CXXGraph  0.4.0
CXXGraph is a header only, that manages the Graphs and it's algorithm in C++
EBV.hpp
1 /***********************************************************/
2 /*** ______ ____ ______ _ ***/
3 /*** / ___\ \/ /\ \/ / ___|_ __ __ _ _ __ | |__ ***/
4 /*** | | \ / \ / | _| '__/ _` | '_ \| '_ \ ***/
5 /*** | |___ / \ / \ |_| | | | (_| | |_) | | | | ***/
6 /*** \____/_/\_\/_/\_\____|_| \__,_| .__/|_| |_| ***/
7 /*** |_| ***/
8 /***********************************************************/
9 /*** Header-Only C++ Library for Graph ***/
10 /*** Representation and Algorithms ***/
11 /***********************************************************/
12 /*** Author: ZigRazor ***/
13 /*** E-Mail: zigrazor@gmail.com ***/
14 /***********************************************************/
15 /*** Collaboration: ----------- ***/
16 /***********************************************************/
17 /*** License: MPL v2.0 ***/
18 /***********************************************************/
19 
20 #ifndef __CXXGRAPH_PARTITIONING_EBV_H__
21 #define __CXXGRAPH_PARTITIONING_EBV_H__
22 
23 #pragma once
24 
25 #include "Partitioning/Utility/Globals.hpp"
26 #include "Edge/Edge.hpp"
27 #include "PartitionStrategy.hpp"
28 #include <unordered_map>
29 #include <chrono>
30 
31 namespace CXXGRAPH
32 {
33  namespace PARTITIONING
34  {
39  template <typename T>
40  class EBV : public PartitionStrategy<T>
41  {
42  private:
43  Globals GLOBALS;
44 
45  public:
46  explicit EBV(Globals &G);
47  ~EBV();
48 
49  void performStep(const Edge<T> &e, PartitionState<T> &Sstate);
50  };
51  template <typename T>
52  EBV<T>::EBV(Globals &G) : GLOBALS(G)
53  {
54  //this->GLOBALS = G;
55  }
56  template <typename T>
57  EBV<T>::~EBV()
58  {
59  }
60  template <typename T>
61  void EBV<T>::performStep(const Edge<T> &e, PartitionState<T> &state)
62  {
63  GLOBALS.edgeAnalyzed++;
64 
65  int P = GLOBALS.numberOfPartition;
66  double alpha = GLOBALS.param1;
67  double beta = GLOBALS.param2;
68  unsigned long long edgeCardinality = GLOBALS.edgeCardinality;
69  unsigned long long vertexCardinality = GLOBALS.vertexCardinality;
70  auto nodePair = e.getNodePair();
71  int u = nodePair.first->getId();
72  int v = nodePair.second->getId();
73 
74  std::shared_ptr<Record<T>> u_record = state.getRecord(u);
75  std::shared_ptr<Record<T>> v_record = state.getRecord(v);
76 
77  //*** ASK FOR LOCK
78  bool locks_taken = false;
79  while (!locks_taken)
80  {
81  srand((unsigned)time(NULL));
82  int usleep_time = 2;
83  while (!u_record->getLock())
84  {
85  std::this_thread::sleep_for(std::chrono::microseconds(usleep_time));
86  usleep_time = (int)pow(usleep_time, 2);
87  }
88  usleep_time = 2;
89  if (u != v)
90  {
91  while (!v_record->getLock())
92  {
93  std::this_thread::sleep_for(std::chrono::microseconds(usleep_time));
94  usleep_time = (int)pow(usleep_time, 2);
95 
96  if (usleep_time > GLOBALS.SLEEP_LIMIT)
97  {
98  u_record->releaseLock();
99  performStep(e, state);
100  return;
101  } //TO AVOID DEADLOCK
102  }
103  }
104  locks_taken = true;
105  }
106  //*** LOCK TAKEN
107  int machine_id = -1;
108 
109  //*** COMPUTE SCORES, FIND MIN SCORE, AND COMPUTE CANDIDATES PARTITIONS
110  std::map<int, double> eva;
111  auto u_partition = u_record->getPartitions();
112  auto v_partition = v_record->getPartitions();
113  auto optimalEdgesNumber = (double)edgeCardinality / (double)P;
114  auto optimalVerticesNumber = (double)vertexCardinality / (double)P;
115  for (int i = 0; i < P; i++)
116  {
117  eva[i] = 0;
118  if (u_partition.empty() || u_partition.find(i) == u_partition.end())
119  {
120  eva[i] += 1;
121  }
122  if (v_partition.empty() || v_partition.find(i) == v_partition.end())
123  {
124  eva[i] += 1;
125  }
126  eva[i] += alpha * (state.getMachineLoad(i) / optimalEdgesNumber) + beta * (state.getMachineLoadVertices(i) / optimalVerticesNumber);
127  }
128  //find min between eva
129  double min = eva.at(0);
130  machine_id = 0;
131  for (auto &it : eva)
132  {
133  if (it.second < min)
134  {
135  min = it.second;
136  machine_id = it.first;
137  }
138  }
139  try
140  {
141  CoordinatedPartitionState<T> &cord_state = dynamic_cast<CoordinatedPartitionState<T> &>(state);
142  //NEW UPDATE RECORDS RULE TO UPFDATE THE SIZE OF THE PARTITIONS EXPRESSED AS THE NUMBER OF VERTICES THEY CONTAINS
143  if (!u_record->hasReplicaInPartition(machine_id))
144  {
145  u_record->addPartition(machine_id);
146  cord_state.incrementMachineLoadVertices(machine_id);
147  }
148  if (!v_record->hasReplicaInPartition(machine_id))
149  {
150  v_record->addPartition(machine_id);
151  cord_state.incrementMachineLoadVertices(machine_id);
152  }
153  }
154  catch (const std::bad_cast &e)
155  {
156  // use employee's member functions
157  //1-UPDATE RECORDS
158  if (!u_record->hasReplicaInPartition(machine_id))
159  {
160  u_record->addPartition(machine_id);
161  }
162  if (!v_record->hasReplicaInPartition(machine_id))
163  {
164  v_record->addPartition(machine_id);
165  }
166  }
167 
168  //2-UPDATE EDGES
169  state.incrementMachineLoad(machine_id, &e);
170 
171  //3-UPDATE DEGREES
172  u_record->incrementDegree();
173  v_record->incrementDegree();
174 
175  //*** RELEASE LOCK
176  u_record->releaseLock();
177  v_record->releaseLock();
178  return;
179  }
180  }
181 }
182 
183 #endif // __CXXGRAPH_PARTITIONING_EBV_H__
Definition: Edge.hpp:39
A Vertex Cut Partioning Algorithm ( as described by this paper https://arxiv.org/abs/2010....
Definition: EBV.hpp:41
Definition: Globals.hpp:32
Definition: PartitionState.hpp:33
Definition: PartitionStrategy.hpp:34