Skip to content

Basic machine emulator and simple OS, which can run any 'Eternal Binary' mentioned above. We will emulate the original environment for the reader application at the time of storage and open the data in it. Hence, we get the original rendering effect of the data being preserved.

Notifications You must be signed in to change notification settings

arunk2/data-longevity

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

35 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Motivation:

Follwing statements from research papers of a course 'Storage Systems' @ IISc Bangalore is the starting of this project.

  • 'Digital information lasts forever or five years, whichever comes first'
  • 'Old bit streams never die -they just become unreadable'
    • By Jeff Rothenberg, scientist and specialist in digital longevity

Problem Statement – Data Longevity:

Why Data Longevity?

  • Availability of data (after 10, 50, 100, 1000 years)
  • Big data –3Vs (Variety, Volume, Velocity)
  • Availability of the data is jeopardized
  • Will standardization of data formats?
  • Lot of proprietary formats -huge market share

Solution:

  • Migrating the application(or a part of app used for viewing) to a standard format and retaining it along with original data for preservation.
  • At any point in future (after 1 day, 1 year, 10 or 100 years), we ensure the guaranteed rendering of original data with the corresponding application.
  • We have a Basic machine emulator and simple OS, which can run any 'Eternal Binary' mentioned above. We will emulate the original environment for the reader application at the time of storage and open the data in it. Hence, we get the original rendering effect of the data being preserved.

About

Basic machine emulator and simple OS, which can run any 'Eternal Binary' mentioned above. We will emulate the original environment for the reader application at the time of storage and open the data in it. Hence, we get the original rendering effect of the data being preserved.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published