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kicyunya [14]
2 years ago
9

The computer virus is simply a.......... a. diseases b.set of computer instrustruction or code c. types of bacteria​

Computers and Technology
1 answer:
Svetllana [295]2 years ago
4 0

Answer: b

The computer virus is simply a ___

b. Set of computer instructions or code

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Assuming a computer has a single processor and a single core with no support for parallel execution, explain why running a multi
IRISSAK [1]

Answer:

Explanation:

Before we go deep into this question lets have some brief knowledge on parallel execution, parallel processing and multi tasking.

Parallel Execution : in this two or more tasks or program can be executed parallel or simultaneously.

For example if there are two processors and four programs to be executed then it executes two at a time.

Multi tasking: in this two or more tasks can be performed simultaneously switching between them without exiting any application.

For example we use notepad, word pad, excel sheet, chrome all at a time switching between each other.

Multi Threading: It is splitting up the program into different threads.If the contents in the program are independent on each other then the program can be split into multi threads and can be processed.

Multi threading in multi core or processing unit : In this threads are executed parallel or simultaneously in different processes.

For example if there are two processors then one multi threaded program can execute two threads in two different processors.

Multi threaded program in single core unit : In this, program is multi threaded where as threads cannot execute parallel or simultaneously. they sholud be executed by the same processor. So they should wait in queue

Ex: consider three tasks of 6 secs each and multi threaded each into three threads of two seconds.

Task1 3secs > task2 3secs > task3 3 secs it repeats until each task is completed

Total time taken is 3+3+3+3+3+3+3+3+3 is 18seconds...

If they are executed one by one without multi threading total execution time has no change..

Where as multi threading program has its advantages if different threads are executed at different place..

If one thread executes at network, another at printer and other processor then these three can execute at same time at different processors. Multi threading has its advantages but in single core systems it doesn't affect the performance.

Inter process communication consists of

Information Sharing, message passing, Modularity.

In shared memory inter process communication processes shares the memory between each other.

In message passing communication process communicates like request and replies for information and resources.

Interlocking is due to error in resource sharing and information sharing. It results in system collapse.

Al these process communication is required if there are two or more.processes but in single core it is not much useful and advisable.

In single core there will be a single processor, processing multi threaded program as it can access all the memory contents there will be no problem of process communication. Where as in multi core systems different processes may compete for same memory or resource.

In single core systems inter process communication makes things complex and these complexity is not much useful in any of the improvement in performance.

4 0
3 years ago
Software that function as an electronic file cabinet
Airida [17]

Answer:

The answer to this question is "Document management software".

Explanation:

Document management software is software that provides a facility to stores data in an organized manner. It manages and tracks its electronic documents.

  • This software controls many fields, that are Storage location, Security and access control, Version control, etc.
  • It is a common component, that is found in an Enterprise Content Management environment, that uses this software.

7 0
3 years ago
Which type of text may be formatted to print at the bottom of every page?
Tatiana [17]
The answer is header.
3 0
3 years ago
____ is the encapsulation of method details within a class.
Anestetic [448]

Implementation hiding i<u>s the encapsulation of method details within a class</u>. Implementation can be interpreted as those specifications which can be altered without altering the correctness of an application. Wrapping data/methods within classes (descriptions of the way all objects of this type will look/act) in combination with implementation hiding is called encapsulation. Information users need to know about behaviors should be available without dependence on implementation specifications.

6 0
3 years ago
Determine whether or not the following pairs of predicates are unifiable. If they are, give the most-general unifier and show th
Evgen [1.6K]

Answer:

a) P(B,A,B), P(x,y,z)

=> P(B,A,B) , P(B,A,B}  

Hence, most general unifier = {x/B , y/A , z/B }.

b. P(x,x), Q(A,A)  

No mgu exists for this expression as any substitution will not make P(x,x), Q(A, A) equal as one function is of P and the other is of Q.

c. Older(Father(y),y), Older(Father(x),John)

Thus , mgu ={ y/x , x/John }.

d) Q(G(y,z),G(z,y)), Q(G(x,x),G(A,B))

=> Q(G(x,x),G(x,x)), Q(G(x,x),G(A,B))  

This is not unifiable as x cannot be bound for both A and B.

e) P(f(x), x, g(x)), P(f(y), A, z)    

=> P(f(A), A, g(A)), P(f(A), A, g(A))  

Thus , mgu = {x/y, z/y , y/A }.

Explanation:  

Unification: Any substitution that makes two expressions equal is called a unifier.  

a) P(B,A,B), P(x,y,z)  

Use { x/B}  

=> P(B,A,B) , P(B,y,z)  

Now use {y/A}  

=> P(B,A,B) , P(B,A,z)  

Now, use {z/B}  

=> P(B,A,B) , P(B,A,B}  

Hence, most general unifier = {x/B , y/A , z/B }  

b. P(x,x), Q(A,A)  

No mgu exists for this expression as any substitution will not make P(x,x), Q(A, A) equal as one function is of P and the other is of Q  

c. Older(Father(y),y), Older(Father(x),John)  

Use {y/x}  

=> Older(Father(x),x), Older(Father(x),John)  

Now use { x/John }  

=> Older(Father(John), John), Older(Father(John), John)  

Thus , mgu ={ y/x , x/John }  

d) Q(G(y,z),G(z,y)), Q(G(x,x),G(A,B))  

Use { y/x }  

=> Q(G(x,z),G(z,x)), Q(G(x,x),G(A,B))

Use {z/x}  

=> Q(G(x,x),G(x,x)), Q(G(x,x),G(A,B))  

This is not unifiable as x cannot be bound for both A and B  

e) P(f(x), x, g(x)), P(f(y), A, z)  

Use {x/y}  

=> P(f(y), y, g(y)), P(f(y), A, z)  

Now use {z/g(y)}  

P(f(y), y, g(y)), P(f(y), A, g(y))  

Now use {y/A}  

=> P(f(A), A, g(A)), P(f(A), A, g(A))  

Thus , mgu = {x/y, z/y , y/A }.

7 0
3 years ago
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