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An Quantum Brain Storm Optimization for
Fog Computing in 5G
By
Qiong Wu*, Tong Xu*,Jun S. Huang**
*Suqian College, Jiangsu University,399 South Huanghe Rd, Suqian, Jiangsu,China
**Southern University of Science and Technology,No 1088,Xueyuan Rd, Xili, Nanshan
District,Shenzhen,Guangdong,China
5th Annual 2017 International Conference on Mechanics and Mechatronics
December 15-17, 2017, Xiamen, China
About the Authors
๏‚งQiong Wu, Associate Professor
๏‚งTong Xu, Jiangsu
๏‚ง Jun Steed Huang, Principal Engineer
Outlineๆฆ‚่ฆ
๏‚ง Quantum Effect
๏‚ง The Spooky Secret
๏‚ง Superluminal Phenomenon
๏‚ง Brain Storm Optimization
๏‚ง Swarm Intelligence Algorithms
๏‚ง Tribe and Ethnic Clusters
๏‚ง Fog Computing in 5G
๏‚ง Distributed or Centralized
๏‚ง Moving or Stationary
๏‚ง Summary
Quantum Effect
Your never know
International Conference on Social Science [ICSS2014]
The Spooky Secret:
Superluminal
phenomenon totally
violates the special
theory of relativity,
which says nothingโ€™s
speed exceeds light
speed.
Further more, as of
today, no one knows
whatโ€™s behind the
strange phenomenon.
2 2
Superluminal Phenomenon
โ€”Space time are naturally broken
Experiment 1 (higher latitude on mountain): In 2008,
Geneva researchers found that the quantum
entanglement is much faster than 10,000 times of
speed of light.
Experiment 2 (lower latitude at sea level): In 2013,
Qingdao scientists concluded that, it is 9931 times
around the speed of light.
โˆต E = m c (3+1)/2= m g e/2
โˆฉ e = 2.71828182846 c = 299792458 m / s
โˆด g/c = 9930.509917796768180071686850124
Hendrik Anton Lorentz & George Francis FitzGerald โ€ฆ
2D is the essential world: going out the wormhole
2D is the essential home : coming back the same way
Phoenix
Qubit states
You knew what you want
Brain Storm
Optimization
International Conference on Social Science [ICSS2014]
Most swarm intelligence
algorithms are inspired by
simple self-designed synergy,
Particle Swarm Optimization
is inspired by synergistic
effect by birds,
Ant Colony algorithm is
inspired by synergistic effect
by ants and
Fire Flies optimization
algorithm is inspired by
synergistic effect by fire flies,
Brain Storm Optimization
algorithms inspired by
synergistic effect by us - the
most intelligent creature!
PSO
International Conference on Social Science [ICSS2014]
In the BSO algorithm, the
solutions are clustered into
several categories, and the
new solutions are generated
by the mutation of cluster or
existing solutions.
The BSO algorithm can be
seen as a combination of
swarm intelligence and data
mining techniques.
Every individual in the brain
storm optimization algorithm
is not only a solution to the
problem to be optimized, but
also a data point to reveal the
landscapes of the problem.
BSO
What is the ethnic clustering?
It means that, in a city, one area will be
predominately asian,
one area will be primarily black,
one area will be predominately white, etc
Observation: If an area's economy is growing,
existing communities draw immigrants; if it isn't,
then the population doesn't change.
Conclusion: To evolve a solution, the cluster
must be changed persistently.
26 Swarm Optimizations
ASO: Ants colony
BSO: Brain storming
CSO: Chicken rooster
DSO: Duck friendly
ESO: Eel gender
FSO: Firefly flashing
GSO: Gorilla troops
HSO: Honey bee
ISO: Impala bachelor
JSO: Jackal pairs
KSO: Kangaroo mobs
LSO: Little brown bat
MSO: Monkey tribe
26 Swarm Optimizations
NSO: Nile crocodile
OSO: Otter play
PSO: Particle swarm
QSO: Quail flock
RSO: Rat invasion
SSO: Swan wedge
TSO: Timber wolf
USO: Urial herd
VSO: Vulture kettle
WSO: Whale travel
XSO: Xerus watch
YSO: Yak herd
ZSO: Zebra run
Start
Generate n solutions
Cluster into m clusters
Evaluate n indivduals
Rank and record individuals
Replace cluster center
Generate new individuals
No
Generate n solutions
Cluster into m clusters
Evaluate n indivduals
Rank and record individuals
Replace cluster center
Generate new individuals
Generate new individuals๏ผŸ
NO
No
Reach max iteration๏ผŸ
Left spin Right spin
Left to right crossRight to left cross
Qubit Weighted Status
NO
Yes
Yes
Round qeneration
Reach max round๏ผŸ
End
NO
Yes
Qubit-BSO
้‡ๅญๆฏ”็‰นๅŒ–็š„BSO
warmholes
positive negative
Fitness
ฮฒ ฮฑ
|0> |1>
Fog Computing in 5G
You may not get what you want
Distributed or Centralized
Cloud Computing is too slow, as
the server farm is too far from
you.
Edge Computing is too small, as
the server has limited items in
there.
Fog Computing is neither slow,
nor small
Moving or Stationary
Mobile Cloud Computing is too
slow, as the wireless pipe is not
solid.
Mobile Edge Computing is not
fast, as there are many users.
Fog Computing in 5G is fast, and
rocket solid.
Trace down pesticides
SUMMARY
Fog is not Given, but Made! So is the5G!!
Quantum brains sat in both local
minimum clusters at the same time
BSO-0 fitness is BSO-1 probability
BSO-1 fitness is BSO-0 probability
The fitness is given by (โˆ‘x1.5 )1/1.5
M*S1*S2 = E*T1*T2
T2
T1
M*S1*S2 = E*T1*T2
T2
T1
Portable pesticide detection uploading downloading fog
Only after your smart phone
APP randomly accessed one
of the servers through
randomly selected fog nodes
based on randomly sampled
food from the randomly
picked up boxes, will you
know, for sure, if the food
contains poison pesticide or
not?
Thank you!
Questions?

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Quantum Brain Storm Optimization

  • 1. An Quantum Brain Storm Optimization for Fog Computing in 5G By Qiong Wu*, Tong Xu*,Jun S. Huang** *Suqian College, Jiangsu University,399 South Huanghe Rd, Suqian, Jiangsu,China **Southern University of Science and Technology,No 1088,Xueyuan Rd, Xili, Nanshan District,Shenzhen,Guangdong,China 5th Annual 2017 International Conference on Mechanics and Mechatronics December 15-17, 2017, Xiamen, China
  • 2. About the Authors ๏‚งQiong Wu, Associate Professor ๏‚งTong Xu, Jiangsu ๏‚ง Jun Steed Huang, Principal Engineer
  • 3. Outlineๆฆ‚่ฆ ๏‚ง Quantum Effect ๏‚ง The Spooky Secret ๏‚ง Superluminal Phenomenon ๏‚ง Brain Storm Optimization ๏‚ง Swarm Intelligence Algorithms ๏‚ง Tribe and Ethnic Clusters ๏‚ง Fog Computing in 5G ๏‚ง Distributed or Centralized ๏‚ง Moving or Stationary ๏‚ง Summary
  • 5. International Conference on Social Science [ICSS2014] The Spooky Secret: Superluminal phenomenon totally violates the special theory of relativity, which says nothingโ€™s speed exceeds light speed. Further more, as of today, no one knows whatโ€™s behind the strange phenomenon. 2 2
  • 6. Superluminal Phenomenon โ€”Space time are naturally broken Experiment 1 (higher latitude on mountain): In 2008, Geneva researchers found that the quantum entanglement is much faster than 10,000 times of speed of light. Experiment 2 (lower latitude at sea level): In 2013, Qingdao scientists concluded that, it is 9931 times around the speed of light. โˆต E = m c (3+1)/2= m g e/2 โˆฉ e = 2.71828182846 c = 299792458 m / s โˆด g/c = 9930.509917796768180071686850124
  • 7. Hendrik Anton Lorentz & George Francis FitzGerald โ€ฆ
  • 8. 2D is the essential world: going out the wormhole
  • 9. 2D is the essential home : coming back the same way Phoenix
  • 11. You knew what you want Brain Storm Optimization
  • 12. International Conference on Social Science [ICSS2014] Most swarm intelligence algorithms are inspired by simple self-designed synergy, Particle Swarm Optimization is inspired by synergistic effect by birds, Ant Colony algorithm is inspired by synergistic effect by ants and Fire Flies optimization algorithm is inspired by synergistic effect by fire flies, Brain Storm Optimization algorithms inspired by synergistic effect by us - the most intelligent creature! PSO
  • 13. International Conference on Social Science [ICSS2014] In the BSO algorithm, the solutions are clustered into several categories, and the new solutions are generated by the mutation of cluster or existing solutions. The BSO algorithm can be seen as a combination of swarm intelligence and data mining techniques. Every individual in the brain storm optimization algorithm is not only a solution to the problem to be optimized, but also a data point to reveal the landscapes of the problem. BSO
  • 14. What is the ethnic clustering? It means that, in a city, one area will be predominately asian, one area will be primarily black, one area will be predominately white, etc Observation: If an area's economy is growing, existing communities draw immigrants; if it isn't, then the population doesn't change. Conclusion: To evolve a solution, the cluster must be changed persistently.
  • 15. 26 Swarm Optimizations ASO: Ants colony BSO: Brain storming CSO: Chicken rooster DSO: Duck friendly ESO: Eel gender FSO: Firefly flashing GSO: Gorilla troops HSO: Honey bee ISO: Impala bachelor JSO: Jackal pairs KSO: Kangaroo mobs LSO: Little brown bat MSO: Monkey tribe
  • 16. 26 Swarm Optimizations NSO: Nile crocodile OSO: Otter play PSO: Particle swarm QSO: Quail flock RSO: Rat invasion SSO: Swan wedge TSO: Timber wolf USO: Urial herd VSO: Vulture kettle WSO: Whale travel XSO: Xerus watch YSO: Yak herd ZSO: Zebra run
  • 17. Start Generate n solutions Cluster into m clusters Evaluate n indivduals Rank and record individuals Replace cluster center Generate new individuals No Generate n solutions Cluster into m clusters Evaluate n indivduals Rank and record individuals Replace cluster center Generate new individuals Generate new individuals๏ผŸ NO No Reach max iteration๏ผŸ Left spin Right spin Left to right crossRight to left cross Qubit Weighted Status NO Yes Yes Round qeneration Reach max round๏ผŸ End NO Yes Qubit-BSO ้‡ๅญๆฏ”็‰นๅŒ–็š„BSO warmholes positive negative Fitness ฮฒ ฮฑ |0> |1>
  • 18. Fog Computing in 5G You may not get what you want
  • 19. Distributed or Centralized Cloud Computing is too slow, as the server farm is too far from you. Edge Computing is too small, as the server has limited items in there. Fog Computing is neither slow, nor small
  • 20. Moving or Stationary Mobile Cloud Computing is too slow, as the wireless pipe is not solid. Mobile Edge Computing is not fast, as there are many users. Fog Computing in 5G is fast, and rocket solid.
  • 22. SUMMARY Fog is not Given, but Made! So is the5G!!
  • 23. Quantum brains sat in both local minimum clusters at the same time BSO-0 fitness is BSO-1 probability BSO-1 fitness is BSO-0 probability The fitness is given by (โˆ‘x1.5 )1/1.5 M*S1*S2 = E*T1*T2 T2 T1
  • 24. M*S1*S2 = E*T1*T2 T2 T1 Portable pesticide detection uploading downloading fog
  • 25. Only after your smart phone APP randomly accessed one of the servers through randomly selected fog nodes based on randomly sampled food from the randomly picked up boxes, will you know, for sure, if the food contains poison pesticide or not?
  • 26.