Design and analysis of a self-tuning feedback controller for the Internet |
| |
| Authors: | Naixue Xiong Yi Pan Xiaohua Jia Jong Hyuk Park Yingshu Li |
| |
| Affiliation: | 1. Department of Computer Science, Georgia State University, Atlanta 30303, USA;2. Department of Computer Science, City University of Hong Kong, Hong Kong;3. Department of Computer Science and Engineering, Kyungnam University, Korea;1. Depto. Ciencias de la Salud, Universidad Autónoma Metropolitana-Iztapalapa, Ciudad de México, Mexico;2. Depto. Investigación Clínica-Epidemiológica, Instituto Nacional de Geriatría, Ciudad de México, Mexico;3. Depto. Investigación Epidemiológica, Instituto Nacional del Seguro Social, Ciudad de México, Mexico;4. Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, Mexico;5. Depto. Biología de la Reproducción, Universidad Autónoma Metropolitana-Iztapalapa, Ciudad de México, Mexico;6. Depto. Investigación Básica, Instituto Nacional de Geriatría, Ciudad de México, Mexico;1. Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000, Ghent, Belgium;2. Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000, Ghent, Belgium;3. Mass Spectrometry Laboratory, Molecular Systems Research Unit, University of Liège, Allée du 6 Août 11, 4000, Liège, Belgium;1. Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, PR China;2. Department of Orthopaedics, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, PR China;3. Key Laboratory of Animal Embryo Engineering and Molecular Breeding of Hubei Province, Institute of Animal Science and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan, Hubei 430064, PR China;4. Department of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei 430071, PR China;1. Department of Pharmacology, Key Laboratory of Cardiovascular Research, Ministry of Education, College of Pharmacy, Harbin Medical University, Harbin 150086, China;2. Research Unit of Noninfectious Chronic Diseases in Frigid Zone, Chinese Academy of Medical Sciences, 2019RU070, China;3. Institute of Metabolic Disease, Heilongjiang Academy of Medical Science, Harbin, China;4. Departments of Cardiology and Clinical Pharmacy, Harbin Medical University Cancer Hospital, Heilongjiang Academy of Medical Science, Harbin, China;5. NHC Key Laboratory of Cell Transplantation, Harbin Medical University, Harbin, China;2. Department of Pharmacy, School of Medicine and Surgery, University of Naples Federico II, Via Domenico Montesano 49, 80131 Naples, Italy;3. Institute of Cardiovascular Sciences (ICVS), College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK;4. Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia;5. Department of Chemistry, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy;6. Department of Pathology, Cardarelli Hospital, Naples, Italy;7. Department of Molecular Medicine and Medical Biotechnologies, School of Medicine, University of Naples, Federico II, Via Pansini, 5, 80131 Naples, Italy;8. Department of Science, University of Basilicata, Via Dell''Ateneo Lucano, 85100 Potenza, Italy |
| |
| Abstract: | Active queue management (AQM) is an effective method used in Internet routers for congestion avoidance, and to achieve a tradeoff between link utilization and delay. The de facto standard, the random early detection (RED) AQM scheme, and most of its variants use average queue length as a congestion indicator to trigger packet dropping. This paper proposes a novel packet dropping scheme, called self-tuning proportional and integral RED (SPI-RED), as an extension of RED. SPI-RED is based on a self-tuning proportional and Integral feedback controller, which considers not only the average queue length at the current time point, but also the past queue lengths during a round-trip time to smooth the impact caused by short-lived traffic dynamics. Furthermore, we give theoretical analysis of the system stability and give guidelines for selection of feedback gains for the TCP/RED system to stabilize the average queue length at a desirable level. The proposed method can also be applied to the other variants of RED. Extensive simulations have been conducted with ns2. The simulation results have demonstrated that the proposed SPI-RED algorithm outperforms the existing AQM schemes in terms of drop probability and stability. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
