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Traces were restricted to TCP traf c only; all user datagram protocol (UDP) traf c was discarded. Thus roughly one-third of all traf c at CMU and on the internal AT&T network was discarded but almost none on the external AT&T network. Note that neither of these networks carried any substantial amount of MBONE traf c. To be able to collect data over a reasonable time period only those TCP packets that are involved in the TCP connection establishment handshakes between the source and destination pair were collected, that is, those packets that either have their synchronize sequence numbers ag (SYN) or their nish ag (FIN) set in the TCP header (ignoring RST packets). From the traces one can derive the arrival time of TCP connections, their source and destination, their application, their durations, and the number of bytes transferred (excluding TCP=IP overhead) using the tcp-conn tool [22]. The CMU datasets cover nearly 161 hours over 8 different days and the AT&T datasets more than 1290 hours over 52 days. The packets with SYN, FIN ags are classi ed according to the application that generated them. We distinguished the traf c classes shown in Table 15.1. This classi cation to applications is based on the port numbers of the packets. All packets with port numbers that t none of these applications are collected in a separate class. Table 15.2 presents a breakdown of the observed TCP connection arrivals according to application classes. First we note that the traf c volume and traf c mix are highly dependent on the kind of network we were monitoring and when we were monitoring them. The observed change in the CMU traf c mix between December 1994 and June 1995 re ects the increasing popularity of the World Wide



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The loop control statement was originally written like this:

Figure 48 Example task graph G to illustrate difference between g(G) and gweak (G)

TABLE 15.1 X:

HTTP: RFS:

SMTP: FTP:





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Note that the task graph of Figure 48 is not unrealistic: in real programs there is often (but not always) some form of relation between the computation time and the communicated data This is the case in the example graph: node a has a short computation time w(a) = 1 and consequently a short outgoing communication time c(eab ) = 1 and the same principle holds for nodes b and c In conclusion, the concept of weak granularity seems to re ect this quite well Granularity and Critical Paths Using the granularity, a relation between the critical path cp and the computation critical path cpw of a task graph G can be established First, the ratio between the weight of an edge and weight of its origin node is studied Let G = (V, E, w, c) be a task graph For any edge eij E, ni , nj V, it follows directly from De nitions 421 and 422 that gweak (G) grain(nj ) w(ni ) c(eij ) (449)

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With this consideration, the following theorem can be established Theorem 46 (Relation Between Critical Path and Computation Critical Path) Let G = (V, E, w, c) be a task graph, cp its critical path, and cpw its computation critical path The nodes of cp are denoted by Vcp V, where nlast Vcp is the last node of cp, and its edges by Ec E It holds that len(cp) 1 + 1 lenw (cpw ) gweak (G) (450)

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Packets generated by World Wide Web applications such as Netscape and Mosaic. Packets generated by the X11 window system, for example, by xterms. CMU uses three remote le systems: the Brunhoff remote le system, the Andrew le system (AFS), and the network le system (NSF). Of these three the Brunhoff remote le system is the only one that uses TCP connections. Packets generated by the simple mail transfer protocol (smtp). Packets generated by the le transfer protocol (ftp). This includes ftp-control connections as well as ftp- data connections. Sometimes it is desirable to distinguish between these two types of connections. In this case we refer to them as FTP.CONTROL and FTP.DATA. Packets generated by the post of ce protocol. Packets generated by the remote terminal protocol. Packets generated by the network news transfer protocol. Packets associated with the user information query application. Packets generated by custom, CMU, or AT&T-speci c applications. Packets generated by spooling les to networked printers. Packets generated by a collection of protocols, including domain name service protocol and echo protocol.

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