Secure Cloud Computing Platform For History Data Mining Of Traffic Information

Today is the world of IOT (Internet of things) and so that data is producing at very high rate in the form of Big data. That is why it becomes very difficult for companies and organizations to invest too much upfront cost for the setup of infrastructure and platform to handle this big amount of data. Cloud computing has come in boom around the year 2007 with rapidly growing innovative social and business organizations. Cloud computing allows its users to use the on-demand resources from shared pool of configurable resources at a very nominal price.

Meanwhile, data sharing is a large part of Boston’s efforts to improve the quality of life for their residents. And the City of Boston eagers to improve BAR from a data collection effort to a citywide performance management system accessible in real-time from any device. Big data provides an unprecedented opportunity to deliver improved services. It is a good chance to analyze large data sets, find the value of data and tell the story of the City of Boston in new way.

from the provider or causing loss of service for our company as well and any of the multitenant

As the data are getting more and more easily accessed and analyzed by software and algorithms, the development of Urban Science has entered a new era. The urban technologies have being created to tackle the universe of the big data, and the popularized use of Mobile devices has made data collection never so easy. Data is everywhere, anytime and in any format. The science of data can be highly applicable to almost any industries, such as medicine, urban planning, health care, and economics, etc. Most of them are closely connected to citizens’ everyday lives, so the responsibilities of regularizing the data use from private or public uses become extremely crucial for the progress of the overall economy.

Today with the ever growing use of computers in the world, information is constantly moving from one place to another. What is this information, who is it about, and who is using it will be discussed in the following paper. The collecting, interpreting, and determination of use of this information has come to be known as data mining. This term known as data mining has been around only for a short time but the actual collection of data has been happening for centuries. The following paragraph will give a brief description of this history of data collection.

Visionary executives are finding opportunities beyond existing and traditional data repositories, such as on-premises CRM and ERP systems. Today 's data can include social media posts, customer journey information, Internet of things (IoT) data, and more.

In the simplest terms, cloud computing means storing and accessing data and programs over the Internet instead of your computer 's hard drive. What cloud computing is not about is the hard drive. When someone tries to store data on or run programs from the hard drive, it is called local storage and computing. Everything end users’ need is physically close to them, which means accessing your data is fast and easy, for that one computer, or others on the local network. Working off your hard drive is how the computer industry functioned for decades; some would argue it 's still superior to cloud computing, for reasons I 'll

In the course of recent years, rise of Cloud Computing has strikingly made an advancement in the IT business. Distributed computing is of developing enthusiasm to organizations all through the world, yet there are numerous obstructions connected with its appropriation which ought to be dispensed with.

Distributed computing gives us a methods by which we can get to the applications as utilities, over the web. It permits us to make, arrange, and redo the business applications on the web. This excercise will make you through a stride by-step methodology while learning Cloud Computing ideas.

Google Maps puts a large amount of data at the user’s fingertips: road maps, accidents, road closures, travel distances, and alternative solutions. The current traffic conditions are reported and historic conditions are available

The internet has changed the ways in which data can be collected and more importantly, it has changed the amount of data available (Grover, 2014). Social behaviors, networking behaviors and information sharing are providing organizations with volumes of data and there is a need to be able to understand, manage and define all of the information. This trend of voluminous data is known as, “big data.” According to the International Journal of Computer and Electronics Research, in 2014, there is no extensive reference architecture currently available for big data (Grover, 2014). Several small scale data architectures exist, but most are limited in scope or missing the functional views which help an organization map technology to function

As Big Data problems evolve, each application have its own characteristics with respect to their data and analysis process. Firstly, besides the huge amount of historical data, streaming data plays an important role. For instance, GPS ground stations do monitor and predict geological events on earthquakes generates lots of real time data which needs streaming data processing. Automatic trading systems in stock market needs dynamic

Acquiring and maintaining the large data of citizens which has up-to date information and is collected from different sources is not an easy task. It requires big financial commitment. For ex, people are not always update their contact information or residence status. While acquiring the information, campaigns also need to be observing their own processes carefully as to reduce the accidental encounters and interviews with citizens who have already been contacted multiple times. Another issue with managing big data that the campaign faces is the integration of data procured from different sources. There is rarely any link between the data received from digital communication to the data received from field operation such as phone calls,

Big data is a term to explain large complex data set, and big data is challenging the traditional data handling method. The big data itself is useless, but after processed and analyzed the big data would generate valuable information. This article would discuss relevant technologies and areas in the big data age.

Cloud Computing appears as a computational paradigm as well as a distribution architecture and its main objective is to provide secure, quick, convenient data storage and net computing service, with all computing resources visualized as services and delivered over the Internet [2,3]. The cloud enhances collaboration, agility, scalability, availability, ability to adapt to fluctuations according to demand, accelerate development work, and provides potential for cost reduction through optimized and efficient computing [4].As the data