1
0
mirror of https://github.com/newnius/YAO-scheduler.git synced 2025-06-07 22:31:55 +00:00
YAO-scheduler/src/evaluator.go

224 lines
6.4 KiB
Go
Raw Normal View History

2020-05-25 03:36:27 +00:00
package main
type Evaluator struct {
domains map[string]map[string]int
racks map[string]map[string]int
nodes map[string]map[string]int
upstreams map[string]string
totalPS int
totalWorker int
costNetwork float64
2020-05-27 05:33:40 +00:00
costLoad float64
2020-05-25 03:36:27 +00:00
factorNode float64
factorRack float64
factorDomain float64
}
func (eva *Evaluator) init(nodes []NodeStatus, tasks []Task) {
eva.domains = map[string]map[string]int{}
eva.racks = map[string]map[string]int{}
eva.nodes = map[string]map[string]int{}
eva.upstreams = map[string]string{}
eva.totalPS = 0
eva.totalWorker = 0
eva.factorNode = 1.0
eva.factorRack = 4.0
eva.factorDomain = 40.0
eva.costNetwork = 0.0
2020-05-26 12:46:11 +00:00
eva.costLoad = 0.0
2020-05-25 03:36:27 +00:00
}
func (eva *Evaluator) add(node NodeStatus, task Task) {
/* update node load cost */
/* update network cost */
if _, ok := eva.nodes[node.ClientID]; !ok {
eva.nodes[node.ClientID] = map[string]int{"PS": 0, "Worker": 0}
}
if _, ok := eva.racks[node.Rack]; !ok {
eva.racks[node.Rack] = map[string]int{"PS": 0, "Worker": 0}
}
if _, ok := eva.domains[node.Domain]; !ok {
eva.domains[node.Domain] = map[string]int{"PS": 0, "Worker": 0}
}
if task.IsPS {
eva.costNetwork += eva.factorNode * float64(eva.racks[node.Rack]["Worker"]-eva.nodes[node.ClientID]["Worker"])
eva.costNetwork += eva.factorRack * float64(eva.domains[node.Domain]["Worker"]-eva.racks[node.Rack]["Worker"])
eva.costNetwork += eva.factorDomain * float64(eva.totalWorker-eva.domains[node.Domain]["Worker"])
eva.nodes[node.ClientID]["PS"]++
eva.racks[node.Rack]["PS"]++
eva.domains[node.Domain]["PS"]++
eva.totalPS++
} else {
eva.costNetwork += eva.factorNode * float64(eva.racks[node.Rack]["PS"]-eva.nodes[node.ClientID]["PS"])
eva.costNetwork += eva.factorRack * float64(eva.domains[node.Domain]["PS"]-eva.racks[node.Rack]["PS"])
eva.costNetwork += eva.factorDomain * float64(eva.totalPS-eva.domains[node.Domain]["PS"])
eva.nodes[node.ClientID]["Worker"]++
eva.racks[node.Rack]["Worker"]++
eva.domains[node.Domain]["Worker"]++
eva.totalWorker++
}
2020-05-26 12:46:11 +00:00
if task.IsPS {
//eva.costLoad += 1
} else {
//eva.costLoad += 0.5
}
numberGPU := 1
for _, gpu := range node.Status {
if gpu.MemoryAllocated != 0 {
numberGPU += 1
}
}
eva.costLoad += float64(numberGPU) / float64(len(node.Status))
2020-05-25 03:36:27 +00:00
}
func (eva *Evaluator) remove(node NodeStatus, task Task) {
if task.IsPS {
eva.costNetwork -= eva.factorNode * float64(eva.racks[node.Rack]["Worker"]-eva.nodes[node.ClientID]["Worker"])
eva.costNetwork -= eva.factorRack * float64(eva.domains[node.Domain]["Worker"]-eva.racks[node.Rack]["Worker"])
eva.costNetwork -= eva.factorDomain * float64(eva.totalWorker-eva.domains[node.Domain]["Worker"])
eva.nodes[node.ClientID]["PS"]--
eva.racks[node.Rack]["PS"]--
eva.domains[node.Domain]["PS"]--
eva.totalPS--
} else {
eva.costNetwork -= eva.factorNode * float64(eva.racks[node.Rack]["PS"]-eva.nodes[node.ClientID]["PS"])
eva.costNetwork -= eva.factorRack * float64(eva.domains[node.Domain]["PS"]-eva.racks[node.Rack]["PS"])
eva.costNetwork -= eva.factorDomain * float64(eva.totalPS-eva.domains[node.Domain]["PS"])
//fmt.Println(eva.totalWorker, eva.domains[node.Domain])
eva.nodes[node.ClientID]["Worker"]--
eva.racks[node.Rack]["Worker"]--
eva.domains[node.Domain]["Worker"]--
eva.totalWorker--
}
2020-05-26 12:46:11 +00:00
if task.IsPS {
//eva.costLoad -= 1
} else {
//eva.costLoad -= 0.5
}
numberGPU := 1
for _, gpu := range node.Status {
if gpu.MemoryAllocated != 0 {
numberGPU += 1
}
}
eva.costLoad -= float64(numberGPU) / float64(len(node.Status))
2020-05-25 03:36:27 +00:00
}
func (eva *Evaluator) calculate() float64 {
2020-05-27 05:33:40 +00:00
/* factor to determine spread or pack */
/* 1.0 spread, -1.0 pack */
factor := -1.0
return eva.costNetwork + factor*eva.costLoad/float64(eva.totalPS+eva.totalWorker)
2020-05-25 03:36:27 +00:00
}
func evaluate(allocation Allocation) float64 {
/* Calculate cost for network */
costNetwork := 0.0
domains := map[string]map[string]int{}
racks := map[string]map[string]int{}
upstreams := map[string]string{}
totalPS := 0
totalWorker := 0
taskToNode := map[string]string{}
for nodeID, tasks := range allocation.TasksOnNode {
numPS := 0
numWorker := 0
node := allocation.Nodes[nodeID]
for _, task := range tasks {
taskToNode[task.Name] = nodeID
if _, ok := domains[node.Domain]; !ok {
domains[node.Domain] = map[string]int{"PS": 0, "Worker": 0}
}
if _, ok := racks[node.Rack]; !ok {
racks[node.Rack] = map[string]int{"PS": 0, "Worker": 0}
}
if task.IsPS {
domains[node.Domain]["PS"]++
racks[node.Rack]["PS"]++
numPS++
totalPS++
} else {
domains[node.Domain]["Worker"]++
racks[node.Rack]["Worker"]++
numWorker++
totalWorker++
}
upstreams[node.Rack] = node.Domain
}
costNetwork -= float64(numPS * numWorker)
}
/* in the same domain */
for rackID, pair := range racks {
// in the same rack
costNetwork += float64(pair["PS"]*pair["Worker"]) * 1.0
// cross rack, but in the same domain
costNetwork += float64(pair["PS"]*(domains[upstreams[rackID]]["Worker"]-pair["Worker"])) * 4.0
}
/* across domain */
for _, pair := range domains {
costNetwork += float64(pair["PS"]*(totalWorker-pair["Worker"])) * 40.0
}
/* calculate cost for node fitness */
//cpu, memory, bw
costLB := 0.0
for nodeID, tasks := range allocation.TasksOnNode {
costCPU := 0.0
costMem := 0.0
costBW := 0.0
costGPU := 0.0
requestCPU := 0
requestMem := 0
requestBW := 0.0
requestGPU := 0
numberPS := 0
numberWorker := 0
for _, task := range tasks {
requestCPU += task.NumberCPU
requestMem += task.Memory
requestGPU += task.NumberGPU
if task.IsPS {
numberPS++
} else {
numberWorker++
}
}
requestBW = float64(numberPS*(totalWorker-numberWorker) + numberWorker*(totalPS-numberPS))
node := allocation.Nodes[nodeID]
costCPU += (float64(requestCPU) + node.UtilCPU) / float64(node.NumCPU) * 1.0
costMem += (float64(requestMem + (node.MemTotal - node.MemAvailable))) / float64(node.MemTotal) * 1.0
costBW += (float64(requestBW) + (node.TotalBW - node.UsingBW)) / node.TotalBW * 2.0
numberGPU := 0
for _, gpu := range node.Status {
if gpu.MemoryAllocated == 0 {
numberGPU += 0
}
}
costGPU += (float64(requestGPU + numberGPU)) / float64(len(node.Status)) * 3.0
costLB += (costCPU + costMem + costBW + costGPU) / (1.0 + 1.0 + 2.0 + 3.0)
}
costLB /= float64(len(allocation.TasksOnNode))
costLB *= 100
//fmt.Println(costLB)
2020-05-26 12:46:11 +00:00
cost := costNetwork
//cost := 0.0*costLB + 1.0*costNetwork
2020-05-25 03:36:27 +00:00
return cost
}