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Published on: February 6, 2014
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Performance evaluation of time-aware enhanced software defined networking (TeSDN) for elastic data center optical
Optics Express
|August 5, 2014
Summary
This study introduces a time-aware enhanced software defined networking (TeSDN) architecture for elastic optical networks. It optimizes data center service scheduling considering time sensitivity, improving Quality of Service (QoS).
Area of Science:
- Optical networking
- Data center interconnection
- Software-defined networking
Background:
- Elastic optical networks (EONs) are crucial for high-bandwidth data center services.
- Previous work established enhanced software-defined networking (SDN) for EONs in data centers.
- Current limitations include managing time-sensitive services and optimizing resources across application and network layers.
Purpose of the Study:
- To propose a novel time-aware enhanced software-defined networking (TeSDN) architecture.
- To introduce a time-aware resource scheduling (TaRS) scheme for elastic data center optical interconnection.
- To enhance cross-stratum optimization considering spectrum, application, and time elasticity for Quality of Service (QoS).
Main Methods:
- Development of the TeSDN architecture incorporating the TaRS scheme.
- Experimental verification of feasibility and efficiency on an OpenFlow-based testbed.
- Quantitative performance evaluation of the TaRS scheme under heavy traffic load.
Main Results:
- The TeSDN architecture successfully accommodates data center services with required QoS, considering time dimensionality.
- Cross-stratum optimization is enhanced by leveraging spectrum, application, and time elasticity.
- Experimental results validate the feasibility and efficiency of the proposed TeSDN architecture.
Conclusions:
- The proposed TeSDN architecture with the TaRS scheme effectively addresses time-aware service scheduling in elastic optical networks.
- The architecture enhances resource utilization and QoS for data center interconnections.
- The study demonstrates significant improvements in managing time-sensitive, high-bandwidth data center services.
