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situation in which too many packets demand for the same link resulting in long queues and drops of packets
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network elements try to meet the competing demands that applications have for network resources, e. g: by limiting the bandwidth or buffer space
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efforts made by network nodes to prevent or respond to overload conditions
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each router takes responsibility for deciding when packets are forwarded and selecting which packets are to be dropped
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the end hosts observe the network conditions and adjust their behaviour accordingly
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Reservation Based approach start learning
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some entity asks the network for a certain amount of capacity to be allocated for a flow
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end hosts begin sending data without first reserving any capacity and then adjust their sending rate according to the feedback they receive
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express to the sender how much data it is allowed to transmit through advertising of a window to the sender
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express to the sender how much data it is allowed to transmit through rate how many bits per second the receiver or network is able to absorb
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allocating both bandwidth (which packets get transmitted) and buffer space (which packets get discarded)
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separate queue for each flow currently being handled by the router
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Additive Increase/Multiplicative Decrease (AIMD start learning
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TCP source sets the CongestionWindow based on the level of congestion it perceives to exist in the network. Then it decreases the congestion window when the level of congestion goes up and vice versa
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increase the congestion window rapidly from a cold start. Slow start effectively increases the congestion window exponentially, rather than linearly
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Fast Retransmit Mechanism start learning
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triggers the retransmission of a dropped packet sooner than the regular timeout mechanism
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when fast retransmit mechanism signals congestion rather than drop the congestion window all the way back to one packet and run slow start it is possible to use the ACKs that are still in the pipe to clock the sending of packets
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Active Queue Management (AQM) start learning
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additional functionalities in the router to assist the end node to prevent congestion
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each router monitors the load it's experiencing and explicitly notifies the end nodes when congestion is about to occur
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Random Early Detection (RED) start learning
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each router monitors its own queue length and when it detects that congestion is imminent, notify the source to adjust congestion window. However implicitly notifies the source about congestion by dropping one of its packets
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Explicit Congestion Notification (ECN) start learning
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instead of dropping a packet, mark it and continue to send it along its way to the destination
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applications that are sensitive to the timeliness of data exchange
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Non-real-time applications start learning
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applications that can work without guarantees of timely delivery of data
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Integrated Services mechanism start learning
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guarantees QoS (quality of service) requirements through implementation of service classes
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Guaranteed Service Classes start learning
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used for intolerant applications; these applications require that a packet never arrive late, network should guarantee that the maximum delay that any packet will experience has some specified value
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meet the needs of tolerant, adaptive applications; The goal is to emulate a lightly loaded network for those applications that request the service, even though the network as a whole may in fact be heavily loaded
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application can adapt to the amount of delay that packets experience as they traverse the network
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tolerance for loss of data start learning
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data loss might occur because a packet arrived too late to be played back
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defined behaviour of individual routers
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packets marked for EF treatment should be forwarded by the router with minimal delay and loss
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packets marked with AF are forwarded with higher reliability
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