GSOC2019DCN

GSOC2019DCN

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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

To update.

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.