
Jun Peng ◽  
Kincho H. Law ◽  
Gio Wiederhold ◽  
Ram D. Sriram

2021 ◽  
Author(s):  
Paulo H. Rettore ◽  
Johannes Loevenich ◽  
Roberto Rigolin F. Lopes ◽  
Peter Sevenich

This paper addresses the challenge of testing military systems and applications over different communication scenarios with both network conditions and user data flows changing independently. We assume that systems developed to handle ever-changing communication scenarios are more likely to be reliable and robust during real military operations. Therefore, we propose the Tactical Network Test (TNT) platform to automate the evaluation of military systems and applications over real military radios using a reproducible test methodology. TNT has four main goals (i) the creation of QoS-constrained data flows; (ii) the execution of models to change network conditions; (iii) a performance evaluation of a military system over ever-changing conditions; and (iv) the monitoring and performing data analysis. Our platform was used to execute experiments in a VHF network by sending uniformly distributed data flows during seven different communication scenarios, either generated by a stochastic model or mobility models. The experimental results are used to discuss the military system's performance by quantitative analysis using network metrics and the test scenario characterization through mobility metrics.


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