https://github.com/ajaykumar4/distributed_file_system

https://github.com/ajaykumar4/distributed_file_system

Last synced: 11 days ago
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• Host: GitHub
• URL: https://github.com/ajaykumar4/distributed_file_system
• Owner: ajaykumar4
• Created: 2017-11-29T14:29:25.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2017-12-16T01:36:00.000Z (about 7 years ago)
• Last Synced: 2024-11-21T06:19:43.728Z (2 months ago)
• Language: Python
• Size: 91.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Distributed_File_System

To run the Distributed_File_System, First need to Run dfs_server followed by dfs_client. The dfs_server and dfs_client code can be executed using an IDE such as PyCharm, or by performing in the terminal . dfs_client code can be executed multiple time in the different terminal.

To run the Server in Python 3.6+

python ./dfs_server.py

To run the Client in Python 3.6+

python ./dfs_client.py

There are a number of commands that can be run on the client that will have suitable responses returned by the server

ls                   - list files and directories in the current directory

ls directorypath  	 - list files in specified directory

cd directorypath	    - move to specified directory

up			              - move up one directory

read filepath 		    - read the contents of a file

write file_name 	     - writes file from current directory on local machine to the current directory on the remote server

mkdir filename       	 - make a directory at the following path

rmdir filename 		     - delete a directory and its contents

lock filename		        - locks the specified file

release filename 	      - releases a specified file

exit 			              - exit the client

Following Features are implemented :

+ Distributed transparent file access

+ Directory Service

  * The current position of each client is stored in their object on the server. There are functions that resolve paths

+ Caching (in the client)

  * a list of recently viewed items is stored

  * a thread is charged with making sure items are discarded after a set  period of time.

+ Locking

  * Items being written to or deleted require a lock

  * Locks are stored in a list on the server

  * A thread has the task of checking that all of the locks have an owner who is active on the server. This process runs every minute.

+ Logging

  * All events are logged on the server and can be viewed

threadpool.py file is downloaded from

 http://code.activestate.com/recipes/577187-python-thread-pool/