NMSL - User contributions [en-ca]

Private:vikas kumar

2008-07-04T00:58:30Z

Vikas:

Work Progress for Vikas.

=== Priorities ===
* Implement Mao's Algorithm
* Implement our customer only heuristic
* Get familiar with Nitin's peer matching simulation
* Collect real IP addresses from Bit - Torrent networks for evaluation
* Quantify AS dynamics
* Validate valley-free rule
* more efficient peer matching algorithm
* Better shortest path algorithm

== Week 1: May 26 ==

* Rewriting the code for computing distance matrices between any pair of ASes based on Mao's Algorithm

== Week 2 : Jun 2 ==
* Completed implementation of Mao's Algorithm
* Completed implementation of customer only heuristic and verified that output of both implementations are the same
* Starting peer matching simulation using Nitin's simulator

== Week 3: Jun 9 ==
* Completed AS Dynamics
* Working on Nitin's Simulator
=== 13th June's Meeting Minutes ===
* We want to compute AS Dynamics for only core ASes ( excluding customer only ASes)
* Implement the simulator for ISP friendly matching
* We also want to support the longest IP-prefix matching if receiver and sender are in the same AS
* In addition to AS hop distance, also use IP hop distance to evaluate our ISP friendly matching. (Consider a couple of ISPs' graph at Rocketfuel project)

== Week 4 + 5 Jun 15 ==
* Completed AS Dynamics for core ASes( excluding customer only ASes ), for only providers ASes and also for others ASes( excluding only provider and only-customer ASes ).
* Implemented simulator for Random Matching, Network Order Matching and ISP Friendly Matching.
* Got the result for different population and different percentage popularity. We used real IPs for simulation of actual bit-torrent users.
=== 26th June's Meeting Minutes ===
* Fixing the bugs in simulator and ISP-algorithm
* Implementation of AS distance-cum IP prefix Matching Algorithm
* Get the real IP list from CBC
* How can we improve AS-graph given by CAIDA as suggested in Sigmetrics paper.

== Week 6 Jun 30 ==
* Fixed the bugs in the simulator
* Implemented AS-cum-IP-PrefixMatching Algorithm
* Implemented code for checking IP distribution among ASes
* Simulated all the four algorithms on last 12 weeks AS maps by CAIDA and IPs list from nit torrent

Private:vikas kumar

2008-07-04T00:57:46Z

Vikas:

Work Progress for Vikas.

=== Priorities ===
* Implement Mao's Algorithm
* Implement our customer only heuristic
* Get familiar with Nitin's peer matching simulation
* Collect real IP addresses from Bit - Torrent networks for evaluation
* Quantify AS dynamics
* Validate valley-free rule
* more efficient peer matching algorithm
* Better shortest path algorithm

== Week 1: May 26 ==

* Rewriting the code for computing distance matrices between any pair of ASes based on Mao's Algorithm

== Week 2 : Jun 2 ==
* Completed implementation of Mao's Algorithm
* Completed implementation of customer only heuristic and verified that output of both implementations are the same
* Starting peer matching simulation using Nitin's simulator

== Week 3: Jun 9 ==
* Completed AS Dynamics
* Working on Nitin's Simulator

=== 13th June's Meeting Minutes ===
* We want to compute AS Dynamics for only core ASes ( excluding customer only ASes)
* Implement the simulator for ISP friendly matching
* We also want to support the longest IP-prefix matching if receiver and sender are in the same AS
* In addition to AS hop distance, also use IP hop distance to evaluate our ISP friendly matching. (Consider a couple of ISPs' graph at Rocketfuel project)

== Week 4 + 5 Jun 15 ==
* Completed AS Dynamics for core ASes( excluding customer only ASes ), for only providers ASes and also for others ASes( excluding only provider and only-customer ASes ).
* Implemented simulator for Random Matching, Network Order Matching and ISP Friendly Matching.
* Got the result for different population and different percentage popularity. We used real IPs for simulation of actual bit-torrent users.

=== 26th June's Meeting Minutes ===
* Fixing the bugs in simulator and ISP-algorithm
* Implementation of AS distance-cum IP prefix Matching Algorithm
* Get the real IP list from CBC
* How can we improve AS-graph given by CAIDA as suggested in Sigmetrics paper.

== Week 6 Jun 30 ==
* Fixed the bugs in the simulator
* Implemented AS-cum-IP-PrefixMatching Algorithm
* Implemented code for checking IP distribution among ASes
* Simulated all the four algorithms on last 12 weeks AS maps by CAIDA and IPs list from nit torrent

Private:vikas kumar

2008-07-04T00:51:03Z

Vikas:

Work Progress for Vikas.

=== Priorities ===
* Implement Mao's Algorithm
* Implement our customer only heuristic
* Get familiar with Nitin's peer matching simulation
* Collect real IP addresses from Bit - Torrent networks for evaluation
* Quantify AS dynamics
* Validate valley-free rule
* more efficient peer matching algorithm
* Better shortest path algorithm

== Week 1: May 26 ==

* Rewriting the code for computing distance matrices between any pair of ASes based on Mao's Algorithm

== Week 2 : Jun 2 ==
* Completed implementation of Mao's Algorithm
* Completed implementation of customer only heuristic and verified that output of both implementations are the same
* Starting peer matching simulation using Nitin's simulator

== Week 3: Jun 9 ==
* Completed AS Dynamics
* Working on Nitin's Simulator

=== 13th June's Meeting Minutes ===
* We want to compute AS Dynamics for only core ASes ( excluding customer only ASes)
* Implement the simulator for ISP friendly matching
* We also want to support the longest IP-prefix matching if receiver and sender are in the same AS
* In addition to AS hop distance, also use IP hop distance to evaluate our ISP friendly matching. (Consider a couple of ISPs' graph at Rocketfuel project)

== Week 4 + 5 Jun 15 ==
* Completed AS Dynamics for core ASes( excluding customer only ASes ), for only providers ASes and also for others ASes( excluding only provider and only-customer ASes ).
* Implemented simulator for Random Matching, Network Order Matching and ISP Friendly Matching.
* Got the result for different population and different percentage popularity. We used real IPs for simulation of actual bit-torrent users.

== Week 6 Jun 30 ==
* Fixed the bugs in the simulator
* Implemented AS-cum-IP-PrefixMatching Algorithm
* Implemented code for checking IP distribution among ASes
* Simulated all the four algorithms on last 12 weeks AS maps by CAIDA and IPs list from nit torrent

Private:vikas kumar

2008-06-26T19:32:02Z

Vikas: Submitted by Vikas on 26th June

Work Progress for Vikas.

=== Priorities ===
* Implement Mao's Algorithm
* Implement our customer only heuristic
* Get familiar with Nitin's peer matching simulation
* Collect real IP addresses from Bit - Torrent networks for evaluation
* Quantify AS dynamics
* Validate valley-free rule
* more efficient peer matching algorithm
* Better shortest path algorithm

== Week 1: May 26 ==

* Rewriting the code for computing distance matrices between any pair of ASes based on Mao's Algorithm

== Week 2 : Jun 2 ==
* Completed implementation of Mao's Algorithm
* Completed implementation of customer only heuristic and verified that output of both implementations are the same
* Starting peer matching simulation using Nitin's simulator

== Week 3: Jun 9 ==
* Completed AS Dynamics
* Working on Nitin's Simulator

=== 13th June's Meeting Minutes ===
* We want to compute AS Dynamics for only core ASes ( excluding customer only ASes)
* Implement the simulator for ISP friendly matching
* We also want to support the longest IP-prefix matching if receiver and sender are in the same AS
* In addition to AS hop distance, also use IP hop distance to evaluate our ISP friendly matching. (Consider a couple of ISPs' graph at Rocketfuel project)

== Week 4 + 5 Jun 15 ==
* Completed AS Dynamics for core ASes( excluding customer only ASes ), for only providers ASes and also for others ASes( excluding only provider and only-customer ASes ).
* Implemented simulator for Random Matching, Network Order Matching and ISP Friendly Matching.
* Got the result for different population and different percentage popularity. We used real IPs for simulation of actual bit-torrent users.

Private:vikas kumar

2008-06-13T22:24:02Z

Vikas:

Private:vikas kumar

2008-06-06T00:32:57Z

Vikas:

Private:vikas kumar

2008-06-06T00:32:12Z

Vikas:

Private:vikas kumar

2008-06-06T00:31:34Z

Vikas:

Private:vikas kumar

2008-06-06T00:30:31Z

Vikas:

Private:vikas kumar

2008-05-30T22:52:55Z

Vikas:

Work Progress for Vikas.

== Week 1: May 26 ==

* Rewriting the code.

=== Priorities ===
* Implement Mao's Algorithm
* Implement our customer only Algorithm
* Get familiar with Nitin's peer matching simulation
* Collect real IP addresses from Bit - Torrent networks for evaluation
* Quantify AS dynamics
* Validate valley-free rule
* more efficient peer matching algorithm
* Better shortest path algorithm

== Week 2 : May 27 on ==

Private:vikas kumar

2008-05-30T22:52:18Z

Vikas:

Work Progress for Vikas.

== Week 1: May 26 ==

* Rewriting the code.

=== Priorities ===
1) Implement Mao's Algorithm
2) Implement our customer only Algorithm
3) Get familiar with Nitin's peer matching simulation
4) Collect real IP addresses from Bit - Torrent networks for evaluation
5) Quantify AS dynamics
6) Validate valley-free rule
7) more efficient peer matching algorithm
8) Better shortest path algorithm

== Week 2 : May 27 on ==