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evaluator.go
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evaluator.go
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/*
* Copyright 2020 The Dragonfly Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package evaluator
import (
"d7y.io/dragonfly/v2/scheduler/supervisor"
)
const (
// DefaultAlgorithm is a rule-based scheduling algorithm
DefaultAlgorithm = "default"
// MLAlgorithm is a machine learning scheduling algorithm
MLAlgorithm = "ml"
// PluginAlgorithm is a scheduling algorithm based on plugin extension
PluginAlgorithm = "plugin"
)
type Evaluator interface {
// Evaluate todo Normalization
Evaluate(parent *supervisor.Peer, child *supervisor.Peer, taskPieceCount int32) float64
// NeedAdjustParent determine whether the peer needs a new parent node
NeedAdjustParent(peer *supervisor.Peer) bool
// IsBadNode determine if peer is a failed node
IsBadNode(peer *supervisor.Peer) bool
}
func New(algorithm string) Evaluator {
switch algorithm {
case PluginAlgorithm:
if plugin, err := LoadPlugin(); err == nil {
return plugin
}
// TODO Implement MLAlgorithm
case MLAlgorithm, DefaultAlgorithm:
return NewEvaluatorBase()
}
return NewEvaluatorBase()
}