Impact on memory utilization with deadline i/o scheduler customization
International Journal of Development Research
Impact on memory utilization with deadline i/o scheduler customization
Received 05th April, 2017; Received in revised form 29th May, 2017; Accepted 26th June, 2017; Published online 31st July, 2017
Copyright ©2017, Rabin Dahal and Surendra Shrestha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The goal of this study was to quantify memory utilization under varying work load for plain text file systems to database system with customization of existing deadline I/O scheduler. The investigation identified possibility of performance enhancement by modifying existing deadline I/O scheduler by optimizing rearrangement of blocks numbers from kernel to device drivers where the sequence of block numbers undergoes clustering via k-means clustering and later re-arranged so the disk's head movement is minimized.
