Raj Jain, K. K. Ramakrishnan, and Dah-Ming Chiu, "A Binary Feedback Scheme for Congestion Avoidance in Computer Networks with a Connectionless Network Layer," pp. 303-313, Computer Communications Review, Vol 18, No 4 (SIGCOMM '88 Symposium, August, 1988). Home/Search Document Not in Database Summary Related Articles Check |
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Window-Based Congestion Management in Broadband ATM Networks: the .. - Leland (1989) (6 citations) (Correct)
....on the critical distinction between network level and user level performance. These studies reveal not only that end to end acknowledgement based protocols are inadequate for the broadband ATM environment, but that the more sophisticated congestion feedback methods of Jacobson [2] and Jain [11] may perform less well than less adaptive schemes. While leaky bucket access control policies can be quite successful at avoiding congestion within the network, our research uncovers previously unreported problems for such policies when user level behavior is considered. Although some of these ....
Raj Jain, K. K. Ramakrishnan, and Dah-Ming Chiu, "A Binary Feedback Scheme for Congestion Avoidance in Computer Networks with a Connectionless Network Layer," pp. 303-313, Computer Communications Review, Vol 18, No 4 (SIGCOMM '88 Symposium, August, 1988).
Why is Flow Control Hard: Optimality, Fairness, Partial and.. - Korilis, Lazar (1992) (4 citations) (Correct)
....increases drastically as nodal buffers start overflowing. The point at which packets start getting dropped is usually called the cliff, whereas the point after which the increase in throughput is small, but time delay is increasing rapidly, is termed the knee of the throughput load curve [CHI89, RAM90]. Why is Flow Control Hard: Optimality, Fairness, Partial and Delayed Information 2 Load slope 1 Cliff Knee Figure 1: Typical plot of throughput vs. offered load. Load Cliff Figure 2: Typical plot of time delay vs. offered load. Why is Flow Control Hard: Optimality, Fairness, Partial and ....
....user sends traffic, or by the other network users. This type of information acquisition is usually termed signaling. In particular, when the feedback signal is sent by some node on the user s path to indicate that congestion has been detected, the mechanism is usually called congestion signaling [RAM90]. Special control packets, e.g. choke or source quench packets [GER80] are examples of explicit congestion signals sent by the network nodes to the traffic sources. In implicit information acquisition, a user obtains information about the state of the network by applying a probing input and ....
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K. K. Ramakrisnan and Raj Jain, "A Binary Feedback Scheme for Congestion Avoidance in Computer Networks," ACM Transactions on Computer Systems, vol. 8, pp. 158--181, May 1990.
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