When data do not fit in main memory (RAM), external (or secondary) memory is used. Magnetic disks are the most commonly used type of external memory. When compared to RAM, disks have these properties (see chapter 18 of [1] for a more thorough discussion): 1. Usually disks can store much more data than RAM. 2. Access to data on disk drives is much slower than access to RAM (by orders of mag-nitude). 3. Because of the mechanics of disk drives, it takes a lot of time to access a random byte on a disk, but it is relatively fast to transfer that byte and subsequent bytes from the disk to RAM. This means that it is beneficial to access data on the disk in large portions called blocks or pages. The block sizes from 2Kb to 16Kb are common for moder...
In the big data era, retaining the capability to process and store the sheer amount of data has beco...
We propose a unified approach to disk-based search for de-terministic, non-deterministic, and probab...
Paper presents external sorting using data preprocessing. Generally, huge data of any organization p...
. Data sets in large applications are often too massive to fit completely inside the computer's...
Data sets in large applications are often too massive to fit completely inside the computer’s intern...
[[abstract]]This paper presents an optimal external sorting algorithm for two-level memory model. ...
Pattern databases (PDBs) have been widely used as heuristics for many types of search spaces, but th...
Interactive data analysis is often conveniently done on personal computers that have limited memory....
A versatile variant of Heapsort, adapted for external disk sorting, is presented. On a single proces...
Today we’re starting a completely new topic, which is the external memory model, also known as the d...
External memory sort has been widely accepted as an overall benchmark to evaluate the processing per...
Abstract-Memory resident database systems (MMDB’s) store 2) Main memory is normally volatile, while ...
The original publication is available at www.springerlink.comThe data sets for many of today's compu...
In this paper, I explore the physics that makes some of the most important types of computer memory ...
This paper presents an analysis of I/O (read and write) complexities of the external sorting algorit...
In the big data era, retaining the capability to process and store the sheer amount of data has beco...
We propose a unified approach to disk-based search for de-terministic, non-deterministic, and probab...
Paper presents external sorting using data preprocessing. Generally, huge data of any organization p...
. Data sets in large applications are often too massive to fit completely inside the computer's...
Data sets in large applications are often too massive to fit completely inside the computer’s intern...
[[abstract]]This paper presents an optimal external sorting algorithm for two-level memory model. ...
Pattern databases (PDBs) have been widely used as heuristics for many types of search spaces, but th...
Interactive data analysis is often conveniently done on personal computers that have limited memory....
A versatile variant of Heapsort, adapted for external disk sorting, is presented. On a single proces...
Today we’re starting a completely new topic, which is the external memory model, also known as the d...
External memory sort has been widely accepted as an overall benchmark to evaluate the processing per...
Abstract-Memory resident database systems (MMDB’s) store 2) Main memory is normally volatile, while ...
The original publication is available at www.springerlink.comThe data sets for many of today's compu...
In this paper, I explore the physics that makes some of the most important types of computer memory ...
This paper presents an analysis of I/O (read and write) complexities of the external sorting algorit...
In the big data era, retaining the capability to process and store the sheer amount of data has beco...
We propose a unified approach to disk-based search for de-terministic, non-deterministic, and probab...
Paper presents external sorting using data preprocessing. Generally, huge data of any organization p...