updated readme file

README.mkd

@@ -5,7 +5,7 @@
 
 # DEDISbench and DEDISgen
 
-DEDISbench is implemented in C and allows performing read and write block disk I/O tests or in a raw device. DEDISbench main contribution is the ability to process, as input, a file that specifies a distribution of duplicated content and using this information for generating a synthetic workload that follows such distribution. This file can be populated by the users or can be generated automatically with DEDISgen, an analysis tool that can be used for processing a specific real dataset and extracting from it the duplicates information.
+DEDISbench is implemented in C and allows performing read and write block disk I/O tests in a file-system or in a raw device. DEDISbench main contribution is the ability to process, as input, a file that specifies a distribution of duplicated content and using this information for generating a synthetic workload that follows such distribution. This file can be populated by the users or can be generated automatically with DEDISgen, an analysis tool that can be used for processing a specific real dataset and extracting from it the duplicates information.
 
 I/O operations can be executed concurrently by several processes with independent files. Moreover, the benchmark can be configured to stop the evaluation when a certain amount of data has been written or when a pre-defined period of time has elapsed. Another novel feature is the possibility of performing I/O operations with different load intensities. In addition to a stress load where the benchmark issues I/O operations as fast as possible to stress the system, DEDISbench supports performing operations at a nominal load specified by the user.
 
@@ -17,7 +17,7 @@ For more information regarding DEDISbench algorithm you may read these two publi
 
 # I/O benchmark:
 
-The benchmark is written in C and can simulate several processes writing/reading fixed size blocks concurrently into multiple files. The location for the write operations is given by NURand function from TPC-C benchmark that generates hotspots for I/O operations. A realistic distribution extracted from real storage systems is used to generate the blocks' content. Moreover, it is possible to use other distributions and load them from a custom file using DEDISgen. DEDISbench provides two workload modes, one reproduces a fully or peak loaded system, as Bonnie++, that performs as maximum write I/O operations per second as possible. The second reproduces a system under a reasonable nominal load, and can be useful for understanding the behavior of aliasing operations in a stable system with a limited I/O throughput.
+The benchmark is written in C and can simulate several processes writing/reading fixed size blocks concurrently into multiple files or in a raw block device. The location for the write operations is given by NURand function from TPC-C benchmark that generates hotspots for I/O operations. A realistic distribution extracted from real storage systems is used to generate the blocks' content. Moreover, it is possible to use other distributions and load them from a custom file using DEDISgen. DEDISbench provides two workload modes, one reproduces a fully or peak loaded system, as Bonnie++, that performs as maximum write I/O operations per second as possible. The second reproduces a system under a reasonable nominal load, and can be useful for understanding the behavior of aliasing operations in a stable system with a limited I/O throughput.
 
 
 # DEDISbench real content distributions: