Abstract:
Link rate adaptation is an effective means to save energy consumption of network elements by adjusting the link rate according to the carried traffic through a network-le...Show MoreMetadata
Abstract:
Link rate adaptation is an effective means to save energy consumption of network elements by adjusting the link rate according to the carried traffic through a network-level optimization of the flow allocation process. Unfortunately, current adaptation approaches are mainly reactive, in which link speed is changed only when new traffic demand is requested. Once bandwidth has been allocated for a demand, link rate remains constant during the entire session. This approach may result in sub-optimal energy efficiency schemes and requires multiple re-optimizations as traffic flows are fluctuating during the session, hence reducing the overall network performance. In this paper, we propose a multiple-step-ahead method to predictively optimize link rates based on forecasting traffic demand. We formulate the link adaptive energy efficiency as a MIP model and propose a heuristic simulated annealing algorithm to solve it. Our experimental results show our approach provides energy saving while it significantly decreases the number of re-optimizations in the energy-aware routing.
Published in: 2019 IEEE Sustainability through ICT Summit (StICT)
Date of Conference: 18-19 June 2019
Date Added to IEEE Xplore: 08 August 2019
ISBN Information:
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- IEEE Keywords
- Index Terms
- Adaptive Rate ,
- Traffic Prediction ,
- Energy Consumption ,
- Energy Efficiency ,
- Energy Conservation ,
- Network Performance ,
- Simulated Annealing ,
- Traffic Flow ,
- Heuristic Algorithm ,
- Mixed-integer Programming ,
- Mixed-integer Programming Model ,
- Traffic Demand ,
- Objective Function ,
- Transition State ,
- Prediction Error ,
- Power Consumption ,
- Prediction Algorithms ,
- Flow Analysis ,
- Kriging ,
- Network Configuration ,
- Current Solution ,
- Feature Vector Of Length ,
- Routing Algorithm ,
- Link Capacity ,
- Link State ,
- Prediction Horizon ,
- Traffic Forecasting ,
- Transient Fluctuations ,
- Ethernet ,
- Network Devices
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Adaptive Rate ,
- Traffic Prediction ,
- Energy Consumption ,
- Energy Efficiency ,
- Energy Conservation ,
- Network Performance ,
- Simulated Annealing ,
- Traffic Flow ,
- Heuristic Algorithm ,
- Mixed-integer Programming ,
- Mixed-integer Programming Model ,
- Traffic Demand ,
- Objective Function ,
- Transition State ,
- Prediction Error ,
- Power Consumption ,
- Prediction Algorithms ,
- Flow Analysis ,
- Kriging ,
- Network Configuration ,
- Current Solution ,
- Feature Vector Of Length ,
- Routing Algorithm ,
- Link Capacity ,
- Link State ,
- Prediction Horizon ,
- Traffic Forecasting ,
- Transient Fluctuations ,
- Ethernet ,
- Network Devices
- Author Keywords