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

Qiong Wu, Associate Professor

Tong Xu, Jiangsu

Jun Steed Huang, Principal Engineer

Outline概要 Quantum Effect The Spooky Secret Superluminal Phenomenon

Brain Storm Optimization Swarm Intelligence Algorithms Tribe and Ethnic Clusters

Fog Computing in 5G Distributed or Centralized Moving or Stationary

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 nothing’s speed exceeds light speed.

Further more, as of today, no one knows what’s behind the strange phenomenon.

2 2

Superluminal Phenomenon—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.

∵ E = m c (3+1)/2= m g e/2

∩ e = 2.71828182846 c = 299792458 m / s

∴ g/c = 9930.509917796768180071686850124

Hendrik Anton Lorentz & George Francis FitzGerald …

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？

NO

No

Reach max iteration？

Left spin Right spin

Left to right crossRight to left cross

Qubit Weighted Status

NO

Yes

Yes

Round qeneration

Reach max round？

End

NO

Yes

Qubit-BSO

量子比特化的BSO

warmholes

positive negative

Fitness

β α

|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 probabilityBSO-1 fitness is BSO-0 probability

The fitness is given by (∑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?