Resumen
The recent developments in data center topologies offer high bandwidth capacity and multiple paths between processing nodes. The increased use of cloud computing applications imposes challenges on underlying network infrastructure. To meet these challenges we need efficient traffic management that can maximize the utilization of multi-path data center networks. Path diversity not only provides the opportunity of performing load balancing and improve fault tolerance, but also can be exploited to allocate more bandwidth for large flows and improve the performance of network-limited applications. In this paper, we present an architecture based on Multipath TCP (MPTCP) and Software Defined Networking (SDN) to provide better bandwidth allocation for large flows. The SDN controller, which has global knowledge of network topology and traffic measurements, is capable of making educated routing decisions. The proposed SDN architecture enables applications to achieve better throughput for large flows by initiating new MPTCP subflows. To provide this capability, we modify the Linux kernel MPTCP implementation to enable applications to create additional MPTCP subflows on-demand. These MPTCP subflows are placed on least-congested paths by the centralized controller. The evaluation results obtained from running experiments on the GENI testbed environment show a significant improvement in the throughput of large flows.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | Proceedings - 5th IEEE International Conference on Cyber Security and Cloud Computing and 4th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud/EdgeCom 2018 |
| Editores | Meikang Qiu |
| Páginas | 111-116 |
| Número de páginas | 6 |
| DOI | |
| Estado | Published - jul 27 2018 |
| Evento | 5th IEEE International Conference on Cyber Security and Cloud Computing and 4th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud/EdgeCom 2018 - Shanghai, China Duración: jun 22 2018 → jun 24 2018 |
Serie de la publicación
| Nombre | Proceedings - 5th IEEE International Conference on Cyber Security and Cloud Computing and 4th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud/EdgeCom 2018 |
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Conference
| Conference | 5th IEEE International Conference on Cyber Security and Cloud Computing and 4th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud/EdgeCom 2018 |
|---|---|
| País/Territorio | China |
| Ciudad | Shanghai |
| Período | 6/22/18 → 6/24/18 |
Nota bibliográfica
Publisher Copyright:© 2018 IEEE.
Financiación
The information, data, or work presented herein was funded in part by the U.S. Department of Energy, Energy Efficiency and Renewable Energy Program, under University of Central Florida Award Number DE-EE0006340. This research work was supported in part by a grant from the Kentucky Science and Engineering Foundation as per Grant Agreement #KSEF-148-502-16-394 with the Kentucky Science and Technology Corporation. The first author is sponsored by King Abdulaziz City for Science and Technology.
| Financiadores | Número del financiador |
|---|---|
| Kentucky Science and Technology Corporation | |
| Michigan State University-U.S. Department of Energy (MSU-DOE) Plant Research Laboratory | |
| University of Central Florida | DE-EE0006340 |
| Kentucky Science and Engineering Foundation | -148-502-16-394 |
| King Abdulaziz City for Science and Technology |
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Safety, Risk, Reliability and Quality