Impact of buffer sizing on energy efficiency and performance. Issue 1 (1st January 2015)

• Record Type: Journal Article
• Authors: Ai, Tingting; Wijeratne, Vindya; Wahid, Amna Abdul
• Is Part Of: IET networks. Volume 4:Issue 1(2015)
• Page Start: 1
• Page End: 9
• Publication Date: 2015-01-01
• Subjects: Internet -- packet switching -- queueing theory -- telecommunication network routing; buffer sizing -- energy efficiency -- Internet router buffers -- link utilisation -- packet queues -- network performance -- bufferbloat -- buffer related energy consumption -- multiplexed on‐off traffic -- FTP traffic -- small buffer model -- always on server -- performance metrics -- realistic networks -- quality of service; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/iet-net.2013.0043
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract : Internet router buffers are commonly made very large with the aim of minimising losses and maximising link utilisation, supported by the ever‐decreasing cost of memory. However, large packet queues not only increase the energy consumption, but can also adversely affect network performance which has recently been attracting attention under 'bufferbloat'. This study compares the buffer‐related energy consumption of two models, that is, 'large‐buffer with on–off server' and 'small‐buffer with always‐on server' in the presence of multiplexed on–off traffic and FTP traffic; and demonstrates that the latter model is more energy efficient. Further analysis is then carried out on the 'small‐buffer model with always‐on server' for the evaluation of its performance against different levels of energy consumption. Relationships among energy, delay, throughput and loss are studied in a range of scenarios, quantifying the variations in performance metrics in relation to energy consumption. In general, lower buffer sizes which reduce the energy consumption were found to improve delay, but sacrifice throughput by 5–8% at high load. Based on a broad set of results, this study provides guidelines for sizing router buffers in realistic networks which would lead to optimal trade‐offs between energy consumption and quality of service.