Added lookahead scheduler.

Most scheduler now use estimated finish time instead of predicted execution time.
This commit is contained in:
Matthias
2017-07-26 18:56:44 +02:00
parent b93d8565a0
commit 19d695d4d8
13 changed files with 468 additions and 110 deletions
@@ -113,6 +113,7 @@ protected:
wepMap_t wepMap;
bool simulationMode;
double cummulativePredictionTime = 0;
std::map<resource::ComputingResource*, std::vector<std::shared_ptr<SchedulingDecision>>> scheduledTasks;
protected:
// Hook functions for AbstractScheduler functions below to allow customisation of common functionality
@@ -121,6 +122,8 @@ protected:
virtual void _notifyWEPUpdate(WepMapEntry& wepe, std::set<wep::AtomicWepNode*> readyToExecute, std::unique_lock<std::mutex>& schedulerLock) {}
virtual void _notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {}
virtual double _getResourceEstimatedAvailableTime(resource::ComputingResource* resource);
// Convenience functions for passing a scheduling decision to the execution layer.
bool executeSchedulingDecision(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) noexcept;
@@ -56,8 +56,6 @@ protected:
fastestExecutionTimes(new prediction::ExecutionTimeResult[resourceCount]) {}
};
//std::map<wep::ActivityWepNode*, std::shared_ptr<OptimisticCostTableEntry>> optimisticCostTable;
std::set<wep::AtomicWepNode*> readySet;
void calcTaskRanks(wep::ActivityWepNode& node, std::vector<resource::ComputingResource*>& resources);
@@ -0,0 +1,79 @@
#pragma once
#include <wfr/scheduling/AbstractScheduler.h>
#include <wfr/prediction/PredictionManager.h>
#include <wfr/common/resource/Resource.h>
#include <wfr/common/resource/ResourceManager.h>
#include <wfr/common/types/WfrTypes.h>
#include <mutex>
#include <thread>
#include <vector>
#include <queue>
#include <map>
#include <set>
#include <iostream>
#include <condition_variable>
namespace wfr {
namespace wfs {
class AtomicActivityInstance;
}
namespace wep {
class AtomicWepNode;
class ActivityWepNode;
class AbstractWepNode;
}
namespace resource {
class ResourceManager;
}
namespace prediction {
class PredictionManager;
}
}
namespace wfr {
namespace scheduling {
class LookaheadScheduler: public scheduling::SchedulerBase {
protected:
resource::ResourceManager& resourceManager;
prediction::PredictionManager& predictionManager;
struct TaskRankEntry {
double rank = 0;
bool finalized = false;
wfs::AtomicActivityImplementation** fastestImplementations;
prediction::ExecutionTimeResult* fastestExecutionTimes;
double averageExecutionTime = 0.0;
TaskRankEntry(wfr_size_t resourceCount) : fastestImplementations(new wfs::AtomicActivityImplementation*[resourceCount]),
fastestExecutionTimes(new prediction::ExecutionTimeResult[resourceCount]) {}
};
std::set<wep::AtomicWepNode*> readySet;
void calcTaskRanks(wep::ActivityWepNode& node, std::vector<resource::ComputingResource*>& resources);
void scheduleReadySet(WepMapEntry& wepe, std::vector<resource::ComputingResource*>& resources, std::unique_lock<std::mutex>& schedulerLock);
public:
LookaheadScheduler(resource::ResourceManager& resourceManager, prediction::PredictionManager& predictionManager)
: resourceManager(resourceManager), predictionManager(predictionManager) {}
~LookaheadScheduler() {}
virtual void _notifyWEPUpdate(SchedulerBase::WepMapEntry& wepe, std::set<wep::AtomicWepNode*> readyToExecute, std::unique_lock<std::mutex>& schedulerLock) override;
virtual void _notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) override;
virtual void _unregisterWEP(WepMapEntry& wepe, std::unique_lock<std::mutex>& schedulerLock) override;
};
} /* namespace scheduling */
} /* namespace wfr */
@@ -25,13 +25,9 @@ protected:
resource::ResourceManager& resourceManager;
prediction::PredictionManager& predictionManager;
std::map<resource::ComputingResource*, std::vector<std::shared_ptr<SchedulingDecision>>> scheduledTasks;
typedef std::map<resource::ComputingResourceType*, std::pair<wfs::AtomicActivityImplementation*, prediction::ExecutionTimeResult>> ImplementationCacheInnerMap;
std::map<wfs::AtomicActivityType*, ImplementationCacheInnerMap> implementationCache;
double _getResourceEstimatedAvailableTime(resource::ComputingResource* resource);
typedef std::tuple<resource::ComputingResource*, wfs::AtomicActivityImplementation*, double, prediction::ExecutionTimeResult> ECTEntry;
virtual std::pair<wep::AtomicWepNode*, ECTEntry> _getNextTaskToSchedule(std::map<wep::AtomicWepNode*, ECTEntry>& estimatedTaskCompletionTimes);
@@ -25,13 +25,9 @@ protected:
resource::ResourceManager& resourceManager;
prediction::PredictionManager& predictionManager;
std::map<resource::ComputingResource*, std::vector<std::shared_ptr<SchedulingDecision>>> scheduledTasks;
typedef std::map<resource::ComputingResourceType*, std::pair<wfs::AtomicActivityImplementation*, prediction::ExecutionTimeResult>> ImplementationCacheInnerMap;
std::map<wfs::AtomicActivityType*, ImplementationCacheInnerMap> implementationCache;
double _getResourceEstimatedAvailableTime(resource::ComputingResource* resource);
typedef std::tuple<resource::ComputingResource*, wfs::AtomicActivityImplementation*, double, prediction::ExecutionTimeResult> ECTEntry;
std::pair<wep::AtomicWepNode*, ECTEntry> _getNextTaskToSchedule(std::map<wep::AtomicWepNode*, ECTEntry>& estimatedTaskCompletionTimes);
+38
View File
@@ -67,6 +67,7 @@ void SchedulerBase::notifyWEPUpdate(wep::WorkflowExecutionPlan& wep, std::set<we
bool SchedulerBase::executeSchedulingDecision(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) noexcept {
wepe.decisions.insert(sd);
scheduledTasks[sd->resource].push_back(sd);
schedulerLock.unlock();
sd->activityInstance->setSchedulingDecision(sd);
if (sd->activityInstance->activityType() == wfs::ActivityType::Atomic) {
@@ -92,6 +93,13 @@ void SchedulerBase::notifySchedulingDecisionStatusUpdate(std::shared_ptr<Schedul
std::unique_lock<std::mutex> objLock(schedulerMutex);
auto wepe = wepMap.find(sd->wep);
if (wepe != wepMap.end()) {
auto& innerMap = scheduledTasks[sd->resource];
for (auto i = innerMap.begin(); i != innerMap.end(); i++) {
if (*i == sd) {
innerMap.erase(i);
break;
}
}
_notifySchedulingDecisionStatusUpdate(wepe->second, sd, objLock);
// Notify enactment engine
auto ee = wepe->second.engine;
@@ -102,6 +110,36 @@ void SchedulerBase::notifySchedulingDecisionStatusUpdate(std::shared_ptr<Schedul
}
}
double SchedulerBase::_getResourceEstimatedAvailableTime(resource::ComputingResource* resource) {
if (resource->getFreeSlotCount() > 0) {
return 0.0;
} else {
// Calculating the estimated available time for resources with more than 1 slot is not trivial
// Here we are employing a heuristic that partitions the scheduled tasks into chunks the size of the maximal slot count,
// takes the minimum time of each chunk and adds them together.
unsigned i = 0;
double eat = 0;
double minTime = -1;
auto& tasks = scheduledTasks[resource];
for (auto t : tasks) {
i++;
if (minTime < 0) {
minTime = t->getPrediction().getExecutionTime().getValue();
} else {
if (i > resource->getMaxSlotCount()) {
eat += minTime;
i = 0;
minTime = t->getPrediction().getExecutionTime().getValue();
} else {
if (t->getPrediction().getExecutionTime().getValue() < minTime) {
minTime = t->getPrediction().getExecutionTime().getValue();
}
}
}
}
return eat;
}
}
} /* namespace scheduling */
} /* namespace wfr */
+4
View File
@@ -16,6 +16,7 @@
#include <wfr/scheduling/scheduler/maxmin/MaxMinScheduler.h>
#include <wfr/scheduling/scheduler/sufferage/SufferageScheduler.h>
#include <wfr/scheduling/scheduler/peft/PEFTScheduler.h>
#include <wfr/scheduling/scheduler/lookahead/LookaheadScheduler.h>
namespace wfr {
namespace scheduling {
@@ -78,6 +79,9 @@ SchedulerManager::SchedulerManager(std::string defaultScheduler) : defaultSchedu
schedulerFactories.insert(factoryMap_t::value_type("heft", []()->AbstractScheduler* {
return new HEFTScheduler(resource::ResourceManager::getInstance(), prediction::PredictionManager::getInstance());
}));
schedulerFactories.insert(factoryMap_t::value_type("lookahead", []()->AbstractScheduler* {
return new LookaheadScheduler(resource::ResourceManager::getInstance(), prediction::PredictionManager::getInstance());
}));
schedulerFactories.insert(factoryMap_t::value_type("random", []()->AbstractScheduler* {
return new RandomScheduler(resource::ResourceManager::getInstance(), prediction::PredictionManager::getInstance());
}));
+1
View File
@@ -10,4 +10,5 @@ set(wfr_cpp_files "${wfr_cpp_files}"
src/scheduling/scheduler/maxmin/MaxMinScheduler.cpp
src/scheduling/scheduler/sufferage/SufferageScheduler.cpp
src/scheduling/scheduler/peft/PEFTScheduler.cpp
src/scheduling/scheduler/lookahead/LookaheadScheduler.cpp
)
@@ -29,6 +29,7 @@ namespace wfr {
namespace scheduling {
void HEFTScheduler::calcTaskRanks(wep::ActivityWepNode& node, std::vector<resource::ComputingResource*>& resources) {
/*std::cout << "calcTaskRanks: " << node.activity.baseActivity.baseTemplate.activityName << " (" << node.activity.instanceID << ")"
<< " [" << print::toString(node.activity.baseActivity.activityType()) << "]"
@@ -156,11 +157,6 @@ void HEFTScheduler::_notifyWEPUpdate(SchedulerBase::WepMapEntry& wepe, std::set<
scheduleReadySet(wepe, resources, schedulerLock);
}
void HEFTScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {
//auto resources = resourceManager.getComputingResources();
//scheduleReadySet(wepe, resources, schedulerLock);
}
void HEFTScheduler::scheduleReadySet(WepMapEntry& wepe, std::vector<resource::ComputingResource*>& resources, std::unique_lock<std::mutex>& schedulerLock) {
struct _schedulingPriorityQueueComparison {
@@ -193,9 +189,12 @@ void HEFTScheduler::scheduleReadySet(WepMapEntry& wepe, std::vector<resource::Co
prediction::ExecutionTimeResult fastestPred;
wfs::AtomicActivityImplementation* fastestImpl = nullptr;
resource::ComputingResource* fastestResource = nullptr;
double earliestEstimatedFinishTime = -1;
for (auto res : resources) {
if (entry->fastestImplementations[ri] && res->getFreeSlotCount() > 0) {
if (!fastestPred.isValid() || entry->fastestExecutionTimes[ri].executionTime.getValue() < fastestPred.executionTime.getValue()) {
if (entry->fastestImplementations[ri]) {
auto estimatedFinishTime = _getResourceEstimatedAvailableTime(res) + entry->fastestExecutionTimes[ri].executionTime.getValue();
if (earliestEstimatedFinishTime < 0.0 || estimatedFinishTime < earliestEstimatedFinishTime) {
earliestEstimatedFinishTime = estimatedFinishTime;
fastestImpl = entry->fastestImplementations[ri];
fastestPred = entry->fastestExecutionTimes[ri];
fastestResource = res;
@@ -222,6 +221,11 @@ void HEFTScheduler::scheduleReadySet(WepMapEntry& wepe, std::vector<resource::Co
}
}
void HEFTScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {
//auto resources = resourceManager.getComputingResources();
//scheduleReadySet(wepe, resources, schedulerLock);
}
void HEFTScheduler::_unregisterWEP(WepMapEntry& wepe, std::unique_lock<std::mutex>& schedulerLock) {
/*std::cout << "Task Ranks: " << std::endl;
+319
View File
@@ -0,0 +1,319 @@
#include <wfr/prediction/PredictionManager.h>
#include <wfr/common/resource/ResourceManager.h>
#include <wfr/common/wep/WorkflowExecutionPlan.h>
#include <wfr/common/wep/AbstractWepNode.h>
#include <wfr/common/wep/activities/AtomicWepNode.h>
#include <wfr/common/wep/ActivityWepNode.h>
#include <wfr/common/wfs/Activity.h>
#include <wfr/common/wfs/ActivityInstance.h>
#include <wfr/common/wfs/instances/AtomicActivityInstance.h>
#include <wfr/common/wfs/AtomicActivityImplementation.h>
#include <wfr/common/wfs/templates/AtomicActivityTemplate.h>
#include <wfr/enactment/EnactmentEngine.h>
#include <wfr/common/scheduling/SchedulingDecision.h>
#include <wfr/execution/ExecutionManager.h>
#include <wfr/wep/utils/WepSearch.h>
#include <wfr/common/utils/print.h>
#include <iostream>
#include <set>
#include <boost/format.hpp>
#include <wfr/scheduling/scheduler/lookahead/LookaheadScheduler.h>
#include <queue>
#include <memory>
#include <cstring>
namespace wfr {
namespace scheduling {
void LookaheadScheduler::calcTaskRanks(wep::ActivityWepNode& node, std::vector<resource::ComputingResource*>& resources) {
/*std::cout << "calcTaskRanks: " << node.activity.baseActivity.baseTemplate.activityName << " (" << node.activity.instanceID << ")"
<< " [" << print::toString(node.activity.baseActivity.activityType()) << "]"
<< " [" << (int)node.nodeType << "]" << std::endl;*/
auto entry = (TaskRankEntry*)node.getUserData().get();
if (!entry) {
entry = new TaskRankEntry(resources.size());
if (node.nodeType == wep::WepNodeType::Atomic) {
// get fastest implementation for each resource
unsigned ri = 0;
double sumExecutionTimes = 0.0;
unsigned sumExecutionTimeCount = 0;
for (auto res : resources) {
prediction::ExecutionTimeResult fastestPred;
wfs::AtomicActivityImplementation* fastestImpl = nullptr;
for (auto impl : node.activity.baseActivity.baseTemplate.as<wfs::AtomicActivityTemplate>().atomicActivityType->getImplementations()) {
auto pred = predictionManager.predictExecutionTime(node.activity, *impl, res->resourceType, 1);
if (pred.isValid()) {
if (!fastestPred.isValid() || pred < fastestPred) {
fastestPred = pred;
fastestImpl = impl;
}
}
}
entry->fastestImplementations[ri] = fastestImpl;
entry->fastestExecutionTimes[ri] = fastestPred;
if (fastestPred.isValid()) {
sumExecutionTimeCount++;
sumExecutionTimes += fastestPred.executionTime.getValue();
}
ri++;
}
entry->averageExecutionTime = sumExecutionTimes / (double)sumExecutionTimeCount;
}
node.setUserData(std::shared_ptr<void>(entry));
if (node.nodeType == wep::WepNodeType::Atomic) {
node.activity.setUserData(std::shared_ptr<void>(entry));
}
}
if (!entry->finalized) {
auto successors = node.getSuccessors();
if (successors.size() == 0) {
// exit task
//std::cout << "\tNo successors => exit task: " << entry->averageExecutionTime << std::endl;
entry->rank = entry->averageExecutionTime;
entry->finalized = true;
} else {
bool succsFinalized = true;
double maxSuccRank = 0.0;
for (auto s : successors) {
auto& succ = s->as<wep::ActivityWepNode>();
/*std::cout << "\tSuccessor: " << succ.activity.baseActivity.baseTemplate.activityName << " (" << succ.activity.instanceID << ")"
<< " [" << print::toString(succ.activity.baseActivity.activityType()) << "]"
<< "[" << (int)succ.nodeType << "]" << std::endl;*/
auto succEntry = (TaskRankEntry*)succ.getUserData().get();
if (!succEntry || !succEntry->finalized) {
// recursively calculate ranks
//std::cout << "recursive call start" << std::endl;
calcTaskRanks(succ, resources);
//std::cout << "recursive call end" << std::endl;
if (!succEntry) {
succEntry = (TaskRankEntry*)succ.getUserData().get();
}
succsFinalized = succsFinalized && succEntry->finalized;
}
// Get average communication time
double averaveCommTime = 0.0;
if (node.nodeType == wep::WepNodeType::Atomic && succ.nodeType == wep::WepNodeType::Atomic) {
double sumCommTime = 0.0;
unsigned sumCommTimeCount = 0;
for (auto res1 : resources) {
for (auto res2 : resources) {
if (res1 != res2) {
auto pred = predictionManager.predictCommunicationTime(node.activity, *res1, succ.activity, *res2);
if (pred.isValid) {
sumCommTime += pred.communicationTime.getValue();
sumCommTimeCount++;
}
}
}
}
averaveCommTime = sumCommTime / (double)sumCommTimeCount;
}
auto succRank = averaveCommTime + succEntry->rank;
if (succRank > maxSuccRank) {
maxSuccRank = succRank;
}
}
if (node.nodeType == wep::WepNodeType::Atomic) {
/*std::cout << "AverageExecTime: " << node.activity.baseActivity.baseTemplate.activityName << " (" << node.activity.instanceID << ")"
<< " [" << print::toString(node.activity.baseActivity.activityType()) << "]"
<< " [" << (int)node.nodeType << "]: " << entry->averageExecutionTime << std::endl;*/
entry->rank = entry->averageExecutionTime + maxSuccRank;
} else {
entry->rank = maxSuccRank;
}
/*std::cout << "Rank: " << node.activity.baseActivity.baseTemplate.activityName << " (" << node.activity.instanceID << ")"
<< " [" << print::toString(node.activity.baseActivity.activityType()) << "]"
<< " [" << (int)node.nodeType << "]: " << entry->rank << std::endl;*/
if (succsFinalized) {
if (node.nodeType == wep::WepNodeType::CompositeStart || node.nodeType == wep::WepNodeType::IterationStart) {
if (node.getLastKnownInstanceStatus() >= wfs::ActivityInstanceStatus::ReadyForExecution) {
entry->finalized = true;
}
} else {
entry->finalized = true;
}
/*if (entry->finalized) {
std::cout << "Finalizing: " << node.activity.baseActivity.baseTemplate.activityName << " (" << node.activity.instanceID << ")"
<< " [" << print::toString(node.activity.baseActivity.activityType()) << "]"
<< " [" << (int)node.nodeType << "]" << std::endl;
}*/
}
}
}
}
void LookaheadScheduler::_notifyWEPUpdate(SchedulerBase::WepMapEntry& wepe, std::set<wep::AtomicWepNode*> readyToExecute, std::unique_lock<std::mutex>& schedulerLock) {
auto resourceTypes = resourceManager.getComputingResourceTypes();
auto resources = resourceManager.getComputingResources();
calcTaskRanks(wepe.wep->getStartNode()->as<wep::ActivityWepNode>(), resources);
readySet.insert(readyToExecute.begin(), readyToExecute.end());
scheduleReadySet(wepe, resources, schedulerLock);
}
void LookaheadScheduler::scheduleReadySet(WepMapEntry& wepe, std::vector<resource::ComputingResource*>& resources, std::unique_lock<std::mutex>& schedulerLock) {
struct _schedulingPriorityQueueComparison {
bool operator()(wep::AtomicWepNode* e1, wep::AtomicWepNode* e2) {
auto entry1 = (TaskRankEntry*)e1->getUserData().get();
auto entry2 = (TaskRankEntry*)e2->getUserData().get();
if (entry1 && !entry2) {
return false;
} else if (!entry1 && entry2) {
return true;
} else if (entry1 && entry2) {
return entry1->rank < entry2->rank;
} else {
return false;
}
}
};
std::priority_queue<wep::AtomicWepNode*, std::vector<wep::AtomicWepNode*>, _schedulingPriorityQueueComparison> schedulingPriorityQueue;
// Put elements from ready set into priority queue thereby sorting them by rank
for (auto n : readySet) {
schedulingPriorityQueue.push(n);
}
while (!schedulingPriorityQueue.empty()) {
auto task = schedulingPriorityQueue.top();
schedulingPriorityQueue.pop();
auto entry = (TaskRankEntry*)task->getUserData().get();
int ri = 0;
prediction::ExecutionTimeResult fastestPred;
wfs::AtomicActivityImplementation* fastestImpl = nullptr;
resource::ComputingResource* fastestResource = nullptr;
double earliestEstimatedFinishTime = -1;
double minSuccEFT = -1;
auto succs = task->activity.getSuccessors();
for (auto res : resources) {
if (entry->fastestImplementations[ri]) {
auto estimatedFinishTime = _getResourceEstimatedAvailableTime(res) + entry->fastestExecutionTimes[ri].executionTime.getValue();
auto maxSuccEFT = -1;
if (succs.size() > 0) {
// do lookahead
struct _succSchedulingQueueComparison {
bool operator()(wfs::ActivityInstance* e1, wfs::ActivityInstance* e2) {
auto entry1 = (TaskRankEntry*)e1->getUserData().get();
auto entry2 = (TaskRankEntry*)e2->getUserData().get();
if (entry1 && !entry2) {
return false;
} else if (!entry1 && entry2) {
return true;
} else if (entry1 && entry2) {
return entry1->rank < entry2->rank;
} else {
return false;
}
}
};
std::priority_queue<wfs::ActivityInstance*, std::vector<wfs::ActivityInstance*>, _succSchedulingQueueComparison> succSchedulingQueue;
std::map<resource::ComputingResource*, double> resourceEATMap;
resourceEATMap[res] = estimatedFinishTime;
for (auto succ : succs) {
if (succ->activityType() == wfs::ActivityType::Atomic) {
succSchedulingQueue.push(succ);
}
}
while (!succSchedulingQueue.empty()) {
auto succ = succSchedulingQueue.top();
succSchedulingQueue.pop();
auto succEntry = (TaskRankEntry*)succ->getUserData().get();
unsigned ri2 = 0;
unsigned minEFT = -1;
resource::ComputingResource* minEFTResource = nullptr;
for (auto res2 : resources) {
double succEFT = -1;
if (entry->fastestImplementations[ri2]) {
succEFT = resourceEATMap[res2] + succEntry->fastestExecutionTimes[ri2].executionTime.getValue();
}
if (succEFT > 0 && (minEFT < 0 || succEFT < minEFT)) {
minEFT = succEFT;
minEFTResource = res2;
}
}
if (minEFT > 0) {
resourceEATMap[minEFTResource] = minEFT;
}
}
for (auto e : resourceEATMap) {
if (maxSuccEFT < 0 || e.second > maxSuccEFT) {
maxSuccEFT = e.second;
}
}
if (minSuccEFT < 0 || maxSuccEFT < minSuccEFT) {
minSuccEFT = maxSuccEFT;
earliestEstimatedFinishTime = estimatedFinishTime;
fastestImpl = entry->fastestImplementations[ri];
fastestPred = entry->fastestExecutionTimes[ri];
fastestResource = res;
}
// no successors
} else if (earliestEstimatedFinishTime < 0.0 || estimatedFinishTime < earliestEstimatedFinishTime) {
earliestEstimatedFinishTime = estimatedFinishTime;
fastestImpl = entry->fastestImplementations[ri];
fastestPred = entry->fastestExecutionTimes[ri];
fastestResource = res;
}
}
ri++;
}
if (fastestResource) {
/*auto entry = (TaskRankEntry*)task->getUserData().get();
std::cout << task->activity.baseActivity.baseTemplate.activityName << "[" << task->activity.instanceID << "]: "
<< entry->rank << std::endl;
std::cout << "\tFastest Resource: " << fastestResource->resourceIdentifier << ": prediction = " << fastestPred.getExecutionTime().getValue() << std::endl;*/
auto reservation = resourceManager.reserveComputingResource(fastestResource, 1, true);
if (reservation) {
std::shared_ptr<SchedulingDecision> sd = std::make_shared<SchedulingDecision>(&task->activity, fastestImpl, wepe.wep, reservation);
sd->setPrediction(fastestPred);
task->activity.setInstanceStatus(wfs::ActivityInstanceStatus::Scheduled);
executeSchedulingDecision(wepe, sd, schedulerLock);
readySet.erase(task);
}
}
}
}
void LookaheadScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {
//auto resources = resourceManager.getComputingResources();
//scheduleReadySet(wepe, resources, schedulerLock);
}
void LookaheadScheduler::_unregisterWEP(WepMapEntry& wepe, std::unique_lock<std::mutex>& schedulerLock) {
/*std::cout << "Task Ranks: " << std::endl;
std::set<wep::AbstractWepNode*> visitedNodes;
auto visitFunc = [&](wep::AbstractWepNode* node) -> bool {
if (visitedNodes.find(node) == visitedNodes.end()) {
auto entry = (TaskRankEntry*)node->getUserData().get();
if (entry) {
std::cout << "\t" << node->as<wep::ActivityWepNode>().activity.baseActivity.baseTemplate.activityName
<< "[" << node->as<wep::ActivityWepNode>().activity.instanceID << "]: " << entry->rank << std::endl;
} else {
std::cout << "\t" << node->as<wep::ActivityWepNode>().activity.baseActivity.baseTemplate.activityName
<< "[" << node->as<wep::ActivityWepNode>().activity.instanceID << "]: No Entry" << std::endl;
}
visitedNodes.insert(node);
}
return true;
};
wfr::utils::wep::wepBreadthFirstSearch(wepe.wep->getStartNode(), visitFunc);*/
}
} /* namespace scheduler */
} /* namespace wfr */
@@ -24,39 +24,6 @@ namespace scheduling {
double MinMinScheduler::_getResourceEstimatedAvailableTime(resource::ComputingResource* resource) {
if (resource->getFreeSlotCount() > 0) {
return 0.0;
} else {
// Calculating the estimated available time for resources with more than 1 slot is not trivial
// Here we are employing a heuristic that partitions the scheduled tasks into chunks the size of the maximal slot count,
// takes the minimum time of each chunk and adds them together.
unsigned i = 0;
double eat = 0;
double minTime = -1;
auto& tasks = scheduledTasks[resource];
for (auto t : tasks) {
i++;
if (minTime < 0) {
minTime = t->getPrediction().getExecutionTime().getValue();
} else {
if (i > resource->getMaxSlotCount()) {
eat += minTime;
i = 0;
minTime = t->getPrediction().getExecutionTime().getValue();
} else {
if (t->getPrediction().getExecutionTime().getValue() < minTime) {
minTime = t->getPrediction().getExecutionTime().getValue();
}
}
}
}
return eat;
}
}
std::pair<wep::AtomicWepNode*, MinMinScheduler::ECTEntry> MinMinScheduler::_getNextTaskToSchedule(std::map<wep::AtomicWepNode*, ECTEntry>& estimatedTaskCompletionTimes) {
wep::AtomicWepNode* selectedNode = nullptr;
ECTEntry selectedEntry;
@@ -143,22 +110,13 @@ void MinMinScheduler::_notifyWEPUpdate(SchedulerBase::WepMapEntry& wepe, std::se
auto sd = std::make_shared<SchedulingDecision>(&selectedTask.first->activity, std::get<1>(selectedTask.second), wepe.wep, reservation);
sd->setPrediction(std::get<3>(selectedTask.second));
selectedTask.first->activity.setInstanceStatus(wfs::ActivityInstanceStatus::Scheduled);
scheduledTasks[sd->resource].push_back(sd);
executeSchedulingDecision(wepe, sd, schedulerLock);
readyToExecute.erase(selectedTask.first);
}
}
}
void MinMinScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {
auto& innerMap = scheduledTasks[sd->resource];
for (auto i = innerMap.begin(); i != innerMap.end(); i++) {
if (*i == sd) {
innerMap.erase(i);
break;
}
}
}
void MinMinScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {}
} /* namespace scheduling */
} /* namespace wfr */
@@ -29,6 +29,7 @@ namespace wfr {
namespace scheduling {
void PEFTScheduler::calcOptimisticCosts(wep::ActivityWepNode& node, std::vector<resource::ComputingResource*>& resources) {
/*std::cout << "calcOptimisticCosts: " << node.activity.baseActivity.baseTemplate.activityName << " (" << node.activity.instanceID << ")"
<< " [" << print::toString(node.activity.baseActivity.activityType()) << "]"
@@ -157,11 +158,6 @@ void PEFTScheduler::_notifyWEPUpdate(SchedulerBase::WepMapEntry& wepe, std::set<
scheduleReadySet(wepe, resources, schedulerLock);
}
void PEFTScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {
//auto resources = resourceManager.getComputingResources();
//scheduleReadySet(wepe, resources, schedulerLock);
}
void PEFTScheduler::scheduleReadySet(WepMapEntry& wepe, std::vector<resource::ComputingResource*>& resources, std::unique_lock<std::mutex>& schedulerLock) {
struct _schedulingPriorityQueueComparison {
@@ -194,9 +190,12 @@ void PEFTScheduler::scheduleReadySet(WepMapEntry& wepe, std::vector<resource::Co
prediction::ExecutionTimeResult fastestPred;
wfs::AtomicActivityImplementation* fastestImpl = nullptr;
resource::ComputingResource* fastestResource = nullptr;
double earliestEstimatedFinishTime = -1;
for (auto res : resources) {
if (entry->fastestImplementations[ri] && res->getFreeSlotCount() > 0) {
if (!fastestPred.isValid() || entry->fastestExecutionTimes[ri].executionTime.getValue() < fastestPred.executionTime.getValue()) {
if (entry->fastestImplementations[ri]) {
auto estimatedFinishTime = _getResourceEstimatedAvailableTime(res) + entry->fastestExecutionTimes[ri].executionTime.getValue();
if (earliestEstimatedFinishTime < 0.0 || estimatedFinishTime < earliestEstimatedFinishTime) {
earliestEstimatedFinishTime = estimatedFinishTime;
fastestImpl = entry->fastestImplementations[ri];
fastestPred = entry->fastestExecutionTimes[ri];
fastestResource = res;
@@ -217,6 +216,11 @@ void PEFTScheduler::scheduleReadySet(WepMapEntry& wepe, std::vector<resource::Co
}
}
void PEFTScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {
//auto resources = resourceManager.getComputingResources();
//scheduleReadySet(wepe, resources, schedulerLock);
}
} /* namespace scheduler */
@@ -24,39 +24,6 @@ namespace scheduling {
double SufferageScheduler::_getResourceEstimatedAvailableTime(resource::ComputingResource* resource) {
if (resource->getFreeSlotCount() > 0) {
return 0.0;
} else {
// Calculating the estimated available time for resources with more than 1 slot is not trivial
// Here we are employing a heuristic that partitions the scheduled tasks into chunks the size of the maximal slot count,
// takes the minimum time of each chunk and adds them together.
unsigned i = 0;
double eat = 0;
double minTime = -1;
auto& tasks = scheduledTasks[resource];
for (auto t : tasks) {
i++;
if (minTime < 0) {
minTime = t->getPrediction().getExecutionTime().getValue();
} else {
if (i > resource->getMaxSlotCount()) {
eat += minTime;
i = 0;
minTime = t->getPrediction().getExecutionTime().getValue();
} else {
if (t->getPrediction().getExecutionTime().getValue() < minTime) {
minTime = t->getPrediction().getExecutionTime().getValue();
}
}
}
}
return eat;
}
}
std::pair<wep::AtomicWepNode*, SufferageScheduler::ECTEntry> SufferageScheduler::_getNextTaskToSchedule(std::map<wep::AtomicWepNode*, ECTEntry>& estimatedTaskCompletionTimes) {
wep::AtomicWepNode* selectedNode = nullptr;
ECTEntry selectedEntry;
@@ -155,22 +122,13 @@ void SufferageScheduler::_notifyWEPUpdate(SchedulerBase::WepMapEntry& wepe, std:
auto sd = std::make_shared<SchedulingDecision>(&selectedTask.first->activity, std::get<1>(selectedTask.second), wepe.wep, reservation);
sd->setPrediction(std::get<3>(selectedTask.second));
selectedTask.first->activity.setInstanceStatus(wfs::ActivityInstanceStatus::Scheduled);
scheduledTasks[sd->resource].push_back(sd);
executeSchedulingDecision(wepe, sd, schedulerLock);
readyToExecute.erase(selectedTask.first);
}
}
}
void SufferageScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {
auto& innerMap = scheduledTasks[sd->resource];
for (auto i = innerMap.begin(); i != innerMap.end(); i++) {
if (*i == sd) {
innerMap.erase(i);
break;
}
}
}
void SufferageScheduler::_notifySchedulingDecisionStatusUpdate(WepMapEntry& wepe, std::shared_ptr<SchedulingDecision> sd, std::unique_lock<std::mutex>& schedulerLock) {}
} /* namespace scheduling */
} /* namespace wfr */