A Proposal of Improvement for Transmission Channels in Cloud Environments Using the CBEDE Methodology

Author(s):  
Reinaldo Padilha França ◽  
Yuzo Iano ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur

Sharing, transmitting, and storing data has been one of the great needs of today. In the last years, concepts and developed methodologies of cloud computing systems have been improved. This concept created in the 1960s today is present in daily life from ordinary users to even large companies. The present study aims to develop a method of data transmission based on discrete event concepts. This methodology was named CBEDE (by the acronym). The experiments were matched in the MATLAB software simulation environment, where the memory consumption of the proposed methodology was evaluated. Therefore, the CBEDE methodology presents great potential to intermediate users and computer systems, ensuring speed, low memory consumption, and reliability. Being the differential of this research, the use of discrete events applied in the physical layer of a transmission medium, the bit itself, being this to low-level of abstraction, the results show better computational performance related to memory utilization related to the compression of the information, showing an improvement reaching up to 69.93%

Author(s):  
Reinaldo Padilha França ◽  
Yuzo Iano ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur

Smart telecoms will deliver lasting improvements to business productivity and enduring consumer benefits that raise the quality of life by enabling telecommuting, telemedicine, entertainment, access to e-government, and a wealth of other online services. And we'll need next-generation digital platforms on which telecom providers can create and deliver all kinds of services. Therefore, this chapter develops a method of data transmission based on discrete event concepts. This methodology was named CBEDE. Using the MATLAB software, the memory consumption of the proposed methodology was evaluated, presenting the great potential to intermediate users and computer systems, ensuring speed, low memory consumption, and reliability. With the differential of this research, the use of discrete events applied in the physical layer of a transmission medium, the bit itself, being this to low-level of abstraction, the results show better computational performance related to memory utilization, showing an improvement of up to 79.89%.


Author(s):  
Reinaldo Padilha França ◽  
Yuzo Iano ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur

Most of the decisions taken in and around the world are based on data and information. Therefore, the chapter aims to develop a method of data transmission based on discrete event concepts, being such methodology named CBEDE, and using the MATLAB software, where the memory consumption of the proposal was evaluated, presenting great potential to intermediate users and computer systems, within an environment and scenario with cyber-physical systems ensuring more speed, transmission fluency, in the same way as low memory consumption, resulting in reliability. With the differential of this research, the results show better computational performance related to memory utilization with respect to the compression of the information, showing an improvement reaching 95.86%.


Author(s):  
Reinaldo Padilha França ◽  
Yuzo Iano ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur

To anticipate threats, the Intrusion Detection System (IDS) enables the collection and use of information from various types of attacks to defend an entire network infrastructure. Therefore, this chapter develops a method of data transmission based on discrete event concepts, due to the fact that in this digitally globalized world, networks deal with a huge set of data all the time. Data refers to facts, events, actions, activities, and transactions which have been and can be recorded, i.e., the raw material from which information is produced, nurturing the infrastructure and components that enable modern computing. This methodology was named CBEDE and experiments were matched in the MATLAB software, where the memory consumption was evaluated, presenting great potential to intermediate users and computer systems. Results showed better computational performance related to memory utilization related to the compression of the information, showing an improvement reaching up to 114.39%.


2020 ◽  
Vol 4 (3) ◽  
pp. 580-580
Author(s):  
Reinaldo Padilha França

Background: Information systems used in hospitals are slow and consume a lot of system memory, facilitating crashes, impacting patients seeking consultation face long waiting periods by a medical specialist; Still considering that exchange patient data and medical consultations in system interconnected between hospitals, for scheduling of consultations may become even more latent.Methods: Aiming to solve such problems, the present study implements modeling with discrete-event technology applied to a healthcare system, modulating the signal transmitted with the DQPSK format, through the simulation environment, the Simulink of the MATLAB software, improving the transmission of data, through a pre-coding process of bits adopting discrete events in the signal before modulation.Results: This study aims to increase the information capacity for healthcare systems, bringing a new approach for signal transmission, undertaken in the discrete domain employing the discrete entities in the bit generation process, this use being the differential applied on the bit itself, in the physical layer, showing better computational performance regarding memory utilization related to compression of information, showing an improvement of 101.52%.Conclusion: The proposal developed has the properties of improving the capacity of hospital services and can increase the performance of the communication between all medical devices, this positive impact is the result that the data stream will consume fewer communication resources.


Author(s):  
Reinaldo Padilha França ◽  
Yuzo Iano ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur

The present study aims to implement a discrete event simulation (DES)-based model. This model is called coding of bits for entities by means of discrete events (CBEDE) and aims to improve the transmission of content in wireless telecommunication systems. This is done by applying advanced modulation format DQPSK in a simulation environment, the Simulink of the MATLAB software, through a pre-coding process of bits applying discrete events in the signal before of the modulation process, occurring in the discrete domain with the implementation of discrete entities in the process of bit generation applied at a low level of abstraction in a wireless telecommunication system. The results show improvements of 89.08% in memory utilization, related to information compression, in the context of the research. Therefore, the presented results of the proposed methodology show an enormous potential for the non-orthogonal multiple access (NOMA) contexts, credited as the future 5G, and can compensate for the additional complexity brought by the techniques to the telecommunications channel.


2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Hannes Weinreuter ◽  
Balázs Szigeti ◽  
Nadine-Rebecca Strelau ◽  
Barbara Deml ◽  
Michael Heizmann

Abstract Autonomous driving is a promising technology to, among many aspects, improve road safety. There are however several scenarios that are challenging for autonomous vehicles. One of these are unsignalized junctions. There exist scenarios in which there is no clear regulation as to is allowed to drive first. Instead, communication and cooperation are necessary to solve such scenarios. This is especially challenging when interacting with human drivers. In this work we focus on unsignalized T-intersections. For that scenario we propose a discrete event system (DES) that is able to solve the cooperation with human drivers at a T-intersection with limited visibility and no direct communication. The algorithm is validated in a simulation environment, and the parameters for the algorithm are based on an analysis of typical human behavior at intersections using real-world data.


Chapter 8 gives a brief discussion of computer simulation for discrete events. The chapter lists software programs in the technical literature that outline programs for the simulation of discrete events, both of commercial origin and free programs. In addition to the lists submitted, the authors present specialized packages for analysis and simulation of waiting lines in the R language. Statistical considerations are presented, which must be taken into account when obtaining data from simulations in situations of waiting lines. Chapter 8 presents three packages of the statistical program R: the “queueing” analysis package provides versatile tools for analysis of birth- and death-based Markovian queueing models and single and multiclass product-form queueing networks; “simmer” package is a process-oriented and trajectory-based discrete-event simulation (DES) package for R; and, the purpose of the “queuecomputer” package is to calculate, deterministically, the outputs of a queueing network, given the arrival and service times of all the customers. It also uses simulation for the implementation of a method for the calculation of queues with arbitrary arrival and service times. For each theme, the authors show the use of the packages in R.


Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 155 ◽  
Author(s):  
Kalvis Kons ◽  
Pedro La Hera ◽  
Dan Bergström

This article deals with the topic of modelling the log-yard of one of our industry partners. To this end, our framework is based on discrete-events modelling (DEM), as consequence that many stages of the process run as a sequence of events. The sequence starts when trucks, trains or ships arrive loaded with logs to the log-yard. A machine unloads these logs and accumulates them in different storage areas. Consequently, a machine transports logs from these areas to the pulp mill, thus finishing the process. As using probability density functions is the core concept of DEM, the necessary process data to build these PDFs have been partly provided by the company. Other necessary data have been acquired through time studies, and by defining operational requirements. The company data tell when trucks, trains, or ships arrive to the log-yard, and the amount of volume they carry. The objective is to develop the necessary formulations, model calibration techniques, and software, such that computer simulations reproduce the quantities observed in these data. To this end, this work suggests two alternatives to analyse the data itself. These two alternatives lead to two different models: (1) The first being a hybrid model, in the sense that it involves the events in the process, and the logic decisions taken by machine operators for handling the incoming load, and (2) the second containing only the main mathematical essence of the process. After running 100 simulations, both mathematical models show that the simulated values for input and output, in terms of transport units and their volume, differ only by less than 3% compared to company data. The first model has also shown the ability to replicate the decision making that a machine operator undergoes for driving the logs to the storage areas, and from there to the mill. Therefore, the framework adopted provides the necessary mathematical tools and data analysis to model the log-yard and obtain highly reliable results via simulations.


2016 ◽  
Vol 43 (3) ◽  
pp. 338-374

This article investigates the influence of Soviet economic policy on the daily life of Siberian townspeople in the 1960s using a wide range of official and personal sources. In particular, it examines how the Soviet state provided the population with food, enacted price policy and currency reform, and implemented housing programs and consumer services. This article also employs popular memoirs to explore the involvement of the scientific revolution in the beginning of the formation of a socially oriented economy. It also provides a novel perspective on the changes that impacted the everyday lives of ordinary people during the period of Khrushchev’s “Thaw.”


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Luis Rabelo ◽  
Mario Marin ◽  
Petros Xanthopoulos ◽  
Carlos Arellano Lennox ◽  
Pedro Coiduras ◽  
...  

This paper deals with the initial modeling of water salinity and its diffusion into the lakes during lock operation on the Panama Canal. A hybrid operational model was implemented using the AnyLogic software simulation environment. This was accomplished by generating an operational discrete-event simulation model and a continuous simulation model based on differential equations, which modeled the salinity diffusion in the lakes. This paper presents that unique application and includes the effective integration of lock operations and its impact on the environment.


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