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x / c0 From the paragraph above, this is the same as u i i i x i D 0, namely the condition for social welfare maximization For simplicity, we have assumed that the congestion cost is the rate of the lost packets If the cost of losing a packet is known, and the same for every packet and every user, then it makes sense to let the price per mark be the same to all users ( anonymous or nondiscriminatory in the economist s language), and equal to the cost of losing a packet More generally, however, the cost of losing a packet (through loss or delay) may be different for different users, and known only to the users What now are the properties of an equilibrium On the basis of present research, the answer is unclear.

The current service provided by WLAN is a best-effort data service; that is, all customers have the same priority to access a WLAN access point (AP). Different usages, however, should be able to demand different levels of reliability. A user who is browsing the Internet, for example, might be tolerant of delays and occasional connection failures. However, a user who is accessing an FTP server using the WLAN might want a constant and reliable connection. The new WLAN system must be able to differentiate services on the basis of each user s needs. In the current IEEE 802.11 standard, all stations have the same distributed interframe space (DIFS) value and perform the backoff window calculation scheme in the same way. As a result, the current IEEE 802.11 standard can provide only a best-effort service, as all stations have the same priority.

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In the case of an unbounded net, the covering graph represents a superset of the real behavior of the net. Without considering the nal markings, let us denote by LC(R, m0 ) the language associated with the covering graph, then we have: L R, m0 LC R, m0 . This inclusion is often strict. In the example, the sequence CU RE M A M A of the covering graph is not a ring sequence: the planter cannot eat more bananas than he has picked. 4.4.2. Shortest sequences The principle of this method relies on the following result: if a marking can be covered by the net, then it can be covered using a ring sequence whose length is bounded by a computable function of the size of the net and of the marking to be covered [RAC 78]. Observe that the bound does not depend on the initial marking. The algorithm consists of computing the bound and proceeding to a non-deterministic search among the paths with length bounded by this bound. We focus on the computation of the bound. Let us denote by k the number of places P = {p1 , . . . , pk } and n the size of the covering problem (i.e. of its representation).

Thus, we have described a decentralized charging scheme that achieves the social welfare optimum Note that it takes the general form of the congestion charges that we meet in this chapter: user i is charged for the losses that the presence of his packets in ict on other users Because the charge is computed on-line, and sends a user a mark precisely when a small increase in capacity would reduce the rate of loss packets by one, we call this a sample path shadow price Such a marking scheme is simple to implement in packet networks A router can charge each packet that contributes to an over ow the monetary value of a mark (the cost of a packet loss).

disseminate the latest experience in managing uncertainty as rapidly as possible. In this context it may be useful to see the PRMC project as a programme of projects, in the sense of Figure 2.3.

It then noti es the source by sending back a mark; this is implemented by setting a special bit in the header of a packet that is travelling back to the destination The user adjusts his rate of sending packets according to the rate of marks he receives, ie according to the rate of charge Such schemes are analysed more in detail in Section 102 942 A Congestion Model with Delay As above, suppose n users produce streams of packets as Poisson processes of rates x1 ; : : : ; x n These are queued and served by a single server Suppose all packets have service time 1 We model the system as a M=D=1 queue Suppose user i has a net bene t of the form P xi D xj vi xi / j where D is the queueing delay of an average packet.

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