1. Progress Report
07/06
Simon

2. Current Projects
Energy-efficient scheduling on asymmetric multi-core platform.
[CHT] Cloud resource scheduling for online and batch applications.
[VR] Live reality fusion.
Hierarchical resource management system(in a data center).

3. Energy-efficient Scheduling on Asymmetric Multi-core Platform
Minimize the power consumption while provide sufficient resources for throughput guaranteed jobs.
Current status
Submitted to ICPADS’16.
翔昕 is working on the experiments and his thesis.

4. Cloud Resource Scheduling for Online and Batch Applications
Develop a resource management framework for private cloud.
Dynamically adjust the resource allocation in order to meet the SLA of applications.
Current status
佑隆 is working on the experiments and his thesis.
May arrange another meeting with CHT.

5. Relationship between Components

6. Some Issues from the Last Meeting
“Key” resource
Vary from application to application.
Change the scaling rules of applications.
“Black box” vs. “Grey box”
Scale in/out instead of up/down.

7. Live Reality Fusion
Combine live videos from two different locations into one.
“Observation” room + “remote” room.
ex: fuse two seminar rooms for oversea joint meeting; “wall removing” for Interior design.
Cooperate with Dr. Wang’s group.

8. “See Through”
Remote room
Observation Room

9. Two Approaches One-360’-camera (Dr. Wang’s group)
Construct a cuboid model of the remote room.
Compute the projection to the wall according to the position of the observer.
Multiple-camera (our group)
Compute the view of a virtual camera by image interpolation with depth information.

10. Multiple-Camera Approach
Remote room
Observation Room

11. Hierarchical Resource Management System
Motivation
The current designs of resource allocator do not cooperate with the scheduler.
Goal
Design a hierarchical resource management system that integrates the resource allocator and scheduler.
Improve the resource utilization and energy- efficiency of servers in a data center.

12. After Some Surveys
Hierarchical scheduling refers to the methodology that jobs are divided into non-intersect groups before being scheduled.
Each group of job is processed by a set of computing nodes.
Often apply to real-time jobs on multi-core platforms to ensure the schedulability.

13. Crowdsourcing Resource Allocator
Design a game with the same mechanisms as a resource allocator in a data center.
Collect the traces with high scores and analyze these traces.
Big data, machine learning, deep learning …
Design new allocation methods.
Will learn how to program with Unity.

14. Discussion