1. Progress Report
2015/01/28

2. Project Goal
Study the current scheduling algorithms for homogenous and asymmetric multi-core architecture.
Design and implement the hypervisor scheduler on asymmetric multi-core platform.
Assign virtual cores to physical cores for execution.
Minimize the power consumption with performance guarantee.

3. In the Past Few Weeks…
Build an asymmetry-aware scheduler in Xen on ARM Juno board.
Testing and debugging
Finish a version for ITRI Demo.

4. Current Status The scheduler works fine under ITRI demo scenarios.
Can generate energy-efficient scheduling plan, and assign virtual cores to physical cores for execution according to the plan.
ITRI demo scenario:
Two VMs running light-weight workload.
One VM with medium-weight workload, while the other with heavy workload.

5. Setting Each “master core” is dedicate to one vCPU from Dom0. Dom0
Guest
(DomU)
VCPU
Guest1
(DomU)
VCPU
VCPU
Xen
Asymmetry-aware Scheduler
Cortex-A57
Each “master core” is dedicate to one vCPU from Dom0.
Cortex-A53
Cortex-A53
Cortex-A53
Cortex-A57
Cortex-A53

6. Results - Scenario 1 [Credit-base scheduler]
[Asymmetry-aware scheduler]

7. Results - Scenario 2 [Credit-base scheduler]
[Asymmetry-aware scheduler]

8. Experimental Results Energy (J = W* Sec) Time (Sec) [Case 1] Light
Credit-based
13.104
23.6
7.38/13.104
= 0.563
Asymmetric-aware
7.38
24.6
[Case 2]
Medium + Heavy
36.733
58.8
39.26/36.733
= 1.07
39.26
61.8 8

9. Overhead from Dom0

10. Experimental Results(Ideal)
Energy (J = W* Sec)
Time (Sec)
[Case 1]
Light
Credit-based
13.104
23.6
4.428/13.104
= 0.338
Asymmetric-aware
4.428
24.6
[Case 2]
Medium + Heavy
36.733
58.8
31.844/36.733
= 0.867
31.844
61.8 10

11. Benchmark Score(Iterations/Sec.)
Guest 0
Guest 1
Case 1
Credit-based
2955
Asymmetric-aware
Case 2 11

12. Next Paper submission (Feb. 6th) Reduce Dom0 overhead. Keep debugging.
Complete the scheduling framework
Fetching workload information from guest VM, cooperate with physical core DVFS mechanism ... etc.