Big data clustering using grid computing and ant-based algorithm

• Main Author: Ku-Mahamud, Ku Ruhana
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/13689/1/Keynotes%202.pdf; http://repo.uum.edu.my/13689/; http://www.icoci.cms.net.my
• Institution: Universiti Utara Malaysia

Big data has the power to dramatically change the way institutes and organizations use their data. Transforming the massive amounts of data into knowledge will leverage the organizations performance to the maximum.Scientific and business organizations would benefit from utilizing big data. However, there are many challenges in dealing with big data such as storage, transfer, management and manipulation of big data.Many techniques are required to explore the hidden pattern inside the big data which have limitations in terms of hardware and software implementation. This paper presents a framework for big data clustering which utilizes grid technology and ant-based algorithm.