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Fairness of traffic controls for inelastic flows in the Internet
Affiliation:1. School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan, China;2. School of Computer Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan, China;1. School of Software Engineering, South China University of Technology, Guangzhou, China;2. Department of Mathematics and Information Technology, The Hong Kong Institute of Education, N.T., Hong Kong Special Administrative Region;3. Department of Computer Science and Engineering, Chinese University of Hong Kong, N.T., Hong Kong Special Administrative Region;4. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region;5. Caritas Institute of Higher Education, N.T., Hong Kong Special Administrative Region;1. Faculty of Systems Engineering, Wakayama University, 930, Sakaedani, Wakayama-shi, Wakayama, 640-8510, Japan;2. Center for Information Science, Wakayama University, 930, Sakaedani, Wakayama-shi, Wakayama, 640-8510, Japan;1. State Key Laboratory of Structure Analysis of Industrial Equipment and Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, PR China;2. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong;1. Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong;2. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, New Territories, Hong Kong;3. School of Electronic and Information Engineering, Beihang University, China
Abstract:In best-effort networks, fairness has been used as a criterion to guide the design of traffic controls. The notion of fairness has evolved over time, from simple equality to a form of equality modulated by the user’s need (e.g. max–min and proportional fairness). However, fairness has always been defined on a per-user basis for a deterministic workload. In this paper, we argue that we must redefine the notion of fairness when we study traffic controls for the co-existence of elastic and inelastic traffics. Our results indicate that subjecting inelastic flows to fairness congestion control on a per-flow basis does not necessarily maximize the network’s utility. Instead, inelastic flows may follow their own form of traffic control, such as admission control (without congestion control). At the aggregate level, our results indicate that it still makes sense to maintain a balance between elastic and inelastic traffic. In order to support our arguments, we develop a methodology for comparing different traffic controls for given utility functions and different workloads, both deterministic and stochastic.
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