📦 EqualifyEverything / equalify-scan-sim

📄 sim.ts · 180 lines
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180interface Results {
    data: Array<ResultsRecord[]>;
    perf: String;
    jobsChart: Array<Array<number>>;
  }

  interface ScanCustomer {
    jobsCount: number;
    arrivalTick: number;
    finishedTick: number | null;
    startingJobsCount: number;
  }

 export interface ResultsRecord { 
    name: number, val: number|null 
}

export default function scanSim(
  workers: number,
  customersCount: number,
  averageCustomerRequestSize: number,
  simRuns: number
):Promise<Results> {
  // inputs
  let scanTime = 5; // time per scan (s)

  // consts
  let secsPerTick = 5; // seconds per tick (s)
  let currentTick = 0;

  // intermediates
  let simDuration = (7 * 24 * 60 * 60) / secsPerTick; // seconds in a week/secsPerTick
  let sampleInterval = Math.round(simDuration / 200); // get ~100 datapoints
  console.log(sampleInterval);



  const customers: ScanCustomer[] = [];
  const jobsCountHistory: number[] = [];
  const results: Results = { data: [], perf: "", jobsChart: [] };

  function generateCustomer(jobsCount?: number) {
    const jobs = jobsCount
      ? jobsCount
      : Math.round(randn_bm(0, averageCustomerRequestSize * 2, 1));
    return {
      jobsCount: jobs,
      startingJobsCount: jobs,
      arrivalTick: Math.round(Math.random() * simDuration),
      finishedTick: null,
    };
  }

  const provisionCustomers = () => {
    customers.splice(0, customers.length);
    // Control customers
    customers.push(generateCustomer(1));
    customers.push(generateCustomer(500));
    customers.push(generateCustomer(5000));

    // randomized cusomers
    for (let i = 0; i < customersCount - 3; i++) {
      customers.push(generateCustomer());
    }
  };

  let customerPointer = 0;
  const advanceTick = () => {

    // Add the current jobs in queue to the sample history
    if (currentTick % sampleInterval === 0) {
      let currentActiveJobs = 0;
      customers.forEach((customer) => {
        if (currentTick >= customer.arrivalTick) {
          currentActiveJobs += customer.jobsCount;
        }
      });
      jobsCountHistory.push(currentActiveJobs);
    }

    // Process each worker's jobs
    for (let i = 0; i < workers; i++) {
      // advance the pointer
      customerPointer++;
      if (customerPointer > customers.length - 1) {
        customerPointer = 0;
      }

      if (
        currentTick >= customers[customerPointer].arrivalTick &&
        customers[customerPointer].finishedTick == null
      ) {
        if (customers[customerPointer].jobsCount > 0) {
          customers[customerPointer].jobsCount--; // finish a scan
        } else {
          // if done, set the finishedTick and remove from loop
          customers[customerPointer].finishedTick = currentTick;
          // Dont' pass zero for scans faster than secsPerTick
          if (
            customers[customerPointer].finishedTick ===
            customers[customerPointer].arrivalTick
          ) {
            customers[customerPointer].finishedTick = currentTick + 1;
          }
        }
      }
    }

    currentTick++;
  };

  function simReset() {
    currentTick = 0;
    customerPointer = 0;
    jobsCountHistory.splice(0, jobsCountHistory.length);
  }

  const run = () => {
    let start = performance.now();
    console.log(`Sim duration: ${(simDuration * secsPerTick).toFixed(2)}s`);
    for (let j = 0; j < simRuns; j++) {
      // start a new run
      provisionCustomers();
      for (let i = 0; i < simDuration; i++) {
        advanceTick();
      }
      // run finished, process results
      results.jobsChart.push(jobsCountHistory.slice());
      results.data.push(saveResults());
      
      simReset();
    }
    let delta = performance.now() - start;
    results.perf = `Finished, took: ${delta.toFixed(2)}ms`;
  };

  const saveResults = () => {

    // get 1,500,500
    const exampleCustomers:ResultsRecord[] = [ { name: 1, val: -1 }, { name: 500, val: -1 }, { name: 5000, val: -1 } ];
    exampleCustomers.forEach((customer) => {
      const scan = customers.find(
        (obj) => obj.startingJobsCount === Number(customer.name)
      );
      if (scan && scan.finishedTick) {
        customer.val =
          (scan.finishedTick - scan.arrivalTick) * secsPerTick;
      }
    });
   
    return exampleCustomers;
  };

  run();
  return new Promise((resolve, reject) => {
    resolve(results);
  });
}

// Exponential random number generator
function randomExponential(lambda: number) {
  return -Math.log(1 - Math.random()) / lambda;
}

// Standard Normal variate using Box-Muller transform.
function randn_bm(min: number, max: number, skew: number) {
  let u = 0,
    v = 0;
  while (u === 0) u = Math.random(); //Converting [0,1) to (0,1)
  while (v === 0) v = Math.random();
  let num = Math.sqrt(-2.0 * Math.log(u)) * Math.cos(2.0 * Math.PI * v);

  num = num / 10.0 + 0.5; // Translate to 0 -> 1
  if (num > 1 || num < 0) num = randn_bm(min, max, skew); // resample between 0 and 1 if out of range
  num = Math.pow(num, skew); // Skew
  num *= max - min; // Stretch to fill range
  num += min; // offset to min
  return num;
}