Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Chapter 9, Problem 1PE
Explanation of Solution
Main reasons:
- The Common Gateway Interface (CGI) usually starts a new process for serving each and every request.
- Starting a new process every time significantly increases the
operating system (OS) overhead.
- Starting a new process every time significantly increases the
- Conversely, servlets are executed as threads of an already existing process.
- Executing threads from an existing process typically reduces the OS overhead.
- Additionally, the process executing threads can be the webserver process itself.
- This avoids the interprocess communication and thereby reducing the expenses.
- Therefore, for smaller to medium-size tasks, the overhead of Java servlets is lesser than the overhead of using CGI with a C++ or C
program . - However, for tasks with higher CPU activity, the Java servlets may not provide better performance compared to the C or C++ program with CGI.
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Consider the following scenario in which host 10.0.0.1 is communicating with an external SMTP mail server at IP
address 128.119.40.186.
NAT translation table
WAN side addr
LAN side addr
(c), 5051
(d), 3031
S: (e),5051
SMTP
B
D (f.(g)
10.0.0.4
server
138.76.29.7
128.119.40.186
(a) is the source IP address at A, and its value.
S: (a),3031
D: (b), 25
10.0.0.1
A
10.0.0.2.
1. 138.76.29.7
10.0.0.3
6.3A-3. Multiple Access protocols (3). Consider the figure below, which shows the arrival of 6
messages for transmission at different multiple access wireless nodes at times t=0.1, 1.4, 1.8, 3.2,
3.3, 4.1. Each transmission requires exactly one time unit.
1
t=0.0
2
3
45
t=1.0
t-2.0
t-3.0
6
t=4.0
t-5.0
For the CSMA protocol (without collision detection), indicate which packets are successfully
transmitted. You should assume that it takes .2 time units for a signal to propagate from one node to
each of the other nodes. You can assume that if a packet experiences a collision or senses the
channel busy, then that node will not attempt a retransmission of that packet until sometime after
t=5. Hint: consider propagation times carefully here. (Note: You can find more examples of problems similar to this here B.]
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Just wanted to know, if you had a scene graph, how do you get multiple components from a specific scene node within a scene graph? Like if I wanted to get a component from wheel from the scene graph, does that require traversing still?
Like if a physics component requires a transform component and these two component are part of the same scene node. How does the physics component knows how to get the scene object's transform it is attached to, this being in a scene graph?
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- 12. Eliminate useless productions from Sa aA BC, AaBλ, B→ Aa, C CCD, D→ ddd Cd. Also, eliminate all unit-productions from the grammar. 13. Construct an npda that accepts the language L = {a"b":n≥0,n‡m}.arrow_forwardYou are given a rope of length n meters and scissors that can cut the rope into any two pieces. For simplification, only consider cutting the rope at an integer position by the meter metric. Each cut has a cost associated with it, c(m), which is the cost of cutting the rope at position m. (You can call c(m) at any time to return the cost value.) The goal is to cut the rope into k smaller pieces, minimizing the total cost of cutting. B Provide the pseudo-code of your dynamic programming algorithm f(n,k) that will return the minimum cost of cutting the rope of length n into k pieces. Briefly explain your algorithm. What is the benefit of using dynamic programming for this problem? What are the key principles of dynamic programming used in your algorithm?arrow_forwardDetermine whether each of the problems below is NP-Complete or P A. 3-SAT B. Traveling Salesman Problem C. Minimum Spanning Tree D. Checking if a positive integer is prime or not. E. Given a set of linear inequalities with integer variables, finding a set of values for the variables that satisfies all inequalities and maximizes or minimizes a given linear objective function.arrow_forward
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