Difference between revisions of "GSOC2019DCN"
From Nsnam
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* '''Mentors:''' [mailto:dizhizhou@hotmail.com Dizhi Zhou], [mailto:tahiliani.nitk@gmail.com Mohit P. Tahiliani] | * '''Mentors:''' [mailto:dizhizhou@hotmail.com Dizhi Zhou], [mailto:tahiliani.nitk@gmail.com Mohit P. Tahiliani] | ||
| − | * '''Abstract:''' This project aims to make NS-3 more friendly to researchers working on the contemporary research topic in Data Center Networks (DCN) to use NS-3 as an effective simulation tool to evaluate their ideas. The theme of the project is to augment NS-3 with further support of Data Center Network (DCN) related simulation and research, with a special focus in implementing useful modules in NS-3 ecosystem including Multi | + | * '''Abstract:''' This project aims to make NS-3 more friendly to researchers working on the contemporary research topic in Data Center Networks (DCN) to use NS-3 as an effective simulation tool to evaluate their ideas. The theme of the project is to augment NS-3 with further support of Data Center Network (DCN) related simulation and research, with a special focus in the flow-based performance optimization, e.g., implementing useful modules in NS-3 ecosystem including Multi Level Feedback Queue scheduling, spine-leaf topology helper, flow statistics analysis helper and so forth. |
* '''About Me:''' I will soon join the University of Pennsylvania as a first-year Ph.D. student focusing on Computer Systems and Networking. I obtained my master degree in Wireless Systems at KTH Royal Institute of Technology, Sweden and Bachelor of Engineering in Automatic Control at Zhejiang University, China. | * '''About Me:''' I will soon join the University of Pennsylvania as a first-year Ph.D. student focusing on Computer Systems and Networking. I obtained my master degree in Wireless Systems at KTH Royal Institute of Technology, Sweden and Bachelor of Engineering in Automatic Control at Zhejiang University, China. | ||
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===Phase 1=== | ===Phase 1=== | ||
| − | * | + | * Implementation of Multi-Level Feedback Queue scheduling. |
| − | * | + | * Implementation of Shorted Job First based scheduling. |
| − | + | * Implementation of the tagging of the metadata of the (remaining) flow size in the packet with corresponding application or helpers. | |
| − | + | ||
===Phase 2=== | ===Phase 2=== | ||
| − | * | + | * Implementation of the spine-leaf DCN topology helper and NetAnim support. |
| − | + | * Implementation of flow synthesizer and flow statistics analysis helper. | |
| − | + | * Provide examples of using representative traffic distribution in DCN for DCN simulation. | |
| − | + | ||
| − | + | ||
| − | + | ||
===Phase 3=== | ===Phase 3=== | ||
* Provide example program for data center networking simulation in NS-3 reproducing the classical work in the domain, e.g., [https://web.stanford.edu/~skatti/pubs/sigcomm13-pfabric.pdf pFabric]. | * Provide example program for data center networking simulation in NS-3 reproducing the classical work in the domain, e.g., [https://web.stanford.edu/~skatti/pubs/sigcomm13-pfabric.pdf pFabric]. | ||
| − | * | + | * Buffer time for other prioritized targets for supporting DCN research in NS-3, e.g., the load balancing algorithms, TCP incast simulation in DCN. |
| − | + | ||
= Weekly Reports = | = Weekly Reports = | ||
Revision as of 10:17, 14 May 2019
Contents
GSOC2019DCN
Main Page - Current Development - Developer FAQ - Tools - Related Projects - Project Ideas - Summer Projects
Installation - Troubleshooting - User FAQ - HOWTOs - Samples - Models - Education - Contributed Code - Papers
Return to GSoC 2019 Projects page.
Project Overview
- Project name: Framework of Studying Flow Completion Time Minimization for Data Center Networks
- Student: Liangcheng Yu
- Mentors: Dizhi Zhou, Mohit P. Tahiliani
- Abstract: This project aims to make NS-3 more friendly to researchers working on the contemporary research topic in Data Center Networks (DCN) to use NS-3 as an effective simulation tool to evaluate their ideas. The theme of the project is to augment NS-3 with further support of Data Center Network (DCN) related simulation and research, with a special focus in the flow-based performance optimization, e.g., implementing useful modules in NS-3 ecosystem including Multi Level Feedback Queue scheduling, spine-leaf topology helper, flow statistics analysis helper and so forth.
- About Me: I will soon join the University of Pennsylvania as a first-year Ph.D. student focusing on Computer Systems and Networking. I obtained my master degree in Wireless Systems at KTH Royal Institute of Technology, Sweden and Bachelor of Engineering in Automatic Control at Zhejiang University, China.
- Code: To be included.
Technical Approach
Milestones and Deliverables
The entire GSoC period is divided into 3 phases. The deliverable at the end of each phase is as mentioned below:
Phase 1
- Implementation of Multi-Level Feedback Queue scheduling.
- Implementation of Shorted Job First based scheduling.
- Implementation of the tagging of the metadata of the (remaining) flow size in the packet with corresponding application or helpers.
Phase 2
- Implementation of the spine-leaf DCN topology helper and NetAnim support.
- Implementation of flow synthesizer and flow statistics analysis helper.
- Provide examples of using representative traffic distribution in DCN for DCN simulation.
Phase 3
- Provide example program for data center networking simulation in NS-3 reproducing the classical work in the domain, e.g., pFabric.
- Buffer time for other prioritized targets for supporting DCN research in NS-3, e.g., the load balancing algorithms, TCP incast simulation in DCN.
