Lower Memory Consumption for Data Transmission in Smart Cloud Environments With CBEDE Methodology

Lower Memory Consumption for Data Transmission in Smart Cloud Environments With CBEDE Methodology

Reinaldo Padilha França (State University of Campinas (UNICAMP), Brazil), Yuzo Iano (State University of Campinas (UNICAMP), Brazil), Ana Carolina Borges Monteiro (State University of Campinas (UNICAMP), Brazil) and Rangel Arthur (State University of Campinas (UNICAMP), Brazil)
Copyright: © 2020 |Pages: 22
DOI: 10.4018/978-1-7998-2112-0.ch011
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Abstract

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%.
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Introduction

The internet has played a pivotal role in our lives since the 90s, when it emerged, both personally and professionally. This digital transformation has, since that decade, stimulated this relationship and synergy, improving the way we relate to information, which is increasingly flooding the world. Nowadays, the Internet is becoming part of the daily lives of many people, so that many activities can only be carried out by the screen of a computer, notebook, tablet or similar. This technological evolution is so great, that even the concept of a cybernetic intelligence, the well-known and famous Artificial Intelligence (AI) was built (Curran, 2016). The AI ​​is nothing more than an intelligence developed by software and technologies, capable of finding solutions to many of the problems, be they of electronic systems, or those faced by humanity. With AI, machines can “think” through data that is collected over time, and stored in their memory, closely resembling human intelligence (Russell & Norvig, 2016).

Drawing a parallel between the human and the artificial brains, it can be realized that just as human intelligence needs a brain structure formed of gray matter, where our neurons perform their processing, so artificial intelligence also needs a structure artificial brain so that things can happen, and she can “think”. Nowadays, artificial intelligence is seen applied in several technologies of humanity's everyday life, such as computer games, robots (which are increasingly resembling and becoming closer to human behavior), voice command programs on the cell phone, and other software that helps in factories, medical diagnostics, as well as the evolution of computing itself. In this way, artificial intelligence in the cloud is the technology that allows robots to operate intelligently and seamlessly, without physical limitations, and can respond to commands and perform previously limiting human activities that are subject to failure (Russell & Norvig, 2016, (Garfinkel & Grunspan, 2018).

These operations include operating systems by voice, the virtual reality of games, where we also see in more advanced studies, intelligent houses and integrated the network almost completely, as well as robots assisting in medicine. Taking into consideration the evolutionary journey of computational technologies since its most basic origin, each stage has aimed, in a way, at improving the performance of the artificial brain by increasing its capacities of connection (data flow) and processing (capacity and speed in processing such data). Going by the way, starting from the first step the migration of a hermetic mainframe, isolated, arriving the client/server architectures, more open and connected, which favors the distribution of data. In the modern days, moving from client/server to mobile, gaining not only connection, but also improvements in processing capacity, working on the same internet that structured the mobile, leveraging the cloud, which adds dimensions of flexibility, scalability and process availability. The concept of cloud computing comes with the idea of ​​storing data outside of the computer and in the internet environment where files and programs can be safely accessed from various devices, desktops and mobile devices, from anywhere, which facilitates and raises the level as the communication between company and employees and clients is carried out, reaching levels of excellence (Russell & Norvig, 2016, Morabit, Mrabti, & Abarkan, 2019, Alfian, 2017).

Key Terms in this Chapter

Modulation: It is the process in which the information to be transmitted is added to electromagnetic waves, since the information signals do not usually have the proper properties to travel through the transmission means, thus through a means of transport, that information gains the proper properties for transmission.

Communication Systems: Communications systems are those in which a message is sent by a sender through a particular channel, it is important to consider that in this transmission of information, there is usually an interference called noise, which comprises anything that moves on the channel other than the actual signals or messages desired by the sender, and ultimately this message is understood by a receiver, can also be considered as a network through which the information that enables the structure to function in an integrated and effective manner flows.

System: It is a logical organization that processes one set of signals at the input to produce another set of signals at the output.

Discrete Events: Discrete Events represent a system as a sequence of operations performed on entities derived from the results of actions taken on it causing changes in the state of the system at intervals of time.

Rician Fading: Multiple replicas of the transmitted signal arrive with different attenuations and different delays to the receiver, being added to their antenna. Rician fading is a modeling of real-world phenomena in wireless communications, being stochastic for the radio signal propagation anomaly caused by the partial cancellation of a radio signal by itself, causing the signal to reach the receiver displaying multipath interference and at least one of the paths is changing, occurs when one of the paths, typically a line of sight signal, is much stronger than the other.

Data: Data is basically codes that constitute the raw material of information, ie, it is untreated information. 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. Data represent one or more meanings of a system that transmits a message. Information is any structuring or organization of such data.

Smart Cloud: The convergence between artificial intelligence (AI) and cloud computing has revolutionized information technology (IT), since AI makes it possible to perform tasks automatically, consisting of the union of several technological tools, which allows a computer vision and processing. more sophisticated to improve the ability to generate large amounts of data and thus create more accurate and accurate forecasts. AI in cloud computing (with all the properties and characteristics of this technology) is the technology that enables robots to operate intelligently and to respond to commands and perform logical activities previously limited to humans, as this combination creates an intelligent cloud.

Simulation: Simulation, like experimentation with a model that mimics certain aspects of reality, involves modeling a process or system in such a way that the model mimics the responses of the real system in a succession of events that occur over time, but with variables. controlled and in an environment that resembles the real, although artificially created.

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