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  1. {
  2.   "system": {
  3.     "description": "Operational launch",
  4.     "operational status": "OPERATIONAL",
  5.     "workflow type": "PROCESSING",
  6.     "algorithm family": "BATCH_OUTLIER_DETECTION",
  7.     "max threads": 12,
  8.     "number of parameters": 0,
  9.     "debug": 1,
  10.     "debug max results": 10,
  11.     "working directory": "hdfs://deepsense/tmp/distributed2/",
  12.     "debug directory": "/home/yakiv/operational/slides/",
  13.     "log4j properties location": "/mock",
  14.     "admin email address": ["gm.alext@gmail.com", "deddybl@gmail.com", "maximkr@gmail.com", "golovko.yakov@gmail.com"],
  15.     "components to run": ["DETECTION", "MVM", "DOWNTIME_DETECTION", "PREDICTION", "CORRELATION"],
  16.     "num of slides to run": 0,
  17.     "force remove debug directory": false,
  18.     "use static lines filtering": true,
  19.     "extract data without computing": false,
  20.     "enable emergency plan": true,
  21.     "source": "IMDB"
  22.   },
  23.   "batchSettings": {
  24.     "Number of models": 3,
  25.     "shift": 1.1,
  26.     "Use too much anomalies filtering": true,
  27.     "Filtering percentage": 10.0,
  28.     "percent of most anomalous values": 1.0,
  29.     "Max depth": 100,
  30.     "Default calibration threshold": 75.0,
  31.     "use old style": true
  32.   },
  33.   "onlineSettings": {
  34.     "number of models": 4,
  35.     "window size": 1000,
  36.     "number of centroids": 2,
  37.     "default radius": 3.0
  38.   },
  39.   "driftSettings": {
  40.     "number of models": 1,
  41.     "windowSlidingSamplesNum": 100
  42.   },
  43.   "rapidminerSettings": {
  44.     "number of models": 5,
  45.     "default calibration threshold": 0.0,
  46.     "nClusters": 14,
  47.     "k": 14,
  48.     "beta": 0.0,
  49.     "lambda": 1.5
  50.   },
  51.   "netflixSettings": {
  52.     "nModels": 1,
  53.     "defaultCalibrationThreshold": -1.0
  54.   },
  55.   "yahooSettings": {
  56.     "nModels": 5,
  57.     "modelsToRun": [],
  58.     "defaultCalibrationThreshold": -1.0
  59.   },
  60.   "correlation": {
  61.     "correlation app path": "java -Xmx5g -cp AnomalyProcessor-exe.jar:spark-assembly-1.5.2-hadoop2.6.0.jar llc.smartlogic.ap.App",
  62.     "window size": {
  63.       "duration": 10,
  64.       "units": "DAYS"
  65.     }
  66.   },
  67.   "prediction": {
  68.     "window size": {
  69.       "duration": 10,
  70.       "units": "DAYS"
  71.     },
  72.     "overlapped window step": {
  73.       "duration": 60,
  74.       "units": "HOURS"
  75.     },
  76.     "burned anomalies factors": [1.005,1.01,1.02,1.04,1.08,1.16,1.32,1.64],
  77.     "email addresses to alarm": ["a_tolstov@yahoo.com", "deddybl@gmail.com", "eitan@presenso.com", "david@presenso.com", "yakir@presenso.com", "golovko.yakov@gmail.com"],
  78.     "base algorithm": "YAHOO",
  79.     "number of models": 1,
  80.     "labeled faults": {
  81.       "G2\\OEC21": [
  82.         "2016-01-01"
  83.       ],
  84.       "G3\\OEC21": [
  85.         "2016-01-01"
  86.       ]
  87.     },
  88.     "labeled suspected": {},
  89.     "number of most anomalous tags to send": 15,
  90.     "rule": {
  91.       "sequential drift size": 4,
  92.       "factor": 8.0,
  93.       "aggregation type": "MOVING_AVERAGE",
  94.       "drift search type": "COUNT_PER_TIME_RANGE",
  95.       "time range": {
  96.         "duration": 2,
  97.         "units": "HOURS"
  98.       },
  99.       "moving average window size": 10
  100.     },
  101.     "high freq detector": {
  102.       "svm": {
  103.         "c Value": 1.0,
  104.         "kernel type": 2,
  105.         "gamma": 0.01,
  106.         "dimension": 3,
  107.         "mfcc features": 7
  108.       },
  109.       "models directory": "hdfs://deepsense/tmp/yakir/",
  110.       "model file name": "highFreqSvm.model",
  111.       "history length": {
  112.         "duration": 3,
  113.         "units": "DAYS"
  114.       },
  115.       "use hdfs": true
  116.     }
  117.   },
  118.   "downtime detection": {
  119.     "window size": {
  120.       "duration": 10,
  121.       "units": "DAYS"
  122.     },
  123.     "overlapped window step": {
  124.       "duration": 60,
  125.       "units": "HOURS"
  126.     },
  127.     "burned anomalies factors": [1.005,1.01,1.02,1.04,1.08,1.16,1.32,1.64],
  128.     "email addresses to alarm": ["a_tolstov@yahoo.com", "deddybl@gmail.com", "yakir@presenso.com", "golovko.yakov@gmail.com", "waseem@presenso.com"],
  129.     "base algorithm": "YAHOO",
  130.     "number of models": 1,
  131.     "labeled faults": {},
  132.     "labeled suspected": {},
  133.     "number of most anomalous tags to send": 15,
  134.     "rule": {
  135.       "sequential drift size": 5,
  136.       "factor": 8.0,
  137.       "aggregation type": "MOVING_AVERAGE",
  138.       "drift search type": "MULTI_MODEL",
  139.       "time range": {
  140.         "duration": 3,
  141.         "units": "HOURS"
  142.       },
  143.       "moving average window size": 10
  144.     },
  145.     "multi model detector": {
  146.       "svm": {
  147.         "c Value": 1.0,
  148.         "kernel type": 2,
  149.         "gamma": 0.01,
  150.         "dimension": 3,
  151.         "mfcc features": 7
  152.       },
  153.       "random forest": {
  154.         "tree number": 100,
  155.         "attribute number": 0,
  156.         "depth": 0,
  157.         "mfcc features": 7
  158.       },
  159.       "count threshold": 30,
  160.       "score threshold": 20000,
  161.       "mvm threshold": 100,
  162.       "count or threshold": 40,
  163.       "score or threshold": 100000,
  164.       "mvm or threshold": 1000,
  165.       "history length": {
  166.         "duration": 3,
  167.         "units": "DAYS"
  168.       },
  169.       "svm majority threshold": 2.0,
  170.       "random forest majority threshold": 2.0,
  171.       "total majority threshold": 1.0,
  172.       "majority coefficients": [
  173.         0,
  174.         0,
  175.         0,
  176.         2,
  177.         0
  178.       ],
  179.       "or coefficients": [
  180.         0,
  181.         0,
  182.         0
  183.       ],
  184.       "models directory": "hdfs://deepsense/tmp/yakir/",
  185.       "svm file prefix": "svm",
  186.       "random forest file prefix": "randomForest",
  187.       "use hdfs": true
  188.     }
  189.   },
  190.   "sliding window": {
  191.     "date of start": "2016-08-01",
  192.     "date of stop": "2017-06-10",
  193.     "window size": {
  194.       "duration": 10,
  195.       "units": "DAYS"
  196.     },
  197.     "step size": {
  198.       "duration": 1,
  199.       "units": "HOURS"
  200.     },
  201.     "overlapped window step": {
  202.       "duration": 60,
  203.       "units": "HOURS"
  204.     },
  205.     "calibration interval": {
  206.       "duration": 360,
  207.       "units": "DAYS"
  208.     },
  209.     "normalization sample rate": {
  210.       "duration": 5000,
  211.       "units": "MILLISECONDS"
  212.     },
  213.     "anomalies counter interval": {
  214.       "duration": 10,
  215.       "units": "MINUTES"
  216.     },
  217.     "sampling": "ARBITRARY",
  218.     "window step debug": false,
  219.     "machines": [],
  220.     "tags": []
  221.   },
  222.   "calibratorSettings": {
  223.     "enable time limit": false,
  224.     "max time per iteration": {
  225.       "duration": 100,
  226.       "units": "SECONDS"
  227.     },
  228.     "calibration method": "LINEAR_SEARCH",
  229.     "max number of iterations": 20,
  230.     "burned factors": [1.005,1.01,1.02,1.04,1.08,1.16,1.32,1.64,0.995,0.99,0.98,0.96,0.92,0.84,0.68,0.36,1.1,1.4,1.6,1.8,0.9,0.6,0.4,0.2],
  231.     "calibration centroids": [2],
  232.     "calibration window size elements": 0,
  233.     "convergence tolerance": 0.3,
  234.     "ax": 0.02,
  235.     "bx": 0.5,
  236.     "cx": 40.0,
  237.     "range up": 1.5,
  238.     "range down": 0.5,
  239.     "local threshold adjusting": true
  240.   },
  241.   "elasticsearchSettings": {
  242.     "hosts": "10.10.0.31",
  243.     "port": 9300,
  244.     "cluster name": "SmartLogick",
  245.     "scroll size": 1000,
  246.     "tag scroll size": 100000,
  247.     "scroll time limit": 60000,
  248.     "index prefix": "steamboat",
  249.     "site": "steamboat",
  250.     "tag index name": "steamboat-taginfo"
  251.   },
  252.   "imdbSettings": {
  253.     "protocol": "http",
  254.     "host": "10.30.0.36",
  255.     "port": 8080,
  256.     "customer": "ormat",
  257.     "site": "steamboat"
  258.   },
  259.   "debugSettings": {
  260.     "tags to debug": [],
  261.     "number of tags to debug": 0,
  262.     "number of slides to debug": 0,
  263.     "first slide idx to debug": 0,
  264.     "distance between slides to debug": 0,
  265.     "number of tags for batch forecast reports": 0,
  266.     "send emails": true,
  267.     "send prediction emails": true,
  268.     "trace prediction by email": false,
  269.     "sender email host": "smtp.office365.com",
  270.     "sender email login": "alert@presenso.com",
  271.     "sender email pwd": "qazWSX321",
  272.     "sender email port": "587"
  273.   },
  274.   "openTSDBSettings": {
  275.     "address": "http://40.121.150.209:4242",
  276.     "metric retrieval": "retrieval_time_sec",
  277.     "metric execution": "mapreduce_execution_time_sec",
  278.     "metric storing": "storing_time_sec",
  279.     "metric normalization": "normalization_time_sec",
  280.     "metric erasing": "erasing_old_data_time_sec",
  281.     "metric anomalies": "anomalies_per_slide",
  282.     "metric counter": "counters_per_slide",
  283.     "metric window step hours": "window_step_hours",
  284.     "tags": {"cluster":"deepsense"}
  285.   },
  286.   "downtimeSettings": {
  287.     "families": [
  288.       "BATCH_OUTLIER_DETECTION",
  289.       "ONLINE_OUTLIER_DETECTION",
  290.       "RAPIDMINER",
  291.       "YAHOO"
  292.     ],
  293.     "windows": [
  294.       {
  295.         "size": {
  296.           "duration": 10,
  297.           "units": "DAYS"
  298.         },
  299.         "step": {
  300.           "duration": 60,
  301.           "units": "HOURS"
  302.         },
  303.         "number of slides": 35
  304.       }
  305.     ],
  306.     "sequence sizes": [
  307.       2,
  308.       3,
  309.       4
  310.     ],
  311.     "factors": [
  312.       8.0,
  313.       9.0
  314.     ],
  315.     "search types": [
  316.       "DEFAULT",
  317.       "INCREASING",
  318.       "COUNT_PER_TIME_RANGE"
  319.     ],
  320.     "aggregation types": [
  321.       "SUM",
  322.       "MOVING_AVERAGE"
  323.     ],
  324.     "time range window": [
  325.       {
  326.         "duration": 1,
  327.         "units": "HOURS"
  328.       }
  329.     ],
  330.     "heuristic slopes": [
  331.       1.5,
  332.       2.0,
  333.       2.5,
  334.       3.5
  335.     ],
  336.     "heuristic windows": [
  337.       {
  338.         "duration": 6,
  339.         "units": "HOURS"
  340.       },
  341.       {
  342.         "duration": 8,
  343.         "units": "HOURS"
  344.       },
  345.       {
  346.         "duration": 10,
  347.         "units": "HOURS"
  348.       },
  349.       {
  350.         "duration": 12,
  351.         "units": "HOURS"
  352.       }
  353.     ],
  354.     "heuristic time to failures": [
  355.       {
  356.         "duration": 10,
  357.         "units": "HOURS"
  358.       },
  359.       {
  360.         "duration": 36,
  361.         "units": "HOURS"
  362.       }
  363.     ],
  364.     "heuristic rolling processing": [
  365.       "HIGHEST",
  366.       "FACTOR"
  367.     ]
  368.   },
  369.   "thresholds": {
  370.     "thresholds batch": {
  371.       "winners": [],
  372.       "statistics": []
  373.     },
  374.     "thresholds online": {
  375.       "winners": [],
  376.       "statistics": []
  377.     },
  378.     "thresholds rapidminer": {
  379.       "winners": [],
  380.       "statistics": []
  381.     },
  382.     "thresholds netflix": {
  383.       "winners": [],
  384.       "statistics": []
  385.     },
  386.     "thresholds yahoo": {
  387.       "winners": [],
  388.       "statistics": []
  389.     }
  390.   },
  391.   "heuristic": {
  392.     "top": {
  393.       "duration": 1,
  394.       "units": "DAYS"
  395.     },
  396.     "middle": {
  397.       "duration": 1,
  398.       "units": "DAYS"
  399.     },
  400.     "bottom": {
  401.       "duration": 1,
  402.       "units": "DAYS"
  403.     },
  404.     "max time to failure": {
  405.       "duration": 5,
  406.       "units": "HOURS"
  407.     },
  408.     "use rolling downtime detection": true,
  409.     "send emails": false,
  410.     "k12": 1.5,
  411.     "k23": 1.5,
  412.     "rolling processing": "HIGHEST"
  413.   },
  414.   "emergency": {
  415.     "max time left to operational switch": {
  416.       "duration": 60,
  417.       "units": "HOURS"
  418.     },
  419.     "development window step": {
  420.       "duration": 60,
  421.       "units": "HOURS"
  422.     },
  423.     "operational window step": {
  424.       "duration": 1,
  425.       "units": "HOURS"
  426.     },
  427.     "switching near-operational factor": 2.0
  428.   },
  429.   "multivariate model": {
  430.     "training path": "python mvm.py train",
  431.     "testing path": "python mvm.py test",
  432.     "path for models": "/home/yakiv/operational/models/",
  433.     "model file name prefix": "m_",
  434.     "model meta data file name prefix": "mm_",
  435.     "interval": {
  436.       "duration": 10,
  437.       "units": "MINUTES"
  438.     },
  439.     "training window size": {
  440.       "duration": 20,
  441.       "units": "DAYS"
  442.     },
  443.     "testing window size": {
  444.       "duration": 4,
  445.       "units": "DAYS"
  446.     }
  447.   }
  448. }
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