Method for optimally utilizing a peer to peer network

Abstract
The present invention relates to optimally utilizing a peer to peer network by increasing the amount of communication messages that are received. The present invention does this by eliminating under performing connections, by controlling how connections are attempted and by locating optimal connections. The present invention provides a way to increase the number of nodes that are available for searching.
Description
FIELD OF THE INVENTION

The present invention provides a method for optimally utilizing peer to peer networks, and, in particular, to optimally utilize peer to peer networks to increase the amount of communications messages received.


BACKGROUND OF THE INVENTION

As used herein, peer to peer networks which are the subject of the present invention comprise multiple nodes, each node typically consisting both of file server and client which can send and receive communication messages or information to or from a node to which such is connected.


In a peer to peer network each node is connected to other nodes over a communication medium such as the internet either directly or through some type of proxy. For example, when a search request is issued such originating node sends a search request to all of the nodes to which it is connected (see FIG. 1) These nodes search their list of available files and if a match is found they send a response back with the location. However, a peer to peer proxy network typically consists of node A which is connected to a node B and node B is connected to a node C. (see FIG. 2) Node A is not connected to node C such that if node A issues a search request it will be forwarded to node B and Node B will search its available files and if a match is found it will send a response back to node A. Node B will then forward node A's request to node C and Node C will search its available files and if a match is found it will send a response back to node B. Node B will then forward this response to Node A. FIG. 3 discloses a nonproxy loop network wherein each node is directly connected to another.


Some peer to peer networks utilize a leaf node/main node proxy topology (See FIG. 4) where some nodes are classified as main nodes and the remaining nodes are classified as leaf nodes. Leaf nodes can only connect to main nodes. Only main nodes can connect to other main nodes. When a leaf node issues a search request it sends the request to the main node that it is connected to. The main node then forwards the request to any other leaf nodes that are connected to it and also to any main nodes it is connected to. These main nodes forward the request to any leaf nodes that are connected to them.


Accordingly it is an object of the present invention to provide a method for optimally utilizing a peer to peer network. It is yet another object of the invention to provide a method for reducing the number of connections required from a single node on a peer to peer network to view most, if not all, communication messages. It is yet another object of the invention to provide a method for optimally connecting to the network. It is yet another object of the invention to provide a method for locating nodes specific distances away from a first node.


SUMMARY OF THE INVENTION

Generally, the present invention provides a method for optimally utilizing a peer to peer network by controlling how a node connects into the network and by controlling how a node locates optimal nodes as well as by how the node interacts with the network and other nodes.


In one embodiment a first node issues a search for preselected information to help locate other nodes by watching responses. In another embodiment a first node issues a ping and compares the hops value to a predefined optimal value. In yet another embodiment a first node maintains connection statistics and compares these to a configured optimal value. In yet another embodiment a first node continuously clears its host cache at predetermined times.


In all of the embodiments, a node is configured to have one or more of the features set forth below. These features are employed in the invention to optimally utilize a peer to peer network as compared to the other network nodes on the particular network being addressed not so optimized. Thus, not all of the capabilities need to be programmed into each node in order to optimally utilize the network. The presently preferred methods of the present invention include:

    • configuring a node to send pings and review the distance parameters contained in the results.
    • configuring a node to send preconfigured searches and review the distance parameters contained in the results.
    • configuring a node to clear or modify its host cache based on a comparison of its host cache size.
    • configuring a node to clear or modify its host cache based on comparison of how long its host cache has existed.
    • configuring a node to throttle its connection attempts.
    • configuring a node to drop connections based on calculations of duplicate communication messages received.
    • configuring a node to drop connections based on the last time a transmission was received from a connection.
    • configuring a node to drop connections based on how well the connection is performing when compared to other connections.
    • configuring a node to connect to other similar nodes or a master node and share processing of the network.


Other advantages of the present invention will become apparent from a perusal of the following detailed description of presently preferred embodiments of the invention taken in connection with the accompanying drawings.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a simplified schematic of a two node peer to peer network;



FIG. 2 is a simplified schematic of a peer to peer proxy network;



FIG. 3 is a simplified schematic view of a peer to peer, nonproxy, loop network;



FIG. 4 is a simplified schematic of a peer to peer leaf/main node network;



FIG. 5 is a simplified schematic of a peer to peer network consisting of more than 5 hops;



FIG. 6 is a simplified schematic of a peer to peer network with nodes sharing the load;



FIG. 7 is a simplified schematic of a peer to peer network with nodes sharing the load but not yet connected;



FIG. 8 is a simplified schematic of a peer to network with a node throttling its connections;





DESCRIPTION OF PRESENTLY PREFERRED EMBODIMENTS

Generally, peer to peer networks are quite large, often a million or more nodes. To reduce the bandwidth required to operate such networks, nodes have a community imposed transmission distance limitation. Most communication messages contain communication radius parameters such as hops. Hops is a value that normally starts at 0 and increments each time the communications is forwarded. When hops reaches a preset limit, often 5, the communications is dropped from the network. This effectively enforces a community “time to live” value and limits the number of nodes that would receive the communications from a particular transmitting node. It therefore would be optimal and advantageous to connect in such a way that a node would be within reach of all communication messages.


In one embodiment of the invention a first node wishing to be optimally connected to a second node issues a search request containing a preconfigured search term. This search term can be any term but preferably one that will match many files on other nodes. As other nodes available through the second node respond to the first node, the first node looks at the hops value of their responses and compares it to a value which value can be preconfigured by the operator. Such value can be generated by a mathematical calculation based on other values, or it can be in relation to other values. If the hop value is equal or greater than the compared value, the first node will attempt to connect to the node sending the response. If the hop value is less than the compared value the first node will not attempt to connect to the node sending the response. This method allows the first node to connect to node that are N hops away from currently connected nodes and expands its communications radius.


In another embodiment, the first node connects to a second node and issues a ping rather than a second request. As other nodes available through the second node respond to the first node, the first node looks at the hops value of their responses and compares it to a value which can be preconfigured by the operator. Such value can be generated by a mathematical calculation based on other values, or it can be in relation to other values as in the first embodiment. If the hop value is more or greater than the compared value, the first node will attempt to connect to the node sending the response. If the hop value is less than the compared value the first node will not attempt to connect to the node sending the response. This method allows the first node to connect to node that are N hops away from currently connected nodes and expands its communications radius.


In another embodiment a first node seeking to locate other nodes on the network for connection purposes issues a search request containing a preconfigured search term. This search term can be any term but preferably one that will match many files on other nodes. As other nodes available through the second node respond to the first node, the first node attempts to connect to them or adds them to a cache to be connected to later.


Referring to FIG. 3, it is possible for a first node to be connected to other nodes which are within non-optimal distances from each other and these other nodes themselves having a second path to the first node. Other non-optimal connections are possible but the result of that is the first node would receive duplicate communications messages. It would benefit the first node if it could detect this situation, thus, in another embodiment of the invention, the first node maintains a count of duplicate communication messages which are received from each node. At intervals the first node will use the amount of duplicate communication messages in a preconfigured equation such as a comparison to a value, which value can be preconfigured by the operator, a value generated by a mathematical calculation based on other values or it can be in relation to other values. The comparison can be any comparison, for instance greater or less than or an average of. If using the equation, the node detects the connection is not optimal or meeting a certain criteria the first node will disconnect that connection.


It is possible for a first node to connect to a second node which is not connected to any other nodes or the second node may be configured to not forward any communications. In this situation the second node would be deemed unproductive. Thus, in another embodiment of the invention, the first node maintains a count of received communications messages for its connections. At intervals the first node will use the amount of received communication messages in a preconfigured equation such as a comparison to a value. This value can be preconfigured by the operator, it can be a value generated by a mathematical calculation based on other values or it can be in relation to other values. The comparison can be any comparison, for instance greater or less than or an average of. If using the equation, the node detects the connection is not optimal or meeting a certain criteria the first node will disconnect that connection.


In another embodiment the first node maintains a count of searches it has received from each connection. At intervals the first node will use these counts in a preconfigured equation such as a comparison to a value. This value can be preconfigured by the operator, it can be a value generated by a mathematical calculation based on other values or it can be in relation to other values. The comparison can be any comparison, for instance greater or less than or an average of. If using the equation, the node detects the connection is not optimal or meeting a certain criteria the first node will disconnect that connection.


In another embodiment the first node maintains the last time the node received a communication message on a specific connection. At intervals the first node will use the last transmission time in a preconfigured equation such as a comparison to a value, which value can be preconfigured by the operator, generated by a mathematical calculation based on other values or it can be in relation to other values. The comparison can be any comparison, for example greater or less than or an average of. If using the equation, the node detects the connection is not optimal or meeting a certain criteria the first node will disconnect that connection.


In some situations it may be preferable to drop connections that are not performing as well as the average of other connections or connections that are not performing within a certain percentage of the average of other connections or against a predefined performance range. Thus, in such a case, in another embodiment, the first node would keep specific communications statistics on its connections and at intervals calculate the average of these statistics and drop those connections that are below average or drop those connections that are below some percentage of the average.


Sometimes a node can get overloaded processing communications on peer to peer networks. In this situation it would be advantageous to be able to split the load of processing communications. Accordingly, in another embodiment of the invention, multiple nodes can connect to the network at different points and share the load. These multiple nodes would maintain communications paths between themselves or to a master node and transmit and receive information about what other network nodes and where each node is connected. This would allow multiple nodes to share the load. These nodes may also report back to a master node with the searches they are processing.


When connecting many times to a network, a load is placed on the resources of the node in relation to the number of connection attempts are occurring at one time. It would be a benefit to the node if it had some way to control or throttle multiple connection attempts to the network. In this embodiment of the invention, the node is configured for a set number of concurrent connection attempts. As connections are accepted, the node will add new connection attempts to maintain this set value. Without this method, a node wishing to connect to 1,000 other nodes would attempt 1,000 concurrent connections. With the method, and configured for a maximum number of 50 concurrent connections, the node would attempt 50 concurrent connection attempts to the network. As these connection attempts succeeded or failed the node would add enough new connection attempts to reach the set limit of 50. Once the limit of 1,000 connections are established the node would not attempt any further connections.


Although limiting and controlling the concurrent number of connection attempts by the node reduces load, it is sometimes desired to initially start with a large number of concurrent connection attempts and then limit the number to a set value. In another embodiment the node is configured to attempt only a set number of concurrent connection attempts. When the connection attempts first start, the node attempts as many connections as possible until the number of successful connections reaches some value. This value can be preconfigured by the operator, generated by a mathematical calculation based on other values, or it can be in relation to other values. Once this value is reached the node will reduce its attempts to the limited concurrent connection method described above.


In many cases, a first node may connect to a second node and after some time the second node may stop transmitting without the first node knowing of such occurrence. This second node may stop transmitting because of technical problems or it may stop transmitting because it is no longer being utilized. It would be a benefit to the first node to drop the connection just as a precaution after some time has past. In one embodiment the first node is configured to keep track of when it connected to a second node. After some configured or calculated time limit is reached, the first node drops the connection and attempts to connect to either the same node again or to a different node.


As nodes connect to the network they are constantly receiving address information about other nodes to which it can be potentially connected. As these new nodes are discovered they are added to a cache. This cache is used to provide the node with potential new connections. Some nodes have a set limit on the number concurrent connections they can have. Should their set limit be reached they will not connect to any further nodes but they will continue to add any newly discovered nodes to their cache. Should a node maintain very long connections, nodes in this cache may become invalid for various reasons. When the node finally looses connections and attempts to connect to nodes in the cache, resources are consumed and wasted because the nodes are invalid. Thus, in yet another embodiment, the node is configured to add nodes to its cache as normal but also configured to clear this cache at set intervals or when the cache reaches a certain limit. By constantly clearing the cache a reduction in invalid nodes is achieved.


EXAMPLES

The following Examples illustrate various embodiments of the methods according to the present Invention.


Example 1

Referring to FIG. 5, this example illustrates a method for obtaining hop information from search requests and using this information to optimally connect to the network.


In this example node A is connected to node B and wishes to optimally connect into the rest of the network. The network is configured to allow communication messages to travel a maximum of 5 hops so node A is configured to look for nodes 5 hops away. Each node contains a file called “Samuel.txt.” Node A sends out a search message to the network via node B with the term “Samuel.txt.” Nodes A, B, C, D, E and F all respond. Node A reviews each search response and finds that node F is 5 hops away. Node A connects to node F. Node A sends out a search message to the network via node F with the term “Samuel.txt.” Nodes B, C, D, E, F, G, H, I and R respond. Node A reviews each search response and finds that nodes B and R are 5 hops away. Node A knows that it is already connected to node B so it connects only to node R. Node A sends out a search message to the network via node R with the term “Samuel.txt.” Nodes F, G, H, I, R, Q, P, O and N respond. Node A reviews each search response and finds that nodes F and N are 5 hops away. Node A knows that it is already connected to node F so it connects only to node N. Node A sends out a search message to the network via node N with the term “Samuel.txt.” Nodes J, K, L, M, N, O, P, Q, and R respond. Node A reviews each search response and finds that nodes J and R are 5 hops away. Node A knows that it is already connected to node R so it connects only to node J. Node A sends out a search message to the network via node J with the term “Samuel.txt.” Nodes J, K, L, M, and N respond. Node A reviews each search response and finds that node N is 5 hops away. Node A knows that it is already connected to node N so it does not connect. Node A is now within 5 hops of all nodes and will receive all communications from all nodes.


Example 2

Referring again to FIG. 5, example 2 illustrates a method for obtaining hop information from pings and using this information to optimally connect to the network


In this example, node A is connected into node B and wishes to optimally connect into the rest of the network. The network is configured to allow communication messages to travel a maximum of 5 hops so node A is configured to look for nodes 5 hops away. Node A sends out a ping message to the network via node B. Nodes A, B, C, D, E and F all respond. Node A reviews each response and finds that node F is 5 hops away. Node A connects to node F. Node A sends out a ping to the network via node F. Nodes B, C, D, E, F, G, H, I and R respond. Node A reviews each response and finds that nodes B and R are 5 hops away. Node A knows that it is already connected to node B so it connects only to node R. Node A sends out a ping message to the network via node R. Nodes F, G, H, I, R, Q, P, O and N respond. Node A reviews each response and finds that nodes F and N are 5 hops away. Node A knows that it is already connected to node F so it connects only to node N. Node A sends out a ping message to the network via node N. Nodes J, K, L, M, N, O, P, Q, and R respond. Node A reviews each response and finds that nodes J and R are 5 hops away. Node A knows that it is already connected to node R so it connects only to node J. Node A sends out a ping message to the network via node J. Nodes J, K, L, M, and N respond. Node A reviews each response and finds that node N is 5 hops away. Node A knows that it is already connected to node N so it does not connect. Node A is now within 5 hops of all nodes and will receive all communications from all nodes.


Example 3

Referring to FIG. 5, example 3 illustrates a method for locating other nodes so that more connection options exist.


In this example Node A wishes to find other nodes to connect to. Node A is already connected to node B. The network is configured to allow communication messages to travel a maximum of 5 hops. Each node contains a file called “Samuel.txt.” Node A sends out a search message to the network via node B with the term “Samuel.txt.” Nodes A, B, C, D, E and F all respond. Node A reviews each search response and uses the address information contain in the message to connect to these nodes.


Example 4

Referring to FIGS. 2 and 3, example 4 illustrates a method for optimizing a node's connections by looking at the number of duplicate messages that exist.


Referring to FIG. 3, B seeks to locate the file “Samuel.txt” and sends a search request out both of its connections to nodes A and C. Node C receives the search request. Node A receives the search request. Node A forwards the search request to node C. Node C records that it has received a duplicate message from node A. Node C finds that it has been configured to drop connections when it receives 1 duplicate message so it drops the connection to node A. Node C can still see searches from node A because they will travel through node B. Now referring to FIG. 2, the end result is that only one connection is needed to receive all communications from the network.


Example 5

Referring to FIG. 4, example 5 illustrates a method for optimizing a node's connections by monitoring the number of communication messages received on a connection.


In this example, main node 4 wishes to optimize its connections by monitoring how many communication messages it is receiving from all connections and comparing them to an average. If a connection does not meet the average it will disconnect the connection. Main node 4 records the following statistics:

    • Main node 2 has sent 1 communication message
    • Main node 3 has sent 1 communication message
    • Leaf node G has sent 1 communication message
    • Leaf node H has sent 1 communication message


      Main node 4 then waits, for example, 5 minutes, and records the following statistics:
    • Main node 2 has sent 51 communication messages
    • Main node 3 has sent 53 communication messages
    • Leaf node G has sent 54 communication messages
    • Leaf node H has sent 1 communications message


      Main node 4 adds the delta of all messages together and divides by 4 to get an average of 38.75. Because main node 4 is configured to drop any connections below the average, it will drop the connection to leaf node H.


Example 6

Referring again to FIG. 4, example 6, illustrates a method for optimizing a node's connections by monitoring the time of the last transmission received on a connection.


In this example, main node 4 is programmed to optimize its connections by monitoring when the last time its connections received a communication message and comparing them to a value. If a connection has not received any communication messages within 1 minute the node will drop the connection. Main node 4 records the following statistics:

    • Main node 2 has sent 1 communication message
    • Main node 3 has sent 1 communication message
    • Leaf node G has sent 1 communication message
    • Leaf node H has sent 1 communication message


      Main node 4 then waits 1 minute and records the following statistics:
    • Main node 2 has sent 51 communication messages
    • Main node 3 has sent 53 communication messages
    • Leaf node G has sent 54 communication messages
    • Leaf node H has sent 1 communications message


      Because main node 4 is configured to drop any connections that have not received any communication messages within 1 minute it will drop the connection to leaf node H.


Example 7

Referring to FIG. 4 again, example 7 illustrates a method for optimizing a node's connections by monitoring the number of search requests received on its connections.


In this example, main node 4 is programmed to optimize its connections by monitoring how many search requests it is receiving from all connections and comparing them to an average. If a connection does not meet the average it will disconnect the connection. Main node 4 records the following statistics:

    • Main node 2 has sent 1 search request
    • Main node 3 has sent 1 search request
    • Leaf node G has sent 1 search request
    • Leaf node H has sent 1 search request


      Main node 4 then waits, 5 minutes and records the following statistics:
    • Main node 2 has sent 51 search request
    • Main node 3 has sent 53 search request
    • Leaf node G has sent 54 search request
    • Leaf node H has sent 1 search request


      Main node 4 adds the delta of all messages together and divides by 4 to get an average of 38.75. Because main node 4 is configured to drop any connections below the average, it will drop the connection to leaf node H.


Example 8

Referring to FIG. 6, example 8 illustrates a method for splitting the load among multiple nodes and reporting the information to a master node. The master node also keeps track of which network nodes the load sharing nodes are connected to.


Here, Nodes 1, 7 and 13 are depicted as sharing the load of monitoring a network at optimal points. Node 1 is connected to node 2 and reports this information to master node A. Node 7 is connected to node 8 and reports this information to master node A. Node 13 is connected to node 14 and reports this information to master node A. Node 7 wishes to connect to node 2 and sends this request to master node A. Master node A knows that node 1 is connected to node 2 and denies the request.


Node 2 issues a search request for “samuel.txt.” Node 1 receives this communications message and forwards it to master node A. Master node A records the information. Node 17 issues a search request for “bob.txt.” Node 13 receives this communication message and forwards it to master node A. Master node A records this information.


Example 9

Referring to FIGS. 6 and 7, example 9 illustrates a method for splitting the load among multiple nodes and reporting the information to a master node. The master node also informs the load sharings nodes which network nodes to connect to.


Referring first to FIG. 7, in this example Nodes 1, 7 and 13 wish to join the network. Nodes 1, 7 and 13 send communication messages to master node A requesting clients to connect to. Master node A replies to node 1 with connection information for node 2. Master node A replies to node 7 with connection information for node 8. Master node A replies to node 13 with connection information for node 14.


Nodes 1, 7 and 13 connect and are sharing the load of monitoring a network at optimal points. Node 1 is connected to node 2 and reports this information to master node A. Node 7 is connected to node 8 and reports this information to master node a. Node 13 is connected to node 14 and reports this information to master node A. Node 7 wishes to connect to node 2 and sends this request to master node A. Master node A knows that node 1 is connected to node 2 and denies the request.


Node 2 issues a search request for “samuel.txt.” Node 1 receives this communications message and forwards it to master node A. Master node A records the information. Node 17 issues a search request for “bob.txt.” Node 13 receives this communication message and forwards it to master node A. Master node A records this information.


Example 10

Referring to FIG. 8, example 10 illustrates a method for throttling connection attempts to a network.


In this example node C wishes to connect to a maximum of four other nodes. In its cache it has the following entries:

    • Node A
    • Node H
    • Node L
    • Node V
    • Node B
    • Node O
    • Node E
    • Node D


Node C is configured to only have a maximum of 2 concurrent connection attempts and to wait 10 seconds for each connection attempt. Node C attempts to connect to node A and node H. Node C connects to node A and establishes a connection. Node C continues to wait for the connection attempt to node H. Because Node C connected to node A, there is now one empty connection slot so node C attempts to connect to Node V. The connection attempt to node H fails so there is now one empty connection slot. Node C attempts to connect to node B and this connection attempt succeeds. Because once again there is one empty connection slot node C attempts to connect to node O. An error occurs immediately and at the same time the connection attempt to node V fails as well. There are now two empty connection slots available. Node C attempts to connect to node E and node D. Node C's connection attempt with node D is successful. After 10 seconds, the connection attempt to node E fails.


While presently preferred embodiments have been described and depicted, the invention may be otherwise embodied within the scope of the following claims:

Claims
  • 1. A method comprising the steps of: at a first peer node in a peer-to-peer network having a plurality of peer nodes in which connections among some of the peer nodes cannot be formed because a number of hops among such nodes is more than a maximum number of hops allowed for the peer-to-peer network:A. grouping the plurality of peer nodes into first and second sub-peer networks by: connecting to a second peer node to form a first direct connection;issuing a first search message to the second peer node requesting the second peer node to forward the search message to other peer nodes of the second peer node;receiving a first set of responses from the second peer node including responses from the other peer nodes of the second peer node;determining from peer node distance information provided in the first set of responses which of the other peer nodes of the second peer node is a determined peer node, such that a number of hops along a path from the first peer node to the second peer node to the determined peer node is equal to a maximum number of hops that the search message can be forwarded using the first direct connection to the second peer node;adding to the first sub-peer network, the second node and peers of the second node but not the determined peer node, wherein each node of the first sub-peer network is less than the maximum number of hops away from the first peer node;connecting directly to the determined peer node to form a second direct connection that is in addition to the first direct connection to the second peer node;issuing a second search message to the determined peer node requesting the determined peer node to forward the second search message to other peer nodes of the determined peer node;receiving a second set of responses from the determined peer node including responses from the other peer nodes of the determined peer node;determining from peer node distance information provided in the second set of responses which of the peer nodes of the determined peer node is a second determined peer node, such that a number of hops from the first node to the determined peer node to the second determined peer node is equal to a maximum number of hops that the second search message can be forwarded using the second direct connection;adding to the second sub-peer network, the determined peer node and peers of the determined peer node but not the second determined peer node, wherein each node of the second sub-peer network is less than the maximum number of hops away from the first peer node;B. controlling connections among the plurality of peer nodes of the first and second sub-peer networks by: receiving from the plurality of peer nodes, information about connections among the plurality of peer nodes within each of the sub-peer networks;maintaining the connection information; andaccepting and denying a search request received by the first peer node from a requesting peer node requesting to connect to another peer node located in a sub-peer network different from the requesting peer node and the first peer node, the accepting and denying based on the connection information maintained by the first peer node and received from peer nodes other than the requesting peer node.
  • 2. A method as set forth in claim 1 further comprising: g. keeping a statistic on at least one connection between the first node and at least one peer node connected to the first peer node;h. using the statistic for making a decision to disconnect the connected peer node; andi. disconnecting the connected peer node in response to the decision.
  • 3. A method as set forth in claim 2 wherein the statistic is a number of received communications messages.
  • 4. A method as set forth in claim 2 wherein the statistic is a last time a transmission was received.
  • 5. A method as set forth in claim 2 wherein the statistic is a number of searches received.
  • 6. A method as set forth in claim 2 wherein the statistic is based on an average or within a percentage of an average of other connections.
  • 7. A method as set forth in claim 2 wherein the decision is based on the statistic being of a lower value compared to statistics of other connections with other peer nodes.
  • 8. A method as set forth in claim 1 further comprising: storing a list of peer nodes for the first peer node to connect with;attempting to make at least one connection to at least one peer node from the list of peer nodes; andwaiting for a fixed duration of time in response to a failed connection attempt before attempting to make a connection to another peer node from the list of peer nodes.
  • 9. A method as set forth in claim 8 wherein the connection attempt is made concurrently to two nodes on the list.
  • 10. A method as set forth in claim 1 wherein the first and second search messages comprise a predefined search term.
  • 11. A method as set forth in claim 1 wherein the first and second search messages comprise a ping request.
  • 12. A method as set forth in claim 1 further including disconnecting a connection of the determined peer node in response to receiving a duplicate search message.
  • 13. A method as set forth in claim 1 further including: splitting a communications load amongst load sharing peer nodes, each of the load sharing peer nodes being a node amongst the plurality of peer nodes that is directly connected to the first peer node; andeach load sharing peer node monitoring a respective one of the first and second sub-peer networks for network communications.
  • 14. A method as set forth in claim 13 wherein each of the load sharing peer nodes is in communication with the first node.
  • 15. A method as set forth in claim 14 wherein the first node receives the network communications from the load sharing peer nodes.
RELATED PATENT APPLICATION

This is a continuation in part of U.S. patent application Ser. No. 10/764,111 filed Jan. 23, 2004 entitled Method for Monitoring and Providing Information Over a Peer to Peer Network.

US Referenced Citations (121)
Number Name Date Kind
111604 Bailey Feb 1871 A
5949760 Stevens et al. Sep 1999 A
5987011 Toh Nov 1999 A
6069896 Borgstahl et al. May 2000 A
6076088 Paik et al. Jun 2000 A
6205146 Rochberger et al. Mar 2001 B1
6668289 Cheng et al. Dec 2003 B2
6732180 Hale et al. May 2004 B1
6839769 Needham et al. Jan 2005 B2
6855660 Tsou et al. Feb 2005 B2
6918113 Patel et al. Jul 2005 B2
6965591 Roy Nov 2005 B1
6983320 Thomas et al. Jan 2006 B1
7003514 Dutta et al. Feb 2006 B2
7010534 Kraft Mar 2006 B2
7035653 Simon et al. Apr 2006 B2
7089301 Labio et al. Aug 2006 B1
7120145 Ohba et al. Oct 2006 B2
7120619 Drucker et al. Oct 2006 B2
7174382 Ramanathan et al. Feb 2007 B2
7177295 Sholander et al. Feb 2007 B1
7318092 Sutler Jan 2008 B2
7327683 Ogier et al. Feb 2008 B2
7441180 Kaczmarek et al. Oct 2008 B1
7574523 Traversat et al. Aug 2009 B2
7600033 Bauer et al. Oct 2009 B2
20010003191 Kovacs et al. Jun 2001 A1
20010037325 Biderman et al. Nov 2001 A1
20020016786 Pitkow et al. Feb 2002 A1
20020044549 Johansson et al. Apr 2002 A1
20020065832 Mack May 2002 A1
20020069089 Larkin et al. Jun 2002 A1
20020073204 Dutta et al. Jun 2002 A1
20020087885 Peled et al. Jul 2002 A1
20020129140 Peled et al. Sep 2002 A1
20020138471 Dutta et al. Sep 2002 A1
20020143989 Huitema et al. Oct 2002 A1
20020152262 Arkin et al. Oct 2002 A1
20020161844 Overtoom Oct 2002 A1
20020184310 Traversat et al. Dec 2002 A1
20020188735 Needham et al. Dec 2002 A1
20030005035 Rodgers Jan 2003 A1
20030037167 Garcia-Luna-Aceves et al. Feb 2003 A1
20030050966 Dutta et al. Mar 2003 A1
20030050980 Dutta et al. Mar 2003 A1
20030055892 Huitema et al. Mar 2003 A1
20030078889 Lee et al. Apr 2003 A1
20030088544 Kan et al. May 2003 A1
20030095660 Lee et al. May 2003 A1
20030112823 Collins et al. Jun 2003 A1
20030126136 Omoigui Jul 2003 A1
20030126199 Kadri et al. Jul 2003 A1
20030145093 Oren et al. Jul 2003 A1
20030182428 Li et al. Sep 2003 A1
20030191828 Ramanathan et al. Oct 2003 A1
20030195852 Campbell et al. Oct 2003 A1
20030202468 Cain et al. Oct 2003 A1
20030208621 Bowman Nov 2003 A1
20030212710 Guy Nov 2003 A1
20040019650 Auvenshine Jan 2004 A1
20040030651 Kim et al. Feb 2004 A1
20040034652 Hofmann et al. Feb 2004 A1
20040039921 Chuang Feb 2004 A1
20040044790 Loach et al. Mar 2004 A1
20040044996 Atallah Mar 2004 A1
20040098370 Garland et al. May 2004 A1
20040103297 Risan et al. May 2004 A1
20040111604 Fournier Jun 2004 A1
20040122958 Wardrop Jun 2004 A1
20040133571 Horne et al. Jul 2004 A1
20040139211 Baker et al. Jul 2004 A1
20040143842 Joshi Jul 2004 A1
20040148434 Matsubara et al. Jul 2004 A1
20040153472 Rieffanaugh, Jr. Aug 2004 A1
20040153658 Gunyakti et al. Aug 2004 A1
20040158630 Chang et al. Aug 2004 A1
20040196784 Larsson et al. Oct 2004 A1
20040218532 Khirman Nov 2004 A1
20040220926 Lamkin et al. Nov 2004 A1
20040230572 Omoigui Nov 2004 A1
20040236945 Risan et al. Nov 2004 A1
20040250106 Annese et al. Dec 2004 A1
20040250122 Newton Dec 2004 A1
20040260761 Leaute et al. Dec 2004 A1
20040260801 Li Dec 2004 A1
20050028012 Amamiya et al. Feb 2005 A1
20050038898 Mittig et al. Feb 2005 A1
20050043548 Cates Feb 2005 A1
20050060297 Najork Mar 2005 A1
20050080858 Pessach Apr 2005 A1
20050091167 Moore et al. Apr 2005 A1
20050091202 Thomas Apr 2005 A1
20050091397 Roberts et al. Apr 2005 A1
20050108203 Tang et al. May 2005 A1
20050108248 Natunen May 2005 A1
20050114709 Moore May 2005 A1
20050119998 Greco et al. Jun 2005 A1
20050125374 Curtis et al. Jun 2005 A1
20050125673 Cheng et al. Jun 2005 A1
20050144288 Liao Jun 2005 A1
20050163050 Hopkins Jul 2005 A1
20050163133 Hopkins Jul 2005 A1
20050163135 Hopkins Jul 2005 A1
20050187942 Dutta et al. Aug 2005 A1
20050203851 King et al. Sep 2005 A1
20050203892 Wesley et al. Sep 2005 A1
20050229243 Svendsen et al. Oct 2005 A1
20050229255 Gula et al. Oct 2005 A1
20050265259 Thubert et al. Dec 2005 A1
20050267945 Cohen et al. Dec 2005 A1
20060029093 Van Rossum Feb 2006 A1
20060034177 Schrempp Feb 2006 A1
20060039297 McNab Feb 2006 A1
20060117372 Hopkins Jun 2006 A1
20060136837 Ben-Shachar et al. Jun 2006 A1
20060209819 Jennings et al. Sep 2006 A1
20060248062 Libes et al. Nov 2006 A1
20070124721 Cowing et al. May 2007 A1
20070162463 Kester et al. Jul 2007 A1
20080140780 Hopkins et al. Jun 2008 A1
20080263013 Hopkins Oct 2008 A1
Foreign Referenced Citations (5)
Number Date Country
1107512 Jun 2001 EP
WO 03009524 Jan 2003 WO
WO 2005074229 Aug 2005 WO
WO 2005074230 Aug 2005 WO
WO 2006124027 Nov 2006 WO
Related Publications (1)
Number Date Country
20050163133 A1 Jul 2005 US
Continuation in Parts (1)
Number Date Country
Parent 10764111 Jan 2004 US
Child 11039981 US