Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Expert Solution & Answer
Chapter 21, Problem 6PE
Explanation of Solution
a.
Distributing the copies of the data items:
- When we create Multiple node copy, we can recover the data from anywhere. Whereas, if there is a single node, we cannot recover the data if the data is lost.
- A distributed
database is a database where the data is stored at various physical locations. This may be housed in several multiple computers in the very same spatial location, or even distributed over an integrated webserver. - Except for parallel systems, where the processors are closely connected and form a single database structure, a database management system comprises of loosely connected sites that do not share any hardware elements.
- Software developers can spread collected data across several physical locations.
- On organized network servers or decentralized independent devices on the Internet, on organizational intranets or extranets, or on certain systems of organizations, a centralized database may reside.
- There is a fact that distributed databases store data through many devices, and distributed databases can boost efficiency at end-user construction sites by enabling payments to be performed on several machines, rather than being restricted to one...
Program Plan Intro
b.
RAID:
- RAID stands for Redundant collection of separate disks, a way to store data on several drives.
- There are multiple types of RAIDs, each of which provides various benefits.
- Even then, RAID also has some drawbacks, so it's crucial to understand which occurs when.
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Students have asked these similar questions
Design a dynamic programming algorithm for the Longest Alternating Subsequence problem
described below:
Input: A sequence of n integers
Output: The length of the longest subsequence where the numbers alternate between being larger and
smaller than their predecessor
The algorithm must take O(n²) time. You must also write and explain the recurrence.
Example 1:
Input: [3, 5, 4, 1, 3, 6, 5, 7, 3, 4]
Output: 8 ([3, 5, 4, 6, 5, 7, 3, 4])
Example 2:
Input: [4,7,2,5,8, 3, 8, 0, 4, 7, 8]
Output: 8 ([4, 7, 2, 5, 3, 8, 0,4])
(Take your time with this for the subproblem for this one)
Design a dynamic programming algorithm for the Coin-change problem described below:
Input: An amount of money C and a set of n possible coin values with an unlimited supply of each
kind of coin.
Output: The smallest number of coins that add up to C exactly, or output that no such set exists.
The algorithm must take O(n C) time. You must also write and explain the recurrence.
Example 1:
Input: C24, Coin values = = [1, 5, 10, 25, 50]
Output: 6 (since 24 = 10+ 10+1+1 +1 + 1)
Example 2:
Input: C = 86, Coin values = [1, 5, 6, 23, 35, 46, 50]
Output: 2 (since 86 = 46+35+5)
Design a dynamic programming algorithm for the Longest Common Subsequence problem de-
scribed below
Input: Two strings x = x1x2 xm and y = Y1Y2... Yn
Output: The length of the longest subsequence that is common to both x and y.
.
The algorithm must take O(m n) time. You must also write and explain the recurrence.
(I want the largest k such that there are 1 ≤ i₁ < ... < ik ≤ m and 1 ≤ j₁ < ... < jk ≤ n such that
Xi₁ Xi2 Xik = Yj1Yj2 ··· Yjk)
Example 1:
Input: x = 'abcdefghijklmnopqrst' and y = 'ygrhnodsh ftw'
Output: 6 ('ghnost' is the longest common subsequence to both strings)
Example 2:
Input: x = 'ahshku' and y = ‘asu'
Output: 3 ('asu' is the longest common subsequence to both strings)
Chapter 21 Solutions
Database System Concepts
Knowledge Booster
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