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programs: | |
- name: audit-log-start-latency | |
metrics: | |
histograms: | |
- name: function_latency_seconds | |
help: Latency of Linux kernel function | |
table: dist | |
bucket_type: fixed | |
bucket_keys: | |
- 1000 # 1ms |
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//----------------------------------------------------------------- | |
// EGR 126 fall 2012 | |
// Student Name: Rebecca Brenneis | |
// Assignment: A4 | |
// Submission Date: 9/23/12 | |
// ---------------------------------------------------------------- | |
// | |
#include <iostream> // required for cin, cout, edl. | |
#include <cmath> // required for sqrt() |
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#include <iostream> // required for cin, cout, edl. | |
#include <cmath> // required for sqrt() | |
Int main() | |
{ | |
//Declare objects and | |
double x1, y1, x2, y2, side1, side2, distance; | |
side1 = x2 –x1; |
A traditional request handling model works like this:
- Browser makes a connection (think of it as dialing a restaurant)
- Server accepts the connection (restaurant employee answers phone)
- Browser sends a request (think of this as saying "I'd like to make a dinner reservation")
- Server processes the request and sends the response ("Got it, your reservation is made")
- The connection is closed (both sides hang up)
This is great, except that each employee is expensive, and the restaurant can only afford to pay N employees. If there are more people calling in a given moment than their are employees to respond to a call, callers will get frustrated that nobody has picked up, hang up, and try again later (or try another restaurant).
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A traditional request handling model works like this: | |
1. Browser makes a connection (think of it as dialing a restaurant) | |
1. Server accepts the connection (restaurant employee answers phone) | |
1. Browser sends a request (think of this as saying "I'd like to make a dinner reservation") | |
1. Server processes the request and sends the response ("Got it, your reservation is made") | |
1. The connection is closed (both sides hang up) | |
This is great, except that each employee is expensive, and the restaurant can only afford to pay N employees. If there are more people calling in a given moment than their are employees to respond to a call, callers will get frustrated that nobody has picked up, hang up, and try again later (or try another restaurant). |
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.my_highlight { | |
text-decoration:underline; | |
background-color:orange; | |
} |
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{} |
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