Minimize Execution latency in Hadoop using SVM
Jalpa Shah, Saket J Swarndeep · International journal of advance research and innovative ideas in education · 2017
Hadoop is one of such type of database which stores the data in distributed manner in the cloud system. Data processing is done in terms of Jobs where client send data file to Master node which is consider as job and Master node assigns that jobs to slave node, but there may be currently no slave node is free or available to process the job at that time Master node checks its resources queue for next available node which can be used to assign job as the slave node gets frees. In Conventional approach, there is gap in case of effective caching of jobs data; also the best slave node for effective caching is not predicted in conventional approach which can be incorporated with the help of SVM algorithm in this work.