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non-repudiation service may store this evidence on behalf of clients and servers so that evidence can be retrieved when a dispute arises. A delivery authority generates proof of origin so that clients and servers cannot repudiate that it was actually them who created or received an object request. Note that these components of a non-repudiation service have to be trusted by both clients and servers so that they both accept the evidence that is provided by the service. It is worthwhile to note that non-repudiation may involve significant overheads. Therefore, such evidence is only collected for those object requests that have legally binding implications in the domain in which the distributed object system executes. In our direct banking application, for example, evidence will be needed for funds transfer requests, but no evidence will be needed for the request of an operation to return the account balance if we can assume that these requests are performed free of charge. Non-repudiation services are therefore only provided when client or server objects explicitly demand the creation of evidence. Hence the usage of non-repudiation is not transparent to designers of client and server objects. Evidence is provided in the form of non-repudiation tokens that are handed out to clients when servers have received an object request and to servers when clients have created an object request. There are two types of token. The first form of token includes all data that is needed for the evidence. The second form of token is a key that can then be used in a request to the non-repudiation service to produce the data that is needed for the evidence.

where n is the total number of parameters of the model to be estimated, N is the length of the data record, and V is the loss function for the model under consideration. Here, V is de ned as V

where r is the radius of the reactant, 2R is the distance between the reactant and its image charge in the electrode, eop and es are the optical and static permittivities, and (e 1 e 1) is the solvent Pekar factor (Table 1.3). The adiabatic ET process op s is obtained when the interaction between Ox and the electrode is considerable and, as the solid curves in Fig. 4.5 show, the splitting in the energy curves at the point of intersection is larger than the kinetic energy of thermal agitation (kBT). Then, the process from (Ox + e ) to Red occurs with unit probability through the lower solid curve (denoted by 1). In contrast, the non-adiabatic ET process occurs, as shown by the dashed curve in Fig. 4.5, when the splitting at the intersection is smaller than kBT and Ox may jump to its excited state (denoted by ). For a non-adiabatic process, s 1 in Eq. (4.11) should be replaced by s a where 0 < a < 1. L It is apparent from Eq. (4.11) that the solvent effect on ks has two components, i.e. an energetic component and a dynamic component. Here, the relation between {ln [ks/(DG )1/2] + DG /RT} and ln sL is expected to be linear, with a slope os os of unity for an adiabatic process. Moreover, if the dynamic component predominates, a near-linear relation can be expected between log ks and log sL. Both of these relations have been confirmed experimentally using the electrode processes of large organic and organometallic compounds, as shown in Sections 8.2.2 and 8.3.1 and in Fig. 8.8.

At first glance, it seems strange to use a different semantics for passing remote and nonremote objects. There are, however, good reasons, why the designers of Java/RMI made this choice. First, a remote object that is passed to a method on some other machine has the capability of being accessed remotely and therefore it can be passed by reference; the semantics of parameter-passing can be the same as in the case of a local method invocation. Secondly, non-remote objects are, by definition, not accessible from remote objects.

$ $ $ $ $ rdesktop rdesktop rdesktop rdesktop rdesktop 172.16.18.66 -u chris -p M6pyXX win1 -f win1 -0 -r sound:local win1 -E win1 Login to desktop at IP address Identify user/password for host win1 Run rdesktop in full-screen mode Direct sound from server to client Disable client/server encryption

It has been shown that a similar feedback processes is found in basic supply and demand models, which allow buyers and sellers to negotiate price. Similarly, best effort networks allow applications to negotiate a solution that achieves either the maximum utility or max min fairness. In the case of networks, the rate of a TCP source is controlled by a congestion signal, or price. that the network generates to regulate the demand for capacity. The source algorithm attempts to maximize the net benefit, B, of the consuming bandwidth at rate xs , which is equal to the utility, U xs , of having xs units of resource less the cost of purchase: Bs xs = Us xs xs p (8.1)