If the scale model works as predicted

To implement the various placement algorithms discussed for dynamic partitioning (see Section 7.2 ), a list of the free blocks o

STatiana [176]

Answer:

Check the explanation

Explanation:

Consider the following data

Let S represent the average number of segments

Let H represent the average number of holes

The probability that there is a hole immediately after the segment is 0,

So, when there are s segments in memory, there must be

$s X 0.5 or \frac{s}{2}$

Best-fit: this analyses the entire memory partitions available

a. you’ll have to selects the least one which is capable of handling the process exec.. Memo, space wastage .n be reduced In some cases, there will be no memory wastage

The average length a search is $\frac{s}{2}$

First-fit: This technique assigns Me the first hole that is big enough.

Searching Marts at the starting of Me set of holes.

The searching will be closed immediately a user gets a free hole that is big enough.

On an average it searches half of the set of holes.

The average length of search is Y2

$\frac{s/2}{2} = \frac{s}{4}$

5 0

3 years ago

A search engine that crawls uses

RoseWind [281]

Answer:

web crawlers or spider software

Explanation:

A search engine that crawls uses the web crawler or the spider software. And it also uses the server side JavaScript based crawlers and programming languages like Python and PHP. The search engine finds the content category through the meta keywords and directs the page to the index. The index contains details of similar types of pages, And each page has one category, and if category is not found which is rarest, a new category is being created.

7 0

3 years ago

Learning Management Systems (LMS) allow students to interact with each other, but NOT their teachers.

VMariaS [17]

Answer:

what do you mean friend not for teacher

8 0

3 years ago

Read 2 more answers

1. How many bits would you need to address a 2M × 32 memory if:

Dominik [7]

Answer:

a) 23 b) 21
a) 43 b) 42
a) 0 b) 0

Explanation:

1) How many bits is needed to address a 2M * 32 memory

2M = 2^1*2^20, while item =32 bit long word

hence ; L = 2^21 ; w = 32

a) when the memory is byte addressable

w = 8; L = ( 2M * 32 ) / 8 = 2M * 4

hence number of bits = log2(2M * 4)= log2 ( 2 * 2^20 * 2^2 ) = 23 bits

b) when the memory is word addressable

W = 32 ; L = ( 2M * 32 )/ 32 = 2M

hence the number of bits = log2 ( 2M ) = Log2 (2 * 2^20 ) = 21 bits

2) How many bits are required to address a 4M × 16 main memory

4M = 4^1*4^20 while item = 16 bit long word

hence L ( length ) = 4^21 ; w = 16

a) when the memory is byte addressable

w = 8 ; L = ( 4M * 16 ) / 8 = 4M * 2

hence number of bits = log 2 ( 4M * 2 ) = log 2 ( 4^1*4^20*2^1 ) ≈ 43 bits

b) when the memory is word addressable

w = 16 ; L = ( 4M * 16 ) / 16 = 4M

hence number of bits = log 2 ( 4M ) = log2 ( 4^1*4^20 ) ≈ 42 bits

3) How many bits are required to address a 1M * 8 main memory

1M = 1^1 * 1^20 , item = 8

L = 1^21 ; w = 8

a) when the memory is byte addressable

w = 8 ; L = ( 1 M * 8 ) / 8 = 1M

hence number of bits = log 2 ( 1M ) = log2 ( 1^1 * 1^20 ) = 0 bit

b) when memory is word addressable

w = 8 ; L = ( 1 M * 8 ) / 8 = 1M

number of bits = 0

5 0

3 years ago

Which of the following represents knowledge as a set ofâ rules? A. Neural networks.B. Machine learning systems.C. Robotics.D. Ex

sveta [45]

Answer:

D. Expert systems

Explanation:

Artificial intelligence (AI) also known as machine learning can be defined as a branch of computer science which typically involves the process of using algorithms to build a smart computer-controlled robot or machine that is capable of performing tasks that are exclusively designed to be performed by humans or with human intelligence.

Artificial intelligence (AI) provides smarter results and performs related tasks excellently when compared with applications that are built using conventional programming.

Generally, there are two (2) main characteristics of artificial intelligence (AI) systems and these include;

I. Non-algorithmic processing.

II. Symbolic processing.

In artificial intelligence (AI), the field of expert systems is the most important applied area because it models human knowledge.

Hence, expert systems represents knowledge as a set of rules.

Although, all expert systems are generally lacking in human capabilities and can only use inference procedures to proffer solutions to specific problems that would normally require human expertise or competence.

Some of the areas where expert systems can be applied are; monitoring, diagnosis, scheduling, classification, design, process control, planning, etc.

5 0

3 years ago