Presentation slides of paper "Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing" prepared for the f

1. Anjana H.L.W.
[anjanalunuvila@gmail.com]
Key words: Mobile Cloud computing, Green Computing, Dynamic
Program, Energy-aware, Cloudlets

2. Authors
 Keke Gai
 Meikang Qiu
 Hui Zhao
 Lixin Tao
 Ziliang Zong

3. Outline
 Introduction
 Proposed solution
 DECM algorithm
 Experiments and results
 Conclusion

4. Mobile cloud computing
Cloudlet
Why energy-aware?
Previous researches

5. Mobile cloud computing
 Mobile computing
 Mobile internet
 Cloud computing

6. Cloudlet
 Mobility-enhanced small-scale cloud datacenter that is
located at the edge of the Internet.

7. Why energy-aware ?
 Energy over consumptions
 Wireless communications are weak
 Keeping searching wireless signals can dry out the
power of mobile devices, which may cause unexpected
energy waste
 Green computing : minimize energy waste

8. Previous researches
 Energy aware scheduling by Zhu and his team
 Cloudlet for efficient data allocation
 Improvement of cloud service quality from
architectural to operating levels
 Admission control policy
 Not consider about mobility

9. Dynamic energy-aware cloudlet-based mobile cloud computing
model (DEMC)
Dynamic cloudlet (DCL)
DEMC operation

10. Dynamic energy-aware cloudlet-
based mobile cloud computing
model (DEMC)
 Green computing
 Assign, manage and optimize the cloud-based
infrastructure usage and services
 Dynamic programming to assist cloudlets

11. Dynamic Cloudlet
 Three missions
 Leveraging dynamic programming to determine and
predict physical machines on the cloud for current and
future use.
 Calculations of simple applications and quickly respond
to end- users.
 Predict whether users should switch to other cloudlets
and enable a real-time suggestion for cloudlets
switching.

12. DEMC operation
 Searching the nearest CDLs
 Do calculations and predict other potential cloudlet
services according to the service contents
 Search the cloud servers for better service

13. Definition
Recursive formulation

14. Definition
 Energy cost minimization (EMC)
 Total energy consumption - CTotal(T,x)
 Ei(t,x) : energy consumption among mobile users, cloudlets,
and cloud servers specifically occurred on one route
 Pi(t,x) : performance level localized on one route x
 Target for green computing
Minimize CTotal(T,x)

15.  Dynamic switching between cloudlets that can have
better service offerings
 Minimum energy consumption with quality services
can derive from the recursive formulation.
 Performance of each cloudlet is symbolized by
CostCDL
Recursive formulation

16.  EnergyCloudlet(CDLi,t(Mn)), represents the total
energy costs with the service performance at each
cloudlet
 Total cost function is f(Pi(t,x), Ei(t,x))
 Energy cost that occurred while switching cloudlets is
small
Recursive formulation

17. Simulation
Two method routs
Four method routs

18. Simulation
 Work has been examined on the simulator named
DECM-Sim that is developed by authors
 The simulator is designed to calculate input data and
generate the results with using the dynamic
programming
 The minimum latency time for each route is defined as
a full level performance that is marked as 1.0
 Smart phones with Android 4.4.2 and up operating
system, which support at least 300 Mbps max speed
 HTC One (M8), Samsung Galaxy Note 3, and Samsung
Galaxy Note 4.

19. Two method routs(M1 & M2)
 Energy consumptions and performances between
different cloudlet-based modules.

20. Two method routs cont..
 Minimum total costs with computed performance
capacities under various timing constraints for a
DECM.

21. Two method routs cont..
 The result of DECM approach focusing on energy-
aware performance
 X – time constraint
 Y – energy/power

22. Two method routs cont..
 Four scenarios defined by the varied timing constraints

23. Four method routs(M1,M2,M3 & M4)
 Energy consumptions and performances

24. Four method routs cont..
 Minimum total costs under various timing constraints

25. Four method routs cont..
 Energy consumptions for different routes with full
service performances at four timing constraints

26. Four method routs cont..
 Energy consumptions for different routes with full
service performances at four timing constraints

27. Four method routs cont..
 Energy consumptions for different routes with full
service performances at four timing constraints

28. Contribution
Future research

29. Contributions
 This research is the first attempt on the functionality
of cloudlets in order to achieve energy-aware
performances in the dynamic networking environment
 The experimental results proved that this approach
was an effective mechanism that could enable mobile
users to address green IT with in a dynamic
complicated wireless environment.

30. Future research
 DECM applications in industrial environment
 Build up structured connections among CDLs to
strengthen communications between cloud servers
and mobile devices

31. Thank you!