Added javadocs and separated trivial implementations into distinct packages.
diff --git a/core/trivial/src/main/java/org/onlab/onos/net/trivial/topology/provider/impl/DefaultTopologyDescription.java b/core/trivial/src/main/java/org/onlab/onos/net/trivial/topology/provider/impl/DefaultTopologyDescription.java
new file mode 100644
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--- /dev/null
+++ b/core/trivial/src/main/java/org/onlab/onos/net/trivial/topology/provider/impl/DefaultTopologyDescription.java
@@ -0,0 +1,324 @@
+package org.onlab.onos.net.trivial.topology.provider.impl;
+
+import com.google.common.collect.ImmutableSet;
+import com.google.common.collect.Maps;
+import com.google.common.collect.Multimap;
+import com.google.common.collect.Sets;
+import org.onlab.graph.AdjacencyListsGraph;
+import org.onlab.graph.DijkstraGraphSearch;
+import org.onlab.graph.Graph;
+import org.onlab.graph.GraphPathSearch;
+import org.onlab.graph.TarjanGraphSearch;
+import org.onlab.onos.net.ConnectPoint;
+import org.onlab.onos.net.Device;
+import org.onlab.onos.net.DeviceId;
+import org.onlab.onos.net.Link;
+import org.onlab.onos.net.topology.ClusterId;
+import org.onlab.onos.net.topology.DefaultTopologyCluster;
+import org.onlab.onos.net.topology.LinkWeight;
+import org.onlab.onos.net.topology.TopoEdge;
+import org.onlab.onos.net.topology.TopoVertex;
+import org.onlab.onos.net.topology.TopologyCluster;
+import org.onlab.onos.net.topology.TopologyDescription;
+
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.Set;
+
+import static com.google.common.base.MoreObjects.toStringHelper;
+import static org.onlab.graph.GraphPathSearch.Result;
+import static org.onlab.graph.TarjanGraphSearch.SCCResult;
+import static org.onlab.onos.net.Link.Type.INDIRECT;
+
+/**
+ * Default implementation of an immutable topology data carrier.
+ */
+class DefaultTopologyDescription implements TopologyDescription {
+
+    private static final GraphPathSearch<TopoVertex, TopoEdge> DIJKSTRA =
+            new DijkstraGraphSearch<>();
+    private static final TarjanGraphSearch<TopoVertex, TopoEdge> TARJAN =
+            new TarjanGraphSearch<>();
+
+    private final long nanos;
+    private final Map<DeviceId, TopoVertex> vertexesById = Maps.newHashMap();
+    private final Graph<TopoVertex, TopoEdge> graph;
+    private final Map<DeviceId, Result<TopoVertex, TopoEdge>> results;
+    private final Map<ClusterId, TopologyCluster> clusters;
+
+    // Secondary look-up indexes
+    private Multimap<ClusterId, DeviceId> devicesByCluster;
+    private Multimap<ClusterId, Link> linksByCluster;
+    private Map<DeviceId, TopologyCluster> clustersByDevice;
+
+    /**
+     * Creates a topology description to carry topology vitals to the core.
+     *
+     * @param nanos   time in nanos of when the topology description was created
+     * @param devices collection of devices
+     * @param links
+     */
+    DefaultTopologyDescription(long nanos, Iterable<Device> devices, Iterable<Link> links) {
+        this.nanos = nanos;
+        this.graph = buildGraph(devices, links);
+        this.results = computeDefaultPaths();
+        this.clusters = computeClusters();
+    }
+
+    // Constructs the topology graph using the supplied devices and links.
+    private Graph<TopoVertex, TopoEdge> buildGraph(Iterable<Device> devices,
+                                                   Iterable<Link> links) {
+        Graph<TopoVertex, TopoEdge> graph =
+                new AdjacencyListsGraph<>(buildVertexes(devices),
+                                          buildEdges(links));
+        return graph;
+    }
+
+    // Builds a set of topology vertexes from the specified list of devices
+    private Set<TopoVertex> buildVertexes(Iterable<Device> devices) {
+        Set<TopoVertex> vertexes = Sets.newHashSet();
+        for (Device device : devices) {
+            TopoVertex vertex = new TVertex(device.id());
+            vertexesById.put(vertex.deviceId(), vertex);
+            vertexes.add(vertex);
+        }
+        return vertexes;
+    }
+
+    // Builds a set of topology vertexes from the specified list of links
+    private Set<TopoEdge> buildEdges(Iterable<Link> links) {
+        Set<TopoEdge> edges = Sets.newHashSet();
+        for (Link link : links) {
+            edges.add(new TEdge(vertexOf(link.src()), vertexOf(link.dst()), link));
+        }
+        return edges;
+    }
+
+    // Computes the default shortest paths for all source/dest pairs using
+    // the multi-path Dijkstra and hop-count as path cost.
+    private Map<DeviceId, Result<TopoVertex, TopoEdge>> computeDefaultPaths() {
+        LinkWeight weight = new HopCountLinkWeight(graph.getVertexes().size());
+        Map<DeviceId, Result<TopoVertex, TopoEdge>> results = Maps.newHashMap();
+
+        // Search graph paths for each source to all destinations.
+        for (TopoVertex src : vertexesById.values()) {
+            results.put(src.deviceId(), DIJKSTRA.search(graph, src, null, weight));
+        }
+        return results;
+    }
+
+    // Computes topology SCC clusters using Tarjan algorithm.
+    private Map<ClusterId, TopologyCluster> computeClusters() {
+        Map<ClusterId, TopologyCluster> clusters = Maps.newHashMap();
+        SCCResult<TopoVertex, TopoEdge> result = TARJAN.search(graph, new NoIndirectLinksWeight());
+
+        // Extract both vertexes and edges from the results; the lists form
+        // pairs along the same index.
+        List<Set<TopoVertex>> clusterVertexes = result.clusterVertexes();
+        List<Set<TopoEdge>> clusterEdges = result.clusterEdges();
+
+        // Scan over the lists and create a cluster from the results.
+        for (int i = 0, n = result.clusterCount(); i < n; i++) {
+            Set<TopoVertex> vertexSet = clusterVertexes.get(i);
+            Set<TopoEdge> edgeSet = clusterEdges.get(i);
+
+            DefaultTopologyCluster cluster =
+                    new DefaultTopologyCluster(ClusterId.clusterId(i),
+                                               vertexSet.size(), edgeSet.size(),
+                                               findRoot(vertexSet).deviceId());
+
+            findClusterDevices(vertexSet, cluster);
+            findClusterLinks(edgeSet, cluster);
+        }
+        return clusters;
+    }
+
+    // Scan through the set of cluster vertices and convert it to a set of
+    // device ids; register the cluster by device id as well.
+    private void findClusterDevices(Set<TopoVertex> vertexSet,
+                                    DefaultTopologyCluster cluster) {
+        Set<DeviceId> ids = new HashSet<>(vertexSet.size());
+        for (TopoVertex v : vertexSet) {
+            DeviceId deviceId = v.deviceId();
+            devicesByCluster.put(cluster.id(), deviceId);
+            clustersByDevice.put(deviceId, cluster);
+        }
+    }
+
+    private void findClusterLinks(Set<TopoEdge> edgeSet,
+                                  DefaultTopologyCluster cluster) {
+        for (TopoEdge e : edgeSet) {
+            linksByCluster.put(cluster.id(), e.link());
+        }
+    }
+
+    // Finds the vertex whose device id is the lexicographical minimum in the
+    // specified set.
+    private TopoVertex findRoot(Set<TopoVertex> vertexSet) {
+        TopoVertex minVertex = null;
+        for (TopoVertex vertex : vertexSet) {
+            if (minVertex == null ||
+                    minVertex.deviceId().toString()
+                            .compareTo(minVertex.deviceId().toString()) < 0) {
+                minVertex = vertex;
+            }
+        }
+        return minVertex;
+    }
+
+    // Fetches a vertex corresponding to the given connection point device.
+    private TopoVertex vertexOf(ConnectPoint connectPoint) {
+        DeviceId id = connectPoint.deviceId();
+        TopoVertex vertex = vertexesById.get(id);
+        if (vertex == null) {
+            // If vertex does not exist, create one and register it.
+            vertex = new TVertex(id);
+            vertexesById.put(id, vertex);
+        }
+        return vertex;
+    }
+
+    @Override
+    public long timestamp() {
+        return nanos;
+    }
+
+    @Override
+    public Graph<TopoVertex, TopoEdge> graph() {
+        return graph;
+    }
+
+    @Override
+    public Result<TopoVertex, TopoEdge> pathResults(DeviceId srcDeviceId) {
+        return results.get(srcDeviceId);
+    }
+
+    @Override
+    public Set<TopologyCluster> clusters() {
+        return ImmutableSet.copyOf(clusters.values());
+    }
+
+    @Override
+    public Set<DeviceId> clusterDevices(TopologyCluster cluster) {
+        return null; // clusterDevices.get(cluster.id());
+    }
+
+    @Override
+    public Set<Link> clusterLinks(TopologyCluster cluster) {
+        return null; // clusterLinks.get(cluster.id());
+    }
+
+    @Override
+    public TopologyCluster clusterFor(DeviceId deviceId) {
+        return null; // deviceClusters.get(deviceId);
+    }
+
+    // Implementation of the topology vertex backed by a device id
+    private static class TVertex implements TopoVertex {
+
+        private final DeviceId deviceId;
+
+        public TVertex(DeviceId deviceId) {
+            this.deviceId = deviceId;
+        }
+
+        @Override
+        public DeviceId deviceId() {
+            return deviceId;
+        }
+
+        @Override
+        public int hashCode() {
+            return Objects.hash(deviceId);
+        }
+
+        @Override
+        public boolean equals(Object obj) {
+            if (obj instanceof TVertex) {
+                final TVertex other = (TVertex) obj;
+                return Objects.equals(this.deviceId, other.deviceId);
+            }
+            return false;
+        }
+
+        @Override
+        public String toString() {
+            return deviceId.toString();
+        }
+    }
+
+    // Implementation of the topology edge backed by a link
+    private class TEdge implements TopoEdge {
+        private final Link link;
+        private final TopoVertex src;
+        private final TopoVertex dst;
+
+        public TEdge(TopoVertex src, TopoVertex dst, Link link) {
+            this.src = src;
+            this.dst = dst;
+            this.link = link;
+        }
+
+        @Override
+        public Link link() {
+            return link;
+        }
+
+        @Override
+        public TopoVertex src() {
+            return src;
+        }
+
+        @Override
+        public TopoVertex dst() {
+            return dst;
+        }
+
+        @Override
+        public int hashCode() {
+            return Objects.hash(link);
+        }
+
+        @Override
+        public boolean equals(Object obj) {
+            if (obj instanceof TEdge) {
+                final TEdge other = (TEdge) obj;
+                return Objects.equals(this.link, other.link);
+            }
+            return false;
+        }
+
+        @Override
+        public String toString() {
+            return toStringHelper(this).add("src", src).add("dst", dst).toString();
+        }
+    }
+
+    // Link weight for measuring link cost as hop count with indirect links
+    // being as expensive as traversing the entire graph to assume the worst.
+    private static class HopCountLinkWeight implements LinkWeight {
+        private final int indirectLinkCost;
+
+        public HopCountLinkWeight(int indirectLinkCost) {
+            this.indirectLinkCost = indirectLinkCost;
+        }
+
+        @Override
+        public double weight(TopoEdge edge) {
+            // To force preference to use direct paths first, make indirect
+            // links as expensive as the linear vertex traversal.
+            return edge.link().type() == INDIRECT ? indirectLinkCost : 1;
+        }
+    }
+
+    // Link weight for preventing traversal over indirect links.
+    private static class NoIndirectLinksWeight implements LinkWeight {
+        @Override
+        public double weight(TopoEdge edge) {
+            return edge.link().type() == INDIRECT ? -1 : 1;
+        }
+    }
+
+}