Using machine learning techniques to enhance the performance of an automatic backup and recovery system

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Annual Haifa Experimental Systems Conference

• Publication date

  2010-05-24

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1145/1815695.1815697
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• On the design of a new Linux readahead framework

  2008cited by this paper
• Frequent pattern mining: current status and future directions

  2007influential reference
• STEP: Sequentiality and Thrashing Detection Based Prefetching to Improve Performance of Networked Storage Servers

  2007cited by this paper
• AMP: Adaptive Multi-stream Prefetching in a Shared Cache

  2007cited by this paper
• SARC: Sequential Prefetching in Adaptive Replacement Cache

  2005cited by this paper
• Association Proceedings of the Third USENIX Conference on File and Storage Technologies San Francisco , CA , USA March 31 – April 2 , 2004

  2004cited by this paper
• An analytical approach to file prefetching

  1997cited by this paper
• Intelligent file hoarding for mobile computers

  1995cited by this paper
• Informed prefetching and caching

  1995cited by this paper
• Prefetch Support Relations in Object Bases

  1994cited by this paper
• A Multi-Threaded Architecture for Prefetching in Object Bases

  1994cited by this paper
• Fido: A Cache That Learns to Fetch

  1991cited by this paper
• Prefetching in realtime database applications

  1986cited by this paper
• Empirical results on locality in database referencing

  1985cited by this paper

• The Performance Optimization for Save and Restore Applications of Switching to New Firmware Using a Clean Install Approach

  2022cites this paper
• HyperProtect: Enhancing the Performance of a Dynamic Backup System Using Intelligent Scheduling

  2018cites this paper
• Identifying Trends in Enterprise Data Protection Systems

  2015cites this paper
• Scalable data analytics platform for enterprise backup management

  2014cites this paper