The role of big data analytics in Internet of Things

Статистика, учет и аудит, 2021

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.

2018

The rate at which devices are connected to the internet which form IOT are increasing rapidly. All these devices produce huge amount of data. To process such voluminous amount of data is a challenging task. The big data management system has many tools which can be efficiently used for collection, processing and analytics of data. This review paper highlights the role of big data in IoT(Internet of Things) and recent advances in big data management and analytics in the IoT paradigm. As the number of devices and data generated by these devices are increasing rapidly, therefore it is challenging task to process, manage and analyze big data in scalable, cost-effective and distributed manner

As advancements in communication and technology move forward, the Internet has become an integral tool for connecting various machines and sensor devices. This concept, most importantly is considered the Internet of Things, enabling seamless integration of a vast majority of objects via the accessibility of the Internet. The Internet of Things recently has evolved and developed, this includes a great range of devices and systems such as cars, smart doors, locks, and even lights, along with traditional household appliances. Every day, such sensor-based devices create massive amounts of data, which we refer to as "Big Data." By analyzing this data, we can uncover solutions to everyday problems. In light of this, this paper explores the potential of utilizing Big Data techniques and tools in IoT frameworks and provides valuable insight on how to effectively perform this.

IEEE Access, 2017

Voluminous amounts of data have been produced, since the past decade as the miniaturization of Internet of things (IoT) devices increases. However, such data are not useful without analytic power. Numerous big data, IoT, and analytics solutions have enabled people to obtain valuable insight into large data generated by IoT devices. However, these solutions are still in their infancy, and the domain lacks a comprehensive survey. This paper investigates the state-of-the-art research efforts directed toward big IoT data analytics. The relationship between big data analytics and IoT is explained. Moreover, this paper adds value by proposing a new architecture for big IoT data analytics. Furthermore, big IoT data analytic types, methods, and technologies for big data mining are discussed. Numerous notable use cases are also presented. Several opportunities brought by data analytics in IoT paradigm are then discussed. Finally, open research challenges, such as privacy, big data mining, visualization, and integration, are presented as future research directions. INDEX TERMS Big data, Internet of Things, data analytics, distributed computing, smart city.

Big Data and The Internet of Things (IoT) are two evolving technology topics in latest years which are considered as two sides of the same coin. The main idea behind the IoT is that almost every object or device will be having an identity, physical attributes and will be linked to each other forming a machine to machine (M2M) communication without a human intervention. This paper presents the important role Big Data with its massive volumes that could not be processed using traditional computing techniques due its nature also the mountain of data that Internet of Things produces, which is not merely a data rather it becomes a complete subject involves various tools, techniques and framework, it would be useless without Big Data analytics power, both Big Data and Internet of Things become an essential solution affecting our life due the transformation to smart life. Therefor this paper outlines the Big Data and its relevance to Internet of Things and data science, Hadoop as an open source framework with different components and structures has an essential role in big data processing, also the privacy and security challenges and how the big data problems in IoT are reviewed from a reliability engineering perspective and how both are integrated to support new supply chain management methods using radio frequency identification (RFID) and global positioning system (GPS) technology are quickly being adopted by companies as various inventory management benefits are being realized.

2018

The Internet of Things (IoT) envisions a world-wide, interconnected network of smart physical entities. These physical entities generate a large amount of data in operation and as the IoT gains momentum in terms of deployment, the combined scale of those data seems destined to continue to grow. Increasingly, applications for the IoT involve analytics. Data analytics is the process of deriving knowledge from data, generating value like actionable insights from them. This article reviews work in the IoT and big data analytics from the perspective of their utility in creating efficient, effective and innovative applications and services for a wide spectrum of domains. We review the broad vision for the IoT as it is shaped in various communities, examine the application of data analytics across IoT domains, provide a categorisation of analytic approaches and propose a layered taxonomy from IoT data to analytics. This taxonomy provides us with insights on the appropriateness of analytica...

International Journal of Scientific Research in Science, Engineering and Technology, 2019

As sensors are adopted in almost all the fields of life, the Internet of Things (IoT) is triggering a massive influx of data. It is crucial to have efficient and scalable methods to process this data to gain valuable insight and take timely actions. The future vision of internet is to connect everything, such as connecting things like transportation networks, communication networks, etc. All these data which will be generated by all this connected millions of devices will not be useful without analytic power. Numerous big data, IoT, and analytics solutions have enabled people to obtain valuable insight into large data generated by IoT devices. However, these solutions are still in their infancy, and the domain lacks a comprehensive survey. This paper investigates the state-of-the-art research efforts directed toward big IoT data analytics. The relationship between big data analytics and IoT is explained. Moreover, this paper adds value by proposing a new architecture for big IoT data analytics. This paper will discuss about the possible architecture of the IoT Big data analytics and also will discuss some industry use-cases.

IEEE Access

The current exponential advancements in the Internet of Things (IoT) technologies pave a vast intelligent computing platform by integrating smart objects with sensing, processing and communication capabilities. The core element of IoT is the complex big data generated from different interconnected sources at real-time, presenting divergent processing and analysis challenges. Best practices in software engineering have been continuously addressed in IoT technologies to handle such big data efficiently at different domains. Despite of the massive studies dedicated for IoT, no explicit processing architecture is proposed based on real investigation of software engineering concepts and big data analytics characteristics in IoT. This paper provides a systematic literature review for the current state-of-the-art of IoT systems in different domains. The study investigates the current techniques and technologies that serve IoT systems from the big data analytics and software engineering perspectives, revealing a matrix for the specific IoT data features and their encountered challenges and gaps for each domain. The review deduces a proposed domain-independent software architecture for big IoT data analytics, maintaining various IoT data processing challenges, including data scalability, timeliness, heterogeneity, inconsistency, confidentiality and correlations. Finally, the main research gaps are emphasized for future considerations. INDEX TERMS Big data, data mining, internet of things, IOT, software engineering.

Internet of Things (IoT) is a substantial concept of a new technology generation. It is a vision that permits the sensors or embedded devices to be interconnected over the Internet. The upcoming IoT will be greatly presented by the enormous quantity of heterogeneous networked embedded devices that generate intensively "Big data". Enormously a large amount of data is being collected today by many organizations and in a continuous raise. It turns out to be computationally inefficient to analyze such a massive data. The quantity of the available raw data has been expanding on an exponential scale. In a massive database, the valuable information is hidden. The new developed Big data techniques can handle many challenges that face data analysis and have the ability to extract valuable information. This survey shows the study of IoT and Big data. The survey discusses Big data on IoT and how it is created. Many IoT existing, future application and a variety of IoT technologies whether wired or wireless are viewed. Challenges and techniques that solve these issues are discussed and the architecture of IoT is observed.

IAEME PUBLICATION, 2020

The Internet has helped technology and communication to grow very fast, which further increased the connection between different machines and sensor-based devices. This connection of machines or devices through the internet gives rise to the concept of IoT (Internet of Things). Various wearable devices like smart-watch, cars, home appliances like washing machines, doors, door locks, lights, etc. are now connected over the Internet of things. These sensor devices produce Big data in bulk per day. This data can be used for analysis to solve out different day-today problems. This paper discusses different Big data tools and techniques that can be used for IoT frameworks. It also presented a way how Big Data can be used to analyze IoT data sets intelligently. Different platforms of Big-data Analytics are explained in detail, and light is given on which of them is best for IoT data