Evolution in big data analytics on internet of things: Applications and future plan

Abstract

The term Big Data shows the large and varied set of electronic information that can be the combination of data collected from multiple sources. Reliably, we make 2.5 quintillion bytes of facts; so much that 90% of the facts on earth nowadays has been made over the trendy two years alone. Security and surety problems are widely spreading out by using velocity, volume, and mixture of colossal records, as an example, generous scale cloud systems, varying characteristics of information sources and setups, spilling nature of information acquirement and high extent among cloud movements. IoT is a great idea for everyone and also the best path for innovation age. The IoT could play a very important role and be extensively delivered with the aid of the splendid amount of heterogeneous devices that produce critically “Huge information” (Lee et al. Research on iot based cyber physical system for industrial big data analytics. IEEE, pp. 1855–1859, [1]). As we know that a number of records are being gathered today through numerous associations and these records need a large storage, so how to accommodate a large memory space is also a big question in today scenario. It ends up being computationally wasteful to dissect any such huge data. The amount of the handy crude facts has been developing an exponential scale. A standout amongst the maximum vital highlights of IoT is its ongoing or close to constant correspondence of facts approximately the “connected matters”. The four precept peculiarity of IoT is (a) Large information degree (TBs to PBs), (b) High velocity of statistics circulation, information alternate (OLTP) and facts making ready (OLAP, examination) (c) Diverse prepared and unstructured information, differing information models and inquiry dialects, diverse facts resources and veracity (Rizwan et al. Real-time smart trafficmanagement systemfor smart cities by using internet of things and big data. IEEE, pp. 1–7, [2]). Big data and IoT are widely used in many applications worldwide. Many researchers are working day night to improve the services of Big data and IoT. There are many deficiencies are present in both the technologies. And the most common is its security. Big data and IoT both requires the concern about its security. The reason behind is that, the big data and IoT applications are accessing the use of cloud widely. And in many cases, the data stored to cloud is very secret. So from the security point of view, it is necessary to take these technologies seriously. Some researchers are also working on RFID and Internet of Things, like a combine approach. RFID is also a latest technology and due to its deficiencies, RFID technology is extracting out by many vendors. In UK, big numbers of RFID cards have been deployed in many places but it failed due to lacking in security. To improve RFID security, researchers are also having a look at IOT. The question is what the outcome will be. Will the researchers get success by using this combine approach? May be yes. In this chapter, some applications are discussed and try to explain the utilization of Big data and IoT in brief. Secondly, the deficiencies are also the matter of concern in the chapter. The desired solutions to overcome the drawbacks of the Big Data and Internet of Things are also discussed. This chapter is present about the development in the subject of Big Data on Internet of things applications.