Now, we can simulate

8×8 grid network static:

I believe the simulator can show 10×10 grid network.

* We can see in the picture that there are two users in node 0 and node 5.

Agents are divided to two groups to follow each user.

Agent Migration Policy:

value1 = getNodeRequestRateRatio(nodeId);
value2 = getNodePopulationDensityRatio(nodeId);
value3 = getWandering();

if ((maxScore > migrationThreshold ) && (this.energyLevel_>2000) ) return maxScoreNodeId; else return -1;

Task:

1] Change migrati0n policy to use healthy level instead of agent population
2] Number hops count between platform and user

:presented Marketnet approach to find equilibrium point. ppt

:the result from the simulation. ppt

HAPPY BIRTH DAY FOR MY PLATFORM and AGENT.

THEY ARE BREATHING TODAY.

Below is the simulator log:

Date 6/15/05
Agent: Energy Exchange Algorithm
0) Energy Algorithm class is implemented for Agent
1) Agent is implemented Energy Algorithm (as object).
It keeps record of intake energy from doSevice behavior.
2) Agent pay energy (check and pay) in preDecision behavior

Platform: Energy Exchange Algorithm
0) Platform has EnergyExchangePF class
1) It keeps record of intake agent when the agent give energy to platfrom
2) It pays energy in preDecision behavior
3) doEvaporate behavior check the healthy level for platform

Date 6/1/05
Energy Exchage Algorithm
Infomation
1) mainSimFrame Cycle_num is the main number in cylcle
we cannot use this number for keeping the time

Date 2/9/05
Plan Next:
1) CE give energy to Platform
2) CE
Show the result after platform as biological entities:

Date 2/7/05
Healthy level completed
– platform use 10 unit of each HL
– Agent use 1 unit of each HL
– Platform will check the number of CE when it respiration and update

Date 2/5/05
Done:
Platform work on host use 10 healthy level each
Agent work on host use 1 healthy level each
This algorithm is added in BionetPlatform.java
* BionetPlatform — control platform number, CE number .. . .
Platform <– BehavPlatform control platform as biological entities
Effect the replicationThreshold of Platform control the number of platform
2 the healthyLevel of platform are negative
3 Agent did not give any energy to platform when it work on
4 agent did not pay healthylevel back to platform when it maigrated

Date 2/4/05
Added Node file field CPU MEM NETWORK
Changed FileParser to read the CPU,MEM,NETOWRK field from node file
Added constructor to node( ) class
Added BionetPlatform in setPF to init all HL
setPF set Healthylevel of platform =node minus 10 for platform cost
Added Platform set HL
Changed GUI control panel to show HL
ControlPanel was changed to check Platform enable
2/5/05 Platform has Healthy level

Date 1/30/05
Added Gui Platform as Biological Entities
control panel
and change in simulator

Date 01/24/2005
GUI
COLOR
requestNum ==0
Node Provide Service > 0 : Blue (CE in Service)
CeNum=0, : white (No CE)
CeNum>0 and provide service =0 : Yellow (CE Idle)
REquestNum>0 : Red
if node has last request >0 red circle
platform green
16:25:08, Improve some platform gui

Date 1/23/05
To show the result of Platforms
+ Changed About Dialoge
+ Added PlatformPanel by copying ResultPanel
+ Changed CE to PF

+ Added parseOutputPFFile in FileParser.java
+ Added ResultPF.java to keep the tempplate of Platform

+ Added creating pf.xls in OuputDatamanger.java

+ Changed OutputData in Platform to add information to the file

+ Added code in endsimulation in BionetPlatform

These are the files I have about the symbiotic network

Summary Slides (85 pages)
– Symbiotic Architecture for Adaptive Network PPT

Drafted Slides (for 15 minutes talk)
– visitor(Prof) present

Poster
– Alumni Party (Big Poster in PPT)

Basic Idea about forecast and represent data
PPT file 2 types of Moving Average Algorithm
– SMA
– EWMA (+ why it is exponential0 )

???????
– ??????????????

I have nothing to present about my research progress today.
The agents and platforms have not taken the first breath yet.
It is very late and far behind from my schedule.
Everything will be finished by this weekend.
I will work harder and harder. Please Wait.

Today Meeting:
CN presented about the self-assembly and related work.
He was killed again.

My turn, I presented EWMA why it is exponential. And also,
the marketnet from columbia university.
Nearly be dead, but I was not.

The proposal idea, the good idea was poped up.
We can implement bio-net to animal observer system.
The agent works as cache.
The goals are network traffic and database space reduction.
The local of agents has been proposed.

We used Chiangmai Elephant as a case study.

Task:
1) My CV due this night
2) REview Paper x3 due Tomorrow
3) Paper due June 20
4) Simulation Result due this weekend
5) Prepare for Next Meeting this Friday

**** Our Stuffs ****

There are 8 monitors in our lab space
( 19″ (Paskorn’s) ,+ new 19″, + 15″x6)

There are three PCs (Paskorn’s 3.0 HyperThread 1GRam, Linux Server, and Chonho’s PC)

The new PC is comming for Madhu.

1 samsung laser printer

1 wireless D-link router (G)

1 4 port linksys switch

1 4 port 10M HUB (the old one).

1 Refrigerator

1 Microwave

The stuffs’ manuals are in the Chonho’s drawer.

************************************

Meeting: Research Progress::

Now, we have 2 meetings a week:

Chonho presented about self-assembly and origami langauge.
He will present more related works this Friday.

Paskorn presented about market net for sensor network (Done).
He will present related work in market net and his research progress.

Paskorn is working on Energy Exchange Algorithm. The GridNets paper is dued this June 15th.

Task:

For grant proposal: How to apply bio-net? (Due Friday)
Review 4 papers (Due Friday)

Something that I should write it down before I couldn’t remember.

1) I read MALLET paper for review.
The mallet is Multi – Agent Logic Language for Encoding Teamwork. The authors are attempting to create the new langauge to implement program agent as a team set.

For instance, in the fire fighter team, there are many agents in diferent function but they have the same global goal. This problem can be implemented by MALLET.

The syntax and semantics are hard to understand for me, cause , again, I am not a guy who is good in math. 🙂

The point is what happens if we implement agent and platform in my model follow this concept.

My model there are agent to serve the user and platform to find the better host to be installed. Both of them have the same finally goal, survival. To let them survive, agents have to serve the user. We can imaging the serving request from user as a web page request and each agent contains web page. When the agent get the request it get the energy (assume set value). Energy drive them to living and behave. Agent and platform live together as in symbiotic concept.

Come back to the point, what happens if we implement mallet. Yes, it should be a great idea. Now I create all symbiotic behaviors up(hard coding). But, MALLET can invoke these behaviors automatically. The new language to describe the mechanism of network adaptation should be a good topic for doing research.

Yes, I have to study more how to implement this concept in my model.

2) Another thing, I just presented poster about the symbiotic network in computer science UMB last Thu.

Next step, we are going to Orlando, Florida in this July to present this small idea.

The world, see you there.

Long time, I’ve not updated this blog because there was no surprising progress and I was very busy.

This semester is going to kill me. Studying Compiler and OOD together is so real hard. For me, I loss my way in the wrong track which I miss-chosed.

However, the symbiotic networking has some progress. Since last update, I came back to basic questions: how a life survives in the real environment, how energy relate to the living.

Of course, I read many biology papers, which I don’t like them much since I was in high school age. I learnt how the salmon-fish use energy for reproduction, how animals transfer the food to energy and make them still living :(metabolism). I knem that there are some theory in biology as 10% rule: energy transfer, in food chain, in each level only 10% that it takes.(Pyramid of Energy)

First I attempted to apply hibernate algorithm, but I couldn’t. We don’t know the user predicted request period, of course we couldnot forecast it either. Some theories came up! morkov chain, queing theory but again I am a guy who is not good at mathematics.

Finally, the easy basic idea was poped up in my head. Just find the average, maximum and minimum of interval time (we have to change frequency domain to time domain). And then let agent, as biological entity, losses its energy based on these values as respiration rate.

The result showed surprisingly.

Sure, now, I have to implement this concept to the bio-net simulator.

Do you know what: this is far from the symbitic behavior. Now they, living agents, just start breathing.

Anyhow, So far so good.

Happy Chinese New Year Day!

Simulator:

SymbioticSphere

Now, the platform is alive. It can replicate, dead, and maintain healthy level.

The node (or host) in the network also have resource availability — (CPU,MEM,Bandwidth)

They, platforms and agents, live together in the SymbioticSphere as the living

entities that require each other to survive.

Next Step:

I will implement symbiotic behaviors.

Of course, we have to find to evaluate the simulator somehow:

Related Work:

We are studying cell cpu.

Done:

+ update drafted paper

The paper has been revised in section 1-4.

– The symbiotic behavior names have been changed (fig 3,4)

– Healthy level table has been added in the platform attributes section

– I rewrite the section 4: symbiotic network.

– I also added the related work section in the drafted paper (section 6)

* The simulation part need to be added soon. I am waiting for simulator

programming.