Description
Title: SELF-ADAPTIVE ACTIVE QUEUE MANAGEMENT SCHEME FOR IMPROVING SERVICE QUALITY IN NETWORK SYSTEMS (SARED)
Abstract: The threat of congestion to the quality of the services offered in network systems, given their phenomenal growth, makes research on congestion control still pertinent. Active queue management (AQM) is regarded by the Internet research community as a successful strategy for reducing network system congestion. Since the majority of current AQM schemes lack a self-adaptation mechanism and have static drop patterns, they are ineffective for networks with fluctuating traffic loads. In order to maintain improved and stable performance, this paper suggests a self-adaptive random early detection (SARED) scheme that intelligently adapts its drop pattern based on a current network’s traffic load. When there is a light to moderate load, SARED operates in nonlinear modes to maximize utilization and throughput, while when there is a heavy load, it switches to a linear mode to prevent forced drops and congestion. Our research has shown that SARED delivers the best performance regardless of the traffic load situation.
Keywords: congestion control, AQM, RED, SARED, network systems, QoS
Paper Quality: SCOPUS / Web of Science Level Research Paper
Paper type: Analysis Based Research Paper
Subject: Computer Science
Writer Experience: 20+ Years
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