Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. Computer Science and Artificial Intelligence Lab (CSAIL)
  3. Artificial Intelligence Lab Publications
  4. AI Technical Reports (1964 - 2004)
  5. Logging and Recovery in a Highly Concurrent Database

Logging and Recovery in a Highly Concurrent Database

Thumbnail Image
Download
Name

AITR-1492.pdf

Size

2.46 MB

Format

Adobe PDF

Checksum (MD5)

3e05577cf6abe4723054a77e3293d131

Thumbnail Image
Download
Name

AITR-1492.ps.Z

Size

720.58 KB

Format

Unknown

Checksum (MD5)

884a292e8ef474e507b8c712888d9462

Author(s)
Keen, John S.
Date Issued
June 1, 1994
Series/Report no.
AITR-1492
Abstract
This report addresses the problem of fault tolerance to system failures for database systems that are to run on highly concurrent computers. It assumes that, in general, an application may have a wide distribution in the lifetimes of its transactions. Logging remains the method of choice for ensuring fault tolerance. Generational garbage collection techniques manage the limited disk space reserved for log information; this technique does not require periodic checkpoints and is well suited for applications with a broad range of transaction lifetimes. An arbitrarily large collection of parallel log streams provide the necessary disk bandwidth.
Subjects
databases
fault tolerance
transaction processing
sconcurrency
logging and recovery
Persistent DSpace Link
http://hdl.handle.net/1721.1/6782
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.