Data Segmentation using Data Mining Technique to Enhance the Performance in Cloud Computing

Abstract

The cloud in cloud computing can be defined as a set of networks, storage, hardware, interfaces and services that combines to deliver aspects of computing as a service. Cloud services include the delivery of infrastructure, storage and software over the internet based on user demand. There are hundreds of cloud storage providers on the Web like Google Docs, Yahoo Mail, Picassa, You Tube etc. Cloud computing provides advantages like unlimited storage capacity, lower computer cost, improvement in performance, increased data reliability etc. There are also some disadvantages like data redundancy, data hording, data security and portability. newlineConsidering these disadvantages, I propose to undertake a study on the aspects of data storage and fetching to reduce problems of data redundancy and hording. Since trillions of Gigabytes of data is uploaded over the cloud every year, the focus of my study will be on how data is stored over the cloud and to simplify the same. It will ease out the pressure on the cloud network and improve its efficiency and in turn data fetching. newlineFor improving efficiency, a hybrid model will be introduced named as Data Segregation Model . Data Segregation Model will decide which data will be stored in local network or in cloud. Data Segregation Model will give more efficient result than oth*er popular algorithm. Comparison shows how accurate the algorithm is working. newlineIn future, the scope of the research in the field of cloud computing can be on the lines of hybrid models, synchronise local area networks with cloud networks to improve data security and efficiency. newlineACKNOWLEDGEMENT newlineI would like to acknowledge my indebtedness and render my deepest gratitude to my guide, Prof. (Dr.) Sanjay Shah Director, Narsinhbhai Institute of Computer Studies and Management, Kadi, who made this work possible. His friendly guidance expert advices have been invaluable throughout all stages of the work. newlineI would also wish to express my gratitude to Prof. (Dr.) Atul Patel for extended discussions and valuable suggestions