Comparative Analysis, Security Aspects & Optimization ofWorkload in Gfs Based Map Reduce Framework in Cloud System
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: This paper discusses a propose cloud infrastructure that combines On-Demand allocation ofresources with improved utilization, opportunistic provisioning of cycles from idle cloud nodes to otherprocesses It provides fault tolerance while running on inexpensive commodity hardware, and it delivers highaggregate performance to a large number of clients.Because for cloud computing to avail all the demandedservices to the cloud consumers is very difficult. It is a major issue to meet cloud consumer’s requirements.Hence On-Demand cloud infrastructure using map reduce configuration with improved CPU utilization andstorage utilization is proposed using Google File System by using Map-Reduce. Hence all cloud nodes whichremains idle are all in use and also improvement in security challenges and achieves load balancing and fastprocessing of large data in less amount of time. Here we compare the FTP and GFS for file uploading and filedownloading; and enhance the CPU utilization and storage utilization and fault tolerance,.Cloud computing moves the application software and databases to the large data centres, where themanagement of the data and services may not be fully trustworthy. Therefore this security problem is solve byencrypting the data using encryption/ decryption algorithm and Map-Reducing algorithm which solve theproblem of utilization of all idle cloud nodes for larger data.
Authors and Affiliations
Rahul U. Patil , Atul. U. Patil
Keywords
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