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Calculate best case scenario unidirectional latency and ping between AWS DCs
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const toRadians = num => num * Math.PI / 180; | |
// Get the long, lat values for the desired dc | |
module.exports.datacenters = { | |
'ap-east-1': [22.29, 114.16 ], | |
'ap-northeast-1': [35.41, 139.42 ], | |
'ap-northeast-2': [37.56, 126.98 ], | |
'ap-northeast-3': [34.65, 136 ], | |
'ap-south-1': [19.08, 72.88 ], | |
'ap-southeast-1': [1.37, 103.8 ], | |
'ap-southeast-2': [-33.86, 151.2 ], | |
'ca-central-1': [45.5, -73.6 ], | |
'cn-north-1': [39.92, 116.44 ], | |
'cn-northwest-1': [38.49, 106.25 ], | |
'eu-central-1': [50, 8 ], | |
'eu-north-1': [59.33, 18.06 ], | |
'eu-west-1': [53, -8 ], | |
'eu-west-2': [51, -0.1 ], | |
'eu-west-3': [48.86, 2.35 ], | |
'me-south-1': [25.93, 50.64 ], | |
'sa-east-1': [-23.34, -46.38 ], | |
'us-east-1': [38.13, -78.45 ], | |
'us-east-2': [39.96, -83 ], | |
'us-west-1': [37.35, -121.96], | |
'us-west-2': [46.15, -123.88], | |
}; | |
/** | |
* Returns the distance in KM between coords/ dc names | |
*/ | |
module.exports.distance = (dc1, dc2) => { | |
const [lat1, lon1] = Array.isArray(dc1) ? dc1 : module.exports.datacenters[dc1]; | |
const [lat2, lon2] = Array.isArray(dc2) ? dc2 : module.exports.datacenters[dc2]; | |
// Calculate distance between points | |
const R = 6371e3; // metres | |
const φ1 = toRadians(lat1); | |
const φ2 = toRadians(lat2); | |
const Δφ = toRadians(lat2-lat1); | |
const Δλ = toRadians(lon2-lon1); | |
const a = Math.sin(Δφ/2) * Math.sin(Δφ/2) + | |
Math.cos(φ1) * Math.cos(φ2) * | |
Math.sin(Δλ/2) * Math.sin(Δλ/2); | |
const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a)); | |
return (R * c / 1000); | |
} | |
/** | |
* Returns minimal unidirectional latency in MS between coords or dc names (speed of light) | |
*/ | |
module.exports.minLatency = (dc1, dc2) => { | |
return module.exports.distance(dc1, dc2) * 0.00333564095198152; | |
} | |
/** | |
* Return estimated optimal ping value between coords or dc names in MS | |
*/ | |
module.exports.minPing = (dc1, dc2) => { | |
// Calculate bi-directional time + OS + network hops | |
// Hops ratio assumes AVG traffic distance traveled for a packet is 850Km for points geographically separated by 500Km | |
const hopsRatio = 850 / 500; | |
const uniLatency = module.exports.minLatency(dc1, dc2); | |
return 1 + (uniLatency * hopsRatio) * 2; | |
} |
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The 850/500 ratio is a rough estimate. I'd have to dig into https://pdfs.semanticscholar.org/cd7c/e2525ef56f36949ba75761587e211b63785a.pdf to get the actual data.