Performance Evaluation of Big Data by Applying Ant Colony Optimization Techniques

Abstract

Big data is a collection of huge amount of data. As the world is changing rapidly, many new technologies, devices such as smart phones, social networking sites have been evolved due to which the amount of data produced day by day is increasing rapidly. It has become a problem for many companies to process such a huge amount of data using traditional computing techniques. The collection of each and every data of a company(homogeneous or heterogeneous data) is called big data. Research is being carried out to find an appropriate algorithm to find an optimal solution when the size of the database increases. Most of the data we are handling today are of unstructured type like the data in social sites, research engines, blogs etc. The challenges we face with big data today is not only to store or link but also to retrieve, update and analyze them too. Now this big data is needed to be processed on some platform. This platform on which big data is operated is known as cloud computing. Anyone may process big data on cloud computing without the need of any specific software. Cloud computing can expand and shrink as per the need of storage. Cloud computing mainly provides resources as and when needed. As big data is also a kind of resource so it is also available through cloud computing. In this paper, ant colony optimization technique may be applied to evaluate the performance while processing queries in big data.