Green Data Mining (G-DM) Based Energy Consumption on Internet of Things: A Review

Abstract

ABSTRACT

The vast Internet of Things (IoT) data is considered to be of high business value, and data mining algorithms can be applied to the IoT to extract secret information from data. A very large and enormous amount of data is generated or accessed using IoT. The amount of data analysed is increasing as devices are increasingly connected. Enabling smart interactions with users is one of the important aspects of IoT (such as automation of services). In order to make the IoT system smart enough to provide suitable services and environments, data mining plays a crucial role. The ability of devices, applications and services to implement data mining is the most important factor in IoT. When we apply data mining to IoT, IoT-collected data is transformed into serviceable information, and then this data is converted into user-needed knowledge. Green information and communication technology are an emerging field of research and development, and energy-efficient designs for IT systems are a major factor in this area. The accuracy of outcomes with current consumption efficiency and good latency, commonly known as inaccurate or estimated computing, is one of the most sought-after solutions. In this regard, some approximation techniques used to achieve energy-efficient data mining or green data mining with the best possible results for a given permissible deviation are used. The majority of businesses currently have data centers to store their data; high-end processing machines and devices are what data centers need. The implementation of green database techniques, however, helps to reduce the amount of energy that data centers consume. Patients and costs are required for implementing data warehouses and data centers. The installation of a data warehouse can be very expensive without proper planning, particularly when it comes to electricity. The idea of reducing energy consumption when analyzing data collected by IoT devices and making the world secure is envisaged by Green Data Mining. This paper addressed the techniques used to reduce data center energy usage, thus moving data from IoT devices to data centers and analyzing data using data mining on data center servers.

Keywords: Green data mining, Internet of Things, energy consumption, network, server, data center, smart city.