Add initial code for mcis and vm plan with location-based algo

[seokho-son]

MCIS 최적 Plan 기능 제공을 위한 기본 코드를 추가하였습니다. (개발 버전 WIP)

• test용 api 추가
  /ns/{nsId}/testRecommendVm

Request Body 예시

{
  "filter": {
    "policy": [
      {
        "condition": [
          {
            "operand": "4",
            "operator": ">="
          },
          {
            "operand": "4",
            "operator": "<="
          }
        ],
        "metric": "num_vCPU"
      },
      {
        "condition": [
          {
            "operand": "9",
            "operator": ">="
          },
          {
            "operand": "12",
            "operator": "<="
          }
        ],
        "metric": "mem_GiB"
      }
    ]
  },
  "limit": "string",
  "priority": {
    "policy": [
      {
        "metric": "location",
        "parameter": [
          {
            "key": "coordinateClose",
            "val": [
              "46.3772,2.3730"
            ]
          }
        ],
        "weight": "string"
      }
    ]
  }
}

결과 예시 : 필터링된 결과를 우선순위에 따라서 리스트업
(evaluationScore_01 에는 임시로, utility를 표시함. evaluationScore_02에는 임시로, 주어진 coordinate를 기준으로 떨어진 거리를 표시함)

[
{
"id": "aws-eu-west-2-c5n.xlarge",
"name": "aws-eu-west-2-c5n.xlarge",
"connectionName": "aws-eu-west-2",
"cspSpecName": "c5n.xlarge",
"os_type": "",
"num_vCPU": 4,
"num_core": 0,
"mem_GiB": 10,
"storage_GiB": 0,
"description": "",
"cost_per_hour": 0,
"num_storage": 0,
"max_num_storage": 0,
"max_total_storage_TiB": 0,
"net_bw_Gbps": 0,
"ebs_bw_Mbps": 0,
"gpu_model": "",
"num_gpu": 0,
"gpumem_GiB": 0,
"gpu_p2p": "",
"orderInFilteredResult": 1,
"evaluationStatus": "",
"evaluationScore_01": 0.96666664,
"evaluationScore_02": 5.242709,
"evaluationScore_03": 0,
"evaluationScore_04": 0,
"evaluationScore_05": 0,
"evaluationScore_06": 0,
"evaluationScore_07": 0,
"evaluationScore_08": 0,
"evaluationScore_09": 0,
"evaluationScore_10": 0,
"associatedObjectList": null,
"isAutoGenerated": false
},
{
"id": "aws-eu-central-1-c5n.xlarge",
"name": "aws-eu-central-1-c5n.xlarge",
"connectionName": "aws-eu-central-1",
"cspSpecName": "c5n.xlarge",
"os_type": "",
"num_vCPU": 4,
"num_core": 0,
"mem_GiB": 10,
"storage_GiB": 0,
"description": "",
"cost_per_hour": 0,
"num_storage": 0,
"max_num_storage": 0,
"max_total_storage_TiB": 0,
"net_bw_Gbps": 0,
"ebs_bw_Mbps": 0,
"gpu_model": "",
"num_gpu": 0,
"gpumem_GiB": 0,
"gpu_p2p": "",
"orderInFilteredResult": 2,
"evaluationStatus": "",
"evaluationScore_01": 0.93333334,
"evaluationScore_02": 6.692369,
"evaluationScore_03": 0,
"evaluationScore_04": 0,
"evaluationScore_05": 0,
"evaluationScore_06": 0,
"evaluationScore_07": 0,
"evaluationScore_08": 0,
"evaluationScore_09": 0,
"evaluationScore_10": 0,
"associatedObjectList": null,
"isAutoGenerated": false
},
{
...
"orderInFilteredResult": 3,
"evaluationStatus": "",
..
},
...,

[jihoon-seo]

["lat long distance golang"]

• Haversine https://github.com/umahmood/haversine
• https://gist.github.com/cdipaolo/d3f8db3848278b49db68
• https://www.geodatasource.com/developers/go
• and so on...