EDOT - Low-power Distributed NoSQL Database for loT Middleware

The Internet will become to the Internet of Things (loT). It provides connectivity for everyone and everything that embeds some intelligence in Internet-connected objects to communicate, exchange information, take decisions, invoke actions and provide amazing services. This will bring a new ubiquitous computing and communication era and change people's lives (drastically/entirely). Moreover, the most important component in loT is database that used for collecting and storing a lot of data from ubiquitous sensing devices. Even though, cloudbased storage solutions are becoming increasingly popular in recent years, it is inconvenient for residential environments because the sensing devices should be connected to the internet for simultaneously sending data to cloud computing. However, this solution has a high cost implication and high power consumption. Project Center in Tirunelveli Therefore, the credit-card sized computer which is fully functional is a good alternative. It is small and inexpensive computer that provides a new opportunity for loT hardware. As a result, it is possible to use Raspberry Pi as a database server. In this paper, we will explain how to construct a database server for loT middleware that has data distribution and low-power consumption by using credit-card size computers which have satisfactory performances and affordable price.

Nowadays, the Internet will become to the Internet of Things (loT) that is able to have an immediate access to information about the physical world and its objects. It has been introduced to integrate the virtual world of information and the real world of devices. loT covers the infrastructure, which can be hardware, software and services, to support the networking of physical world objects [1,2]. The loT aims to provide a simple interaction between the physical world and the virtual world, by integrating a large numbers of real-world physical devices (or things) into the Internet. Therefore, it provides connectivity for everyone and everything that embeds some intelligence in Internet-connected objects to communicate, exchange information, take decisions, invoke actions and provide amazing services [2,3]. This will bring a new ubiquitous computing and communication era and change people's lives (drastically/entirely). One of the most important components in loT is the database.

  It will work in role for collecting and storing a lot of data from ubiquitous sensing devices [1]. The presence of smart devices able to sense physical objects and translate them into a stream of information data, as well as the loT devices able to trigger actions, maXUTIlzes safety, security, comfort, convenience and energy-savings. These devices will reach nearly 26 billion connected devices by 2020. It is important to develop artificial intelligence algorithms which could be centralized or distributed for supporting. One of the key platforms for loT is the credit-card size computer such as Raspberry Pi. It is a popular platform because it offers a complete Linux server in a tiny device with very low cost and satisfactory performance. In this paper, we will explain how to construct database server for loT middleware that have data distribution and lowpower consumption by using credit-card size computer like Raspberry Pi with satisfactory performances and affordable price. It is a perfect platform for interfacing with many ubiquitous sensing devices of residential environment such as homes, offices, or farms.

In conclusion, we discuss operation time, power consumption, energy efficiency of Raspberry Pi. It offers a distinct advantage over x86 machine in efficiency. EDOT Technologies In our perfonnance comparison, we have evaluated the operation time and power consumption of Raspberry Pi and x86 machine. The results show that Raspberry Pi consumes 45% less than x86 machine in terms of power consumption. Regarding the evaluation result, it will support us to develop a simple and flexible database for loT middleware using creditcard size computer hardware and MongoDB database engine as affordable database server in the future.