Journal of Computer Sciences and Applications
ISSN (Print): 2328-7268 ISSN (Online): 2328-725X Website: Editor-in-chief: Minhua Ma, Patricia Goncalves
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Journal of Computer Sciences and Applications. 2015, 3(6), 134-136
DOI: 10.12691/jcsa-3-6-5
Open AccessArticle

Performance Evaluation of Big Data by Applying Ant Colony Optimization Techniques

Prasad Suman Sourav1, Mohanty Anita1 and Mishra Sambit Kumar2,

1Department of MCA, A.B.I.T., Cuttack

2Department of Computer Sc.&Engg, Gandhi Institute for Education & Technology, Bhubaneswar

Pub. Date: December 30, 2015

Cite this paper:
Prasad Suman Sourav, Mohanty Anita and Mishra Sambit Kumar. Performance Evaluation of Big Data by Applying Ant Colony Optimization Techniques. Journal of Computer Sciences and Applications. 2015; 3(6):134-136. doi: 10.12691/jcsa-3-6-5


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.

big data ant colony optimization cloud computing query optimization

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