—In today's computer architectures, the con guration of the storage system as well as the distribution of blocks within them have a big impact on the system's performance. Different RAIDs levels can have a signi cant in uence on cost, reliability, scalability as well as performance. In this paper, we propose a basic fuzzy queueing model (M/M/1) to evaluate the fuzzy arrival rate as well as the ...

We use Active Queue Management (AQM) strategy for congestion avoidance in Transmission Control Protocol (TCP) networks to regulate queue size close to a reference level. In this paper we present two efficient and new AQM systems as a queue controller. These methods are designed using Improved Neural Network (INN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Our aim is low queue variation...

In Distributed wireless network, this paper propose the traffic management for controlling the congestion, in which routers are associated with intelligent controllers to manage buffers and transfer packets for wired/wireless networks. By analyzing various existing traffic control protocols, which estimates auxiliary network parameters such as link latency, bottleneck, bandwidth, packet loss ra...

quality of service (qos) refers to a set of rules or techniques that help the network administrators use the available network resources optimally to manage the effects of congestion and to treat the applications according to their needs. the differentiated services architecture (diffserv) allows providing quality of service to users. the major diffserv premise is that individual flows with sim...

We introduce a novel and robust active queue management (AQM) scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion u...

This paper deals with the study of multi-server queueing model in a fuzzy environment imposition reneging customers. Entry customers system is assumed to be Poisson process and exponential service time distribution under first-come-first-served basis. Specific this investigation derive various performance measures such as queue length, waiting queue, response optimal number servers explicit for...

Random early detection (RED) is the most popular active queue management algorithm that is used by the Internet routers. This paper proposes a neuro-fuzzy controller which enhances the network performance by dynamically tuning of RED's maxp parameter. The controller first learns the network behavior against maxp variations and then adjusts maxp. Simulation results in ns-2 environment show that,...

High performance cell-based communications networks including ATM have been conceived to carry asynchronous traac sources and support a continuum of transport rates ranging from low bit-rate to high bit-rate traac. When a number of bursty traac sources add cells, the network is inevitably subject to congestion. Traditional approaches to congestion management include admission control algorithms...

Congestion control provides quality of service over the best effort networks. Congestion occurred when arrival rate to a router is greater than its departure rate. In this paper, using fuzzy logic approach, we have proposed a modified TCP equation-based active queue management mechanism which is based on traditional GREEN algorithm. Here we present our fuzzy GREEN controller which is expected t...