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svet-max [94.6K]
3 years ago
12

Owners of individual domains get to decide what content is published on their websites. Why might this autonomy be important to

the development of the Internet? How or why does autonomy scale?
Computers and Technology
1 answer:
Alika [10]3 years ago
4 0

Answer:

Explanation:

With an individual domain name we can upload all the content we want, in a free domain or share domain, upload content in some cases have a limit, for example the size of an image, in an individual domain we can add our brand, in a shared, we can add our brand side to company share those domains, we can have our own email address, practically we have a complete autonomy in our website.

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Write a class named Episode. An instance of this episode class will represent a single episode of a TV show, with a title, a sea
gavmur [86]

Answer:

See explaination

Explanation:

class Episode{

//Private variables

private String title;

private int seasonNumber;

private int episodeNumber;

//Argumented constructor

public Episode(String title, int seasonNumber, int episodeNumber) {

this.title = title;

this.seasonNumber = seasonNumber;

this.episodeNumber = episodeNumber;

}

//Getter and setters

public String getTitle() {

return title;

}

public void setTitle(String title) {

this.title = title;

}

public int getSeasonNumber() {

return seasonNumber;

}

public void setSeasonNumber(int seasonNumber) {

this.seasonNumber = seasonNumber;

}

public int getEpisodeNumber() {

return episodeNumber;

}

public void setEpisodeNumber(int episodeNumber) {

this.episodeNumber = episodeNumber;

}

public boolean comesBefore(Episode e){

//Check if titles' match

if(this.title.equals(e.getTitle())){

//Compare season numbers

if(this.seasonNumber<e.seasonNumber){

return true;

}

//Check if season numbers match

else if(this.seasonNumber==e.getSeasonNumber()){

return this.episodeNumber<e.getEpisodeNumber();

}

}

return false;

}

atOverride // replace the at with at symbol

public String toString() {

return title+", season "+seasonNumber+", episode "+episodeNumber;

}

}

class Main{

public static void main(String[] args) {

Episode e = new Episode("Friends",1,1);

System.out.println(e);

Episode e2 = new Episode("The Wire",3,5);

System.out.println(e2);

System.out.println(e.getTitle()+" comes before "+e2.getTitle()+" = "+e.comesBefore(e2));

}

}

7 0
3 years ago
1.) what is the minimum number of bits required to represent -3,997 using 2's complement form?
lisabon 2012 [21]

The binary representation of +3997 is 1111 1001 1101.

In one's complement this is simply adding a sign bit and inverting all the bits:

1 0000 0110 0010

The two's complement is the one's complement plus 1:

1 0000 0110 0011

That's 13 bits. Normally the sign bit would be at an 8, 16 or 32,... bit boundary.

For -436 it's 10 0100 1100 and 10 bits


8 0
4 years ago
HELP PLZZ WILL MARK BRAINLIEST
adoni [48]

Answer:

if you could capture another image of this work bc I cant make out some words I can barley make out words

4 0
3 years ago
Calculate the performance of a processor taking into account stalls due to data cache and instruction cache misses. The data cac
zhuklara [117]

Answer:

- Calculate the additional CPI due to the icache stalls.

- Calculate the additional CPI due to the dcache stalls.  

- Calculate the overall CPI for the machine.

The additional CPI due to icache stalls = Hit Rate * Hit Latency + Miss Rate*  

Miss Penalty = 0.9*2 + 0.1*50 = 1.8 + 5 = 6.8  

The additional CPI due to dcache stalls = 0.92*2 + 0.08*124 = 11.76  

The overall CPI = 0.3*11.76 + 0.7*1.0 + 1.0*6.8 = 11.03 7.  

Explanation:

6 0
3 years ago
Choose 2 statements that correctly describe the time complexity of data structures with N data.
Softa [21]

The  statements that correctly describe the time complexity of data structures with N data are:

  • The average time complexity of the data lookup in a hash table is O(N).
  • The average time complexity of inserting data into a heap is O(logN)

<h3>What is time complexity of data structures?</h3>

Time Complexity of an algorithm is known to be the depiction of the amount of time needed by the algorithm to carry out to completion.

Note that The  statements that correctly describe the time complexity of data structures with N data are:

  • The average time complexity of the data lookup in a hash table is O(N).
  • The average time complexity of inserting data into a heap is O(logN)

Learn more about data from

brainly.com/question/17350816

#SPJ1

6 0
2 years ago
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