Price: 4000 Naira (BSC, MSC)
The title of this project is internet of a thing big data approach. The main aim and objective of this study is to analyze internet of a thing in big data approach and the specific objective are to examine how Big Data can solve large file storage on the internet, to analyze IoT and Big data current and future technologies and to analyze the role of Big data on internet of Things.The scope of this study is centered on the analysis of the internet of a thing: Bige data approach.This research will be a contribution to the body of literature in the area of the internet of a thing: big data approach and role of big data on internet of things and the current and future technologies.Doctrinal method and also empirical shall be mainly adopted in this research which will entail the consideration of statutes, textbooks of both foreign and local authors, journals, case laws conferences, materials form, collection of facts and data through questionnaires, internet and other relevant materials will be consulted.
1.1 Background of the Study Every day, data is generated by humans using devices asdiverse as personal computers, company servers, electronicconsumer appliances or mobile phones and tablets. Dueto tremendous advances in hardware technology over thelast few years, nowadays even larger amounts of data areautomatically generated by devices and sensors, which areembedded into our physical environment. They measure, for instance, • Machine and process parameters of production processesin manufacturing, • Environmental conditions of transported goods, likecooling, in logistics, • Temperature changes and energy consumption in smarthomes, • Traffic volume, air pollution and water consumption inthe public sector or • puls and bloodpressure of individuals in healthcare. The collection and exchange of data is enabled by electronics,software, sensors and network connectivity that areembedded into physical objects. The infrastructure whichmakes such objects remotely accessible and connects them,is called the Internet of Things (IoT). In 2010, already 12.5billion devices were connected to the IoT (D. Evans, 2011), a numberabout twice as large as the world’s population at that time(6.8 billion). The IoT revolutionizes the Internet, since not only computersare getting connected, but physical things, as well. TheIoT can thus provide us with data about our physical environment,at a level of detail never known before in humanhistory. Understanding the generated data can bringabout a better understanding of ourselves and the world welive in, creating opportunities to improve our way of living,learning, working, and entertaining (D. Evans, 2011). Especially thecombination of data from many different sources and theirautomated analysis may yield new insights into existing relationshipsand interactions between physical entities, theirenvironment and users. This facilitates to optimize theirbehavior. Automation of the interplay between data analysisand control can lead to new types of applications thatuse fully autonomous optimization loops. In particular, the IoT requires a new generationof distributed algorithms which are resource-awareand intelligently reduce the amount of data transmitted andprocessed throughout the analysis chain. Many surveys (for instance, L. Atzori, 2010; J. Gubbi, 2013; D. Partynski and S. Koo, 2013 and L. Xu, W. He, and S. Li, 2014) discuss IoT’s underlying technologies, others (J. Gama, 2010 and R. Roman, 2013) security and privacy issues. The IoT consists of physical objects (or “things”) which embedelectronics, software, sensors, and communication components,enabling them to collect and exchange data. Physicalthings are no longer separated from the virtual world,but connected to the Internet. They can be accessed remotely,i.e. monitored, controlled and even made to act. Ideas resembling the IoT reach back to the year 1988, starting with the field of ubiquitious computing. In 1991, MarkWeiser framed his ideas for the computer of the 21st century (M. Weiser, 1991). Weiser envisioned computers being small enoughto vanish from our sight, becoming part of the background,so that they are used without further thinking. The word big data refers to the large volume ofdata. Now a days,internet is producing millions ofpb of data every single day,but how can the databe managed? Figure 1.1 Consider a social networking site Facebook,which has nearly 3.2 billion users is producing 0.8Quintillion bytes of data every day. As the total dataproduced in a day by the internet is 2.5 Quintillion bytes. Where can this much of data be stored? The solution is big data. By the concept ofdistributed file system big data handles millions of pb of data every minute. Generally data is measured in bytes,startingwith a byte,now there is a need of zetta bytes of datawhich may leads to the evolution of many new byteforms. As of now we have the following forms of data. 1.2 Aim and Objective of the Study The main aim and objective of this study is to analyze internet of a thing in big data approach. The specific objective are stated below: 1.To examine how Big Data can solve large file storage on the internet. 2. To analyze IoT and Big data current and future technologies. 3. To analyze the role of Big data on internet of Things. 1.3 Significance of the Study This research will be a contribution to the body of literature in the area of the internet of a thing: big data approach and role of big data on internet of things and the current and future technologies. 1.4 Scope of the Study The scope of this study is centered on the analysis of the internet of a thing: Bige data approach. 1.5 Research Methodology Doctrinal method and also empirical shall be mainly adopted in this research which will entail the consideration of statutes, textbooks of both foreign and local authors, journals, case laws conferences, materials form, collection of facts and data through questionnaires, internet and other relevant materials will be consulted. 1.6 Literature Review The Internet of things (IoT) is the extension of Internet connectivity into physical devices and everyday objects. Embedded with electronics, Internet connectivity, and other forms of hardware (such as sensors), these devices can communicate and interact with others over the Internet, and they can be remotely monitored and controlled (Brown, Eric, 2013). The definition of the Internet of things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems (Wigmore, 2014). Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others all contribute to enabling the Internet of things. In the consumer market, IoT technology is most synonymous with products pertaining to the concept of the “smart home”, covering devices and appliances (such as lighting fixtures, thermostats, home security systems and cameras, and other home appliances) that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers. The IoT concept has faced prominent criticism, especially in regards to privacy and security concerns related to these devices and their intention of pervasive presence. Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate (Breur, 2016). Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity (Laney, 2001). Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) (Goes, 2014) and value (Marr, 2014). Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. “There is little doubt that the quantities of data now available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem (boyd, 2011).” Analysis of data sets can find new correlations to “spot business trends, prevent diseases, combat crime and so on.” Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics,connectomics, complex physics simulations, biology and environmental research (Reichman OJ, 2011). 1.7 Definition of Terms IoT:The Internet of things is the extension of Internet connectivity into physical devices and everyday objects. Embedded with electronics, Internet connectivity, and other forms of hardware, these devices can communicate and interact with others over the Internet, and they can be remotely monitored and controlled. Big Data:”Big data” is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software Security:Security is freedom from, or resilience against, potential harm (or other unwanted coercive change) caused by others. Beneficiaries (technically referents) of security may be of persons and social groups, objects and institutions, ecosystems or any other entity or phenomenon vulnerable to unwanted change by its environment. Privacy:Privacy is the ability of an individual or group to seclude themselves, or information about themselves, and thereby express themselves selectively. The boundaries and content of what is considered private differ among cultures and individuals, but share common themes.